Smoothing the histogram: The Normal Curve (Chapter 8)

Size: px
Start display at page:

Download "Smoothing the histogram: The Normal Curve (Chapter 8)"

Transcription

1 Sept. 3 Statistic for the day: Compared to same month the previous year, average monthly drop in U.S. traffic fatalities from May 27 to Feb. 28:.2% Drop in March 28: 22.1% Drop in April 28: 17.9% Smoothing the histogram: The Normal Curve (Chapter 8) A histogram tends to be rough. To replace it with a bell shaped curve: Center the bell at the mean. The bell should be just wide enough so that the middle 95% of the bell is standard deviations wide. This makes systematic, accurate predictions of all sorts possible, provided the bell shape is appropriate for the underlying population. Recall this dataset on handspans from the previous lecture: Men (n = 78) Histogram of HandSpan, with Normal Curve Women (n = 89) HandSpan Mean = 2.86 Standard deviation = Histogram of HandSpan, with Normal Curve Histogram of, with Normal Curve HandSpan Mean = 2.86 Standard deviation = Mean = 68 inches or 5 feet 8 inches Standard deviation = inches 1

2 Research Question 1: If I built my doors 75 inches (6 feet 3 inches) high, what percent of the people would have to duck? Histogram of, with Normal Curve Research Question 2: How high should I build my doorways so that 99% of the people will not have to duck? 6 7 Question 1 (x=75) 8 Question 2 (x=??) Q1: The value of x is 75; find the amount of distribution above it. Q2: Find the value of x so that 99% of the distribution is below it. Z-Scores: Measurement in Standard Deviations 75 mean Z = = = 1.75 SD Compute your Z-score. 1. How many standard deviations are you above or below the mean. Use: Mean = 68 inches Standard deviation = inches 2. Now use the table from the book (p. 157) to determine what percentile you are. Compare s of Females and Males 8 7 Stat 1 students Sp1 Assume male heights have a normal distribution with mean 7 inches and st dev 3 inches. Assume female heights have a normal distribution with mean 6 inches and st dev 3 inches. What is your Z-Score within your sex? What is your percentile within your sex? 6 Female Sex Male 2

3 Answer to Question 1: What percent of people would have to duck if I built my doors 75 inches high? 3 Histogram of, with Normal Curve Recall: 75 has a Z-score of 1.75 From the standard normal table in the book:.96 or 96% of the distribution is below Hence,. or % is above % in here So % of the distribution is above 75 inches Question 1 (x=75) The value at x is 75; find the amount of distribution above it. Convert 75 to Z = 1.75 and use Table 8.1 on p Question 2: What is the value so that 99% of the distribution is below it? (called the 99 th percentile.) 1. Look up the Z-score that corresponds to the 99 th percentile. From the table: Z = Now convert it over to inches: = h h 99 = () = 77.3 Therefore, 99% of the distribution is shorter than 77.3 inches (6 foot 5.3 inches) and that s how high the door should be built Histogram of, with Normal Curve 6 99% in here 7 8 Question inches is the 99th percentile To find the value so that 99% of the distribution is below it: Look up the Z-score for the 99 th percentile and convert it back to inches. Answer these questions: To answer question 1, first convert 72 inches to a z-score: (Assume that adults heights are normally distributed with mean 68 inches and standard deviation inches.).8 or 8% 3

4 Answer to Question 2: What is the first quartile of heights? Translation: First quartile means 25 th percentile, which means.25 are below that height. From p. 157: Find the z-score corresponding to the 25 th percentile..67 Now convert this z-score into a height: h 68 Z score = h = 68 + ( Z score) Shaquille O Neal is 7 feet 1 inch or 85 inches tall. How many people in the country are taller? We will assume that heights are normally distributed with mean 68 inches and standard deviation inches. O Neal s Z-score is Z = (85-68)/ =.25. In other words O Neal is.25 standard deviations above the mean(!) There is only.11 of the normal distribution above.25 standard deviations. There are roughly 35 million people in US. About 9% are over the age of 2 (Census Bureau). That is about 15 million. Page 157 Hence, there should be roughly.11 times 15 million or 165 people taller than Shaquille O Neal. Note: This is an extremely rough calculation, since the normal distribution approximation is less accurate at the extremes. Also, cutting off at age 2 might miss some tall teens! Page 158 Suppose someone claims to have tossed a fair coin 1 times and got 7 heads. Would you believe them?

5 Toss a coin 1 times Repeat 5 times and form a histogram Number of heads So the distribution of the number of heads in 1 tosses of a fair coin is: 1. What is the mean? 2. What is the standard deviation? 3. Let s suppose the smooth version is normal. 5

STAT 101 Assignment 1

STAT 101 Assignment 1 STAT 1 Assignment 1 1. From the text: # 1.30 on page 29. A: For the centre the median is 2, the mean is 2.62. I am happy with either for an answer and I am happy to have these read off roughly by eye.

More information

Mrs. Daniel- AP Stats Ch. 2 MC Practice

Mrs. Daniel- AP Stats Ch. 2 MC Practice Mrs. Daniel- AP Stats Ch. 2 MC Practice Name: 1. Jorge s score on Exam 1 in his statistics class was at the 64th percentile of the scores for all students. His score falls (a) between the minimum and the

More information

b) (2 pts.) Does the study show that drinking 4 or more cups of coffee a day caused the higher death rate?

b) (2 pts.) Does the study show that drinking 4 or more cups of coffee a day caused the higher death rate? Question 1 (10 pts) A study published in the August 15, 2017 issue of Mayo Clinic Proceedings tracked 44,000 people aged 20 to 87 for an average of about 16 years and found that those who drank 4 or more

More information

AP Stats Chapter 2 Notes

AP Stats Chapter 2 Notes AP Stats Chapter 2 Notes 2.1 Measures of Relative Standing & Density Curves What is a percentile? On a test, is a student s percentile the same as the percent correct? Example: Test Scores Suppose the

More information

Chapter 6 The Standard Deviation as a Ruler and the Normal Model

Chapter 6 The Standard Deviation as a Ruler and the Normal Model Chapter 6 The Standard Deviation as a Ruler and the Normal Model Standardizing with z-scores Expressing data in terms of We standardize to Standardized values can be even if the original variables had

More information

% per year Age (years)

% per year Age (years) Stat 1001 Winter 1998 Geyer Homework 2 Problem 3.1 66 inches and 72 inches. Problem 3.2 % per year 0.0 0.5 1.0 1.5 0 20 40 60 80 Age (years) (a) Age 1. (b) More 31-year olds (c) More people age 35{44,

More information

Histogram. Collection

Histogram. Collection Density Curves and Normal Distributions Suppose we looked at an exam given to a large population of students. The histogram of this data appears like the graph to the left below. However, rather than show

More information

IHS AP Statistics Chapter 2 Modeling Distributions of Data MP1

IHS AP Statistics Chapter 2 Modeling Distributions of Data MP1 IHS AP Statistics Chapter 2 Modeling Distributions of Data MP1 Monday Tuesday Wednesday Thursday Friday August 22 A Day 23 B Day 24 A Day 25 B Day 26 A Day Ch1 Exploring Data Class Introduction Getting

More information

Name Date Period. E) Lowest score: 67, mean: 104, median: 112, range: 83, IQR: 102, Q1: 46, SD: 17

Name Date Period. E) Lowest score: 67, mean: 104, median: 112, range: 83, IQR: 102, Q1: 46, SD: 17 Chapter 6 Review Standards: 4, 7, 8, and 11 Name Date Period Write complete answers, using complete sentences where necessary. Show your work when possible. MULTIPLE CHOICE. Choose the one alternative

More information

1. The data below gives the eye colors of 20 students in a Statistics class. Make a frequency table for the data.

1. The data below gives the eye colors of 20 students in a Statistics class. Make a frequency table for the data. 1. The data below gives the eye colors of 20 students in a Statistics class. Make a frequency table for the data. Green Blue Brown Blue Blue Brown Blue Blue Blue Green Blue Brown Blue Brown Brown Blue

More information

Chapter 2: Modeling Distributions of Data

Chapter 2: Modeling Distributions of Data Chapter 2: Modeling Distributions of Data Section 2.1 The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE Chapter 2 Modeling Distributions of Data 2.1 2.2 Normal Distributions Section

More information

The pth percentile of a distribution is the value with p percent of the observations less than it.

The pth percentile of a distribution is the value with p percent of the observations less than it. Describing Location in a Distribution (2.1) Measuring Position: Percentiles One way to describe the location of a value in a distribution is to tell what percent of observations are less than it. De#inition:

More information

Averages. October 19, Discussion item: When we talk about an average, what exactly do we mean? When are they useful?

Averages. October 19, Discussion item: When we talk about an average, what exactly do we mean? When are they useful? Averages October 19, 2005 Discussion item: When we talk about an average, what exactly do we mean? When are they useful? 1 The Arithmetic Mean When we talk about an average, we can mean different things

More information

CHAPTER 2 Modeling Distributions of Data

CHAPTER 2 Modeling Distributions of Data CHAPTER 2 Modeling Distributions of Data 2.2 Density Curves and Normal Distributions The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers Density Curves

More information

Chapter 3.4. Measures of position and outliers. Julian Chan. September 11, Department of Mathematics Weber State University

Chapter 3.4. Measures of position and outliers. Julian Chan. September 11, Department of Mathematics Weber State University Chapter 3.4 Measures of position and outliers Julian Chan Department of Mathematics Weber State University September 11, 2011 Intro 1 We will talk about how to measure the position of an observation which

More information

If a fair coin is tossed 10 times, what will we see? 24.61% 20.51% 20.51% 11.72% 11.72% 4.39% 4.39% 0.98% 0.98% 0.098% 0.098%

If a fair coin is tossed 10 times, what will we see? 24.61% 20.51% 20.51% 11.72% 11.72% 4.39% 4.39% 0.98% 0.98% 0.098% 0.098% Coin tosses If a fair coin is tossed 10 times, what will we see? 30% 25% 24.61% 20% 15% 10% Probability 20.51% 20.51% 11.72% 11.72% 5% 4.39% 4.39% 0.98% 0.98% 0.098% 0.098% 0 1 2 3 4 5 6 7 8 9 10 Number

More information

3.3 - Measures of Position

3.3 - Measures of Position 3.3 - Measures of Position Z-Scores Who is taller, a man 73 inches tall or a woman 68 inches tall? The obvious answer is that the man is taller. However, men are taller than women on the average. Let s

More information

Skills Practice Skills Practice for Lesson 17.1

Skills Practice Skills Practice for Lesson 17.1 Skills Practice Skills Practice for Lesson.1 Name Date Products and Probabilities Discrete Data and Probability Distributions Vocabulary Describe similarities and differences between each pair of terms.

More information

Homework 7, Due March

Homework 7, Due March Homework 7, Due March 18 2010 Chapter 6, questions 6.6, 6.10, 6.26, 6.28 Remark: 6.28 is a follow-on to 6.27. You are not requested to hand in 6.27 as well, but probably you should work through 6.27 for

More information

THE NORMAL DISTRIBUTION COMMON CORE ALGEBRA II

THE NORMAL DISTRIBUTION COMMON CORE ALGEBRA II Name: Date: THE NORMAL DISTRIBUTION COMMON CORE ALGEBRA II Many populations have a distribution that can be well described with what is known as The Normal Distribution or the Bell Curve. This curve, as

More information

AP STATISTICS Name Chapter 6 Applications Period: Use summary statistics to answer the question. Solve the problem.

AP STATISTICS Name Chapter 6 Applications Period: Use summary statistics to answer the question. Solve the problem. AP STATISTICS Chapter 6 Applications Name Period: Use summary statistics to answer the question. 1) The speed vehicles travelled on a local highway was recorded for one month. The speeds ranged from 48

More information

PRACTICE PROBLEMS FOR EXAM 1

PRACTICE PROBLEMS FOR EXAM 1 ST 311 PRACTICE PROBLEMS FOR EXAM 1 Topics covered on Exam 1: Chapters 1-7 in text. Reiland This material is covered in webassign homework assignments 1 through 4 and worksheets 1-7. " Exam information:

More information

Math 1040 Exam 2 - Spring Instructor: Ruth Trygstad Time Limit: 90 minutes

Math 1040 Exam 2 - Spring Instructor: Ruth Trygstad Time Limit: 90 minutes Math 1040 Exam 2 - Spring 2012 Name Instructor: Ruth Trygstad Time Limit: 90 minutes Any calculator is okay, but no computers, cell phones or other hand-held devices are allowed. Tables and formulas are

More information

AP Statistics Midterm Exam 2 hours

AP Statistics Midterm Exam 2 hours AP Statistics Midterm Exam 2 hours Name Directions: Work on these sheets only. Read each question carefully and answer completely but concisely (point values are from 1 to 3 points so no written answer

More information

1wsSMAM 319 Some Examples of Graphical Display of Data

1wsSMAM 319 Some Examples of Graphical Display of Data 1wsSMAM 319 Some Examples of Graphical Display of Data 1. Lands End employs numerous persons to take phone orders. Computers on which orders are entered also automatically collect data on phone activity.

More information

For questions 1-15 please assume a distribution with a mean of 30 and a standard deviation of 2.

For questions 1-15 please assume a distribution with a mean of 30 and a standard deviation of 2. Intro to Statistics for the Social Sciences Fall 2016, Dr. Suzanne Delaney - Homework #10 Lab Session: CID Number: Name: This homework will provide practice in finding and manipulating means, raw scores,

More information

Math 243 Section 4.1 The Normal Distribution

Math 243 Section 4.1 The Normal Distribution Math 243 Section 4.1 The Normal Distribution Here are some roughly symmetric, unimodal histograms The Normal Model The famous bell curve Example 1. The mean annual rainfall in Portland is unimodal and

More information

PSY201: Chapter 5: The Normal Curve and Standard Scores

PSY201: Chapter 5: The Normal Curve and Standard Scores PSY201: Chapter 5: The Normal Curve and Standard Scores Introduction: Normal curve + a very important distribution in behavior sciences + three principal reasons why... - 1. many of the variables measured

More information

(c) The hospital decided to collect the data from the first 50 patients admitted on July 4, 2010.

(c) The hospital decided to collect the data from the first 50 patients admitted on July 4, 2010. Math 155, Test 1, 18 October 2011 Name: Instructions. This is a closed-book test. You may use a calculator (but not a cell phone). Make sure all cell-phones are put away and that the ringer is off. Show

More information

STANDARD SCORES AND THE NORMAL DISTRIBUTION

STANDARD SCORES AND THE NORMAL DISTRIBUTION STANDARD SCORES AND THE NORMAL DISTRIBUTION REVIEW 1.MEASURES OF CENTRAL TENDENCY A.MEAN B.MEDIAN C.MODE 2.MEASURES OF DISPERSIONS OR VARIABILITY A.RANGE B.DEVIATION FROM THE MEAN C.VARIANCE D.STANDARD

More information

Full file at

Full file at Chapter 2 1. Describe the distribution. survival times of persons diagnosed with terminal lymphoma A) approximately normal B) skewed left C) skewed right D) roughly uniform Ans: C Difficulty: low 2. Without

More information

Homework Exercises Problem Set 1 (chapter 2)

Homework Exercises Problem Set 1 (chapter 2) 1 Name: Homework Exercises Problem Set 1 (chapter 2) Exercise 2.5.1 The 10 third-grade students at Lake Wobegone elementary school took a spelling test with 10 words, each worth one point. Given that the

More information

Political Science 30: Political Inquiry Section 5

Political Science 30: Political Inquiry Section 5 Political Science 30: Political Inquiry Section 5 Taylor Carlson tncarlson@ucsd.edu Link to Stats Motivation of the Week They ve done studies, you know. 60% of the time, it works every time. Brian, Anchorman

More information

Study Guide and Intervention

Study Guide and Intervention Study Guide and Intervention Normal and Skewed Distributions A continuous probability distribution is represented by a curve. Types of Continuous Distributions Normal Positively Skewed Negatively Skewed

More information

How are the values related to each other? Are there values that are General Education Statistics

How are the values related to each other? Are there values that are General Education Statistics How are the values related to each other? Are there values that are General Education Statistics far away from the others? Class Notes Measures of Position and Outliers: Z-scores, Percentiles, Quartiles,

More information

Scaled vs. Original Socre Mean = 77 Median = 77.1

Scaled vs. Original Socre Mean = 77 Median = 77.1 Have out... - notebook - colors - calculator (phone calc will work fine) Tests back as you come in! vocab example Tests Scaled vs. Original Socre Mean = 77 Median = 77.1 + Δ vocab example 1 2.1 Describing

More information

Fundamentals of Machine Learning for Predictive Data Analytics

Fundamentals of Machine Learning for Predictive Data Analytics Fundamentals of Machine Learning for Predictive Data Analytics Appendix A Descriptive Statistics and Data Visualization for Machine learning John Kelleher and Brian Mac Namee and Aoife D Arcy john.d.kelleher@dit.ie

More information

Unit 3 - Data. Grab a new packet from the chrome book cart. Unit 3 Day 1 PLUS Box and Whisker Plots.notebook September 28, /28 9/29 9/30?

Unit 3 - Data. Grab a new packet from the chrome book cart. Unit 3 Day 1 PLUS Box and Whisker Plots.notebook September 28, /28 9/29 9/30? Unit 3 - Data Grab a new packet from the chrome book cart 9/28 9/29 9/30? 10/3 10/4 10/5 10/6 10/7-10/10 10/11 10/12 10/13 Practice ACT #1 Lesson 1: Box and Whisker Plots I can find the 5 number summary

More information

DESCRIBE the effect of adding, subtracting, multiplying by, or dividing by a constant on the shape, center, and spread of a distribution of data.

DESCRIBE the effect of adding, subtracting, multiplying by, or dividing by a constant on the shape, center, and spread of a distribution of data. Today's Objectives: FIND and INTERPRET the standardized score (z-score) of an individual value within a distribution of data. DESCRIBE the effect of adding, subtracting, multiplying by, or dividing by

More information

MATH 114 QUANTITATIVE REASONING PRACTICE TEST 2

MATH 114 QUANTITATIVE REASONING PRACTICE TEST 2 MATH 114 QUANTITATIVE REASONING PRACTICE TEST 2 1. Based on general features which the following data sets would most likely have (skew, outliers or lack of outliers, etc.), circle all of the following

More information

Chapter 9: Hypothesis Testing for Comparing Population Parameters

Chapter 9: Hypothesis Testing for Comparing Population Parameters Chapter 9: Hypothesis Testing for Comparing Population Parameters Hypothesis testing can address many di erent types of questions. We are not restricted to looking at the estimated value of a single population

More information

Confidence Intervals with proportions

Confidence Intervals with proportions Confidence Intervals with proportions a.k.a., 1-proportion z-intervals AP Statistics Chapter 19 1-proportion z-interval Statistic + Critical value Standard deviation of the statistic POINT ESTIMATE STANDARD

More information

Quantitative Literacy: Thinking Between the Lines

Quantitative Literacy: Thinking Between the Lines Quantitative Literacy: Thinking Between the Lines Crauder, Noell, Evans, Johnson Chapter 6: Statistics 2013 W. H. Freeman and Company 1 Chapter 6: Statistics Lesson Plan Data summary and presentation:

More information

Money Lost or Won -$5 +$3 +$7

Money Lost or Won -$5 +$3 +$7 Math 137 Unit 7 Review 1. The numbers of endangered species for several groups are listed here. Location Mammals Birds Reptiles Amphibians Total USA 63 78 14 10 Foreign 251 175 64 8 Total If one endangered

More information

MATH 118 Chapter 5 Sample Exam By: Maan Omran

MATH 118 Chapter 5 Sample Exam By: Maan Omran MATH 118 Chapter 5 Sample Exam By: Maan Omran Problem 1-4 refer to the following table: X P Product a 0.2 d 0 0.1 e 1 b 0.4 2 c? 5 0.2? E(X) = 1.7 1. The value of a in the above table is [A] 0.1 [B] 0.2

More information

Chapter 1: Why is my evil lecturer forcing me to learn statistics?

Chapter 1: Why is my evil lecturer forcing me to learn statistics? Chapter 1: Why is my evil lecturer forcing me to learn statistics? Labcoat Leni s Real Research Is Friday the 13th Unlucky? Problem Scanlon, T. J., et al. (1993). British Medical Journal, 307, 1584 158.

More information

Chapter 1: Why is my evil lecturer forcing me to learn statistics?

Chapter 1: Why is my evil lecturer forcing me to learn statistics? Chapter : Why is my evil lecturer forcing me to learn statistics? Labcoat Leni s Real Research Is Friday the 3th Unlucky? Problem Scanlon, T. J., et al. (3). British Medical Journal, 3, 8 8. Many of us

More information

Descriptive Statistics Project Is there a home field advantage in major league baseball?

Descriptive Statistics Project Is there a home field advantage in major league baseball? Descriptive Statistics Project Is there a home field advantage in major league baseball? DUE at the start of class on date posted on website (in the first 5 minutes of class) There may be other due dates

More information

In my left hand I hold 15 Argentine pesos. In my right, I hold 100 Chilean

In my left hand I hold 15 Argentine pesos. In my right, I hold 100 Chilean Chapter 6 Meeting Standards and Standings In This Chapter How to standardize scores Making comparisons Ranks in files Rolling in the percentiles In my left hand I hold 15 Argentine pesos. In my right,

More information

Sample Final Exam MAT 128/SOC 251, Spring 2018

Sample Final Exam MAT 128/SOC 251, Spring 2018 Sample Final Exam MAT 128/SOC 251, Spring 2018 Name: Each question is worth 10 points. You are allowed one 8 1/2 x 11 sheet of paper with hand-written notes on both sides. 1. The CSV file citieshistpop.csv

More information

STAT 155 Introductory Statistics. Lecture 2: Displaying Distributions with Graphs

STAT 155 Introductory Statistics. Lecture 2: Displaying Distributions with Graphs The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL STAT 155 Introductory Statistics Lecture 2: Displaying Distributions with Graphs 8/29/06 Lecture 2-1 1 Recall Statistics is the science of data. Collecting

More information

CHAPTER 2 Modeling Distributions of Data

CHAPTER 2 Modeling Distributions of Data CHAPTER 2 Modeling Distributions of Data 2.1 Describing Location in a Distribution The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers Describing Location

More information

Today s plan: Section 4.2: Normal Distribution

Today s plan: Section 4.2: Normal Distribution 1 Today s plan: Section 4.2: Normal Distribution 2 Characteristics of a data set: mean median standard deviation five-number summary 2 Characteristics of a data set: mean median standard deviation five-number

More information

Chapter 1 Test B. 4. What are two advantages of using simulation techniques instead of actual situations?

Chapter 1 Test B. 4. What are two advantages of using simulation techniques instead of actual situations? Name: Date: 1. The 50 states in the United States were numbered alphabetically and a researcher decided to randomly select a number and then survey every sixth state on unemployment rates. What type of

More information

Measuring Relative Achievements: Percentile rank and Percentile point

Measuring Relative Achievements: Percentile rank and Percentile point Measuring Relative Achievements: Percentile rank and Percentile point Consider an example where you receive the same grade on a test in two different classes. In which class did you do better? Why do we

More information

Exploring Measures of Central Tendency (mean, median and mode) Exploring range as a measure of dispersion

Exploring Measures of Central Tendency (mean, median and mode) Exploring range as a measure of dispersion Unit 5 Statistical Reasoning 1 5.1 Exploring Data Goals: Exploring Measures of Central Tendency (mean, median and mode) Exploring range as a measure of dispersion Data: A set of values. A set of data can

More information

Unit 6 Day 2 Notes Central Tendency from a Histogram; Box Plots

Unit 6 Day 2 Notes Central Tendency from a Histogram; Box Plots AFM Unit 6 Day 2 Notes Central Tendency from a Histogram; Box Plots Name Date To find the mean, median and mode from a histogram, you first need to know how many data points were used. Use the frequency

More information

CHAPTER 2 Modeling Distributions of Data

CHAPTER 2 Modeling Distributions of Data CHAPTER 2 Modeling Distributions of Data 2.1 Describing Location in a Distribution The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers 2.1 Reading Quiz

More information

Solutionbank S1 Edexcel AS and A Level Modular Mathematics

Solutionbank S1 Edexcel AS and A Level Modular Mathematics Page 1 of 1 Exercise A, Question 1 A group of thirty college students was asked how many DVDs they had in their collection. The results are as follows. 12 25 34 17 12 18 29 34 45 6 15 9 25 23 29 22 20

More information

Psychology - Mr. Callaway/Mundy s Mill HS Unit Research Methods - Statistics

Psychology - Mr. Callaway/Mundy s Mill HS Unit Research Methods - Statistics Psychology - Mr. Callaway/Mundy s Mill HS Unit 2.3 - Research Methods - Statistics How do psychologists ask & answer questions? Last time we asked that we were discussing Research Methods. This time we

More information

North Point - Advance Placement Statistics Summer Assignment

North Point - Advance Placement Statistics Summer Assignment North Point - Advance Placement Statistics This assignment is due during the first week of class. It is considered an exam grade, which that category is worth approximately 60% of your total grade. All

More information

Chapter 12 Practice Test

Chapter 12 Practice Test Chapter 12 Practice Test 1. Which of the following is not one of the conditions that must be satisfied in order to perform inference about the slope of a least-squares regression line? (a) For each value

More information

Des Moines Area MPO Safety Performance Targets and Methodology

Des Moines Area MPO Safety Performance Targets and Methodology Des Moines Area MPO Safety Performance Targets and Methodology February 2019 2 P a g e CONTENTS BACKGROUND... 3 Safety Goals in Mobilizing Tomorrow... 3 STATEWIDE TARGETS... 4 DES MOINES AREA MPO SAFETY

More information

Lesson Z-Scores and Normal Distributions

Lesson Z-Scores and Normal Distributions STATWAY STUDENT HANDOUT STUDENT NAME DATE INTRODUCTION 1 A large company is hiring one employee for a top position. Your team will recommend who gets the job. After completing many interviews, reference

More information

Chapter 4 Displaying Quantitative Data

Chapter 4 Displaying Quantitative Data Chapter Displaying Quantitative Data 17 Chapter Displaying Quantitative Data 1. Statistics in print. Answers will vary. 2. Not a histogram. Answers will vary. 3. In the news. Answers will vary.. In the

More information

Internet Technology Fundamentals. To use a passing score at the percentiles listed below:

Internet Technology Fundamentals. To use a passing score at the percentiles listed below: Internet Technology Fundamentals To use a passing score at the percentiles listed below: PASS candidates with this score or HIGHER: 2.90 High Scores Medium Scores Low Scores Percentile Rank Proficiency

More information

y ) s x x )(y i (x i r = 1 n 1 s y Statistics Lecture 7 Exploring Data , y 2 ,y n (x 1 ),,(x n ),(x 2 ,y 1 How two variables vary together

y ) s x x )(y i (x i r = 1 n 1 s y Statistics Lecture 7 Exploring Data , y 2 ,y n (x 1 ),,(x n ),(x 2 ,y 1 How two variables vary together Statistics 111 - Lecture 7 Exploring Data Numerical Summaries for Relationships between Variables Administrative Notes Homework 1 due in recitation: Friday, Feb. 5 Homework 2 now posted on course website:

More information

NOTES: STANDARD DEVIATION DAY 4 Textbook Chapter 11.1, 11.3

NOTES: STANDARD DEVIATION DAY 4 Textbook Chapter 11.1, 11.3 NOTES: STANDARD DEVIATION DAY 4 Textbook Chapter 11.1, 11.3 OBJECTIVE: Today you will learn about standard deviation and the normal curve! There are three ways that we can measure how spread out the data

More information

Stat 139 Homework 3 Solutions, Spring 2015

Stat 139 Homework 3 Solutions, Spring 2015 Stat 39 Homework 3 Solutions, Spring 05 Problem. Let i Nµ, σ ) for i,..., n, and j Nµ, σ ) for j,..., n. Also, assume that all observations are independent from each other. In Unit 4, we learned that the

More information

The Churches of Christ Bible Bowl of North East Texas - Guidelines (Originated at initial planning meeting in September, 2007)

The Churches of Christ Bible Bowl of North East Texas - Guidelines (Originated at initial planning meeting in September, 2007) The Churches of Christ Bible Bowl of North East Texas - Guidelines (Originated at initial planning meeting in September, 2007) I. Name The Churches of Christ Bible Bowl of North East Texas (BBNET) A. It

More information

Confidence Interval Notes Calculating Confidence Intervals

Confidence Interval Notes Calculating Confidence Intervals Confidence Interval Notes Calculating Confidence Intervals Calculating One-Population Mean Confidence Intervals for Quantitative Data It is always best to use a computer program to make these calculations,

More information

Neighborhood Influences on Use of Urban Trails

Neighborhood Influences on Use of Urban Trails Neighborhood Influences on Use of Urban Trails Greg Lindsey, Yuling Han, Jeff Wilson Center for Urban Policy and the Environment Indiana University Purdue University Indianapolis Objectives Present new

More information

Week 7 One-way ANOVA

Week 7 One-way ANOVA Week 7 One-way ANOVA Objectives By the end of this lecture, you should be able to: Understand the shortcomings of comparing multiple means as pairs of hypotheses. Understand the steps of the ANOVA method

More information

Reminders. Homework scores will be up by tomorrow morning. Please me and the TAs with any grading questions by tomorrow at 5pm

Reminders. Homework scores will be up by tomorrow morning. Please  me and the TAs with any grading questions by tomorrow at 5pm Reminders Homework scores will be up by tomorrow morning Please email me and the TAs with any grading questions by tomorrow at 5pm 1 Chapter 12: Describing Distributions with Numbers Aaron Zimmerman STAT

More information

Lab 2: Probability. Hot Hands. Template for lab report. Saving your code

Lab 2: Probability. Hot Hands. Template for lab report. Saving your code Lab 2: Probability Hot Hands Basketball players who make several baskets in succession are described as having a hot hand. Fans and players have long believed in the hot hand phenomenon, which refutes

More information

College/high school median annual earnings gap,

College/high school median annual earnings gap, College/high school median annual earnings gap, 1979 2012 In constant 2012 dollars 70,000 dollars Household gap $30,298 to $58,249 60,000 50,000 40,000 Male gap $17,411 to $34,969 30,000 20,000 10,000

More information

HEALTH INSURANCE COVERAGE STATUS American Community Survey 1-Year Estimates

HEALTH INSURANCE COVERAGE STATUS American Community Survey 1-Year Estimates S2701 HEALTH INSURANCE COVERAGE STATUS 2014 American Community Survey 1-Year Estimates Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on

More information

TRAPPING HARVEST STATISTICS. Division of Fish and Wildlife 500 Lafayette Road, Box 20 Saint Paul, MN (651)

TRAPPING HARVEST STATISTICS. Division of Fish and Wildlife 500 Lafayette Road, Box 20 Saint Paul, MN (651) TRAPPING HARVEST STATISTICS Division of Fish and Wildlife 500 Lafayette Road, Box 20 Saint Paul, MN 55155-4020 (651) 259-5207 265 266 2014 TRAPPER HARVEST SURVEY INTRODUCTION Margaret Dexter, Wildlife

More information

TRAPPING HARVEST STATISTICS. Division of Fish and Wildlife 500 Lafayette Road, Box 20 Saint Paul, MN (651)

TRAPPING HARVEST STATISTICS. Division of Fish and Wildlife 500 Lafayette Road, Box 20 Saint Paul, MN (651) TRAPPING HARVEST STATISTICS Division of Fish and Wildlife 500 Lafayette Road, Box 20 Saint Paul, MN 55155-4020 (651) 259-5207 285 286 INTRODUCTION 2015 TRAPPER HARVEST SURVEY Margaret Dexter, Wildlife

More information

Safety Assessment of Installing Traffic Signals at High-Speed Expressway Intersections

Safety Assessment of Installing Traffic Signals at High-Speed Expressway Intersections Safety Assessment of Installing Traffic Signals at High-Speed Expressway Intersections Todd Knox Center for Transportation Research and Education Iowa State University 2901 South Loop Drive, Suite 3100

More information

Business Statistics Homework #4, Fall 2017

Business Statistics Homework #4, Fall 2017 Business Statistics Homework #4, Fall 2017 Instructions: For all problems, use the 7 Steps in Hypothesis testing and round all z and t-values to 2 decimal places. Small samples are collected from normally

More information

Section 3.2: Measures of Variability

Section 3.2: Measures of Variability Section 3.2: Measures of Variability The mean and median are good statistics to employ when describing the center of a collection of data. However, there is more to a collection of data than just the center!

More information

Date Period Find the mode, median, mean, lower quartile, upper quartile, interquartile range, and population standard deviation for each data set.

Date Period Find the mode, median, mean, lower quartile, upper quartile, interquartile range, and population standard deviation for each data set. Algebra 2 ^ L2U0\1^6K EKVujtJaB us`ocfetawka]rge` FLYLCCk.B t iarlclv rrhipgohrtvsx qrbeyswedrdvpezdb. Statistics Notes Name Date Period Find the mode, median, mean, lower quartile, upper quartile, interquartile

More information

Lecture 16: Chapter 7, Section 2 Binomial Random Variables

Lecture 16: Chapter 7, Section 2 Binomial Random Variables Lecture 16: Chapter 7, Section 2 Binomial Random Variables!Definition!What if Events are Dependent?!Center, Spread, Shape of Counts, Proportions!Normal Approximation Cengage Learning Elementary Statistics:

More information

AP 11.1 Notes WEB.notebook March 25, 2014

AP 11.1 Notes WEB.notebook March 25, 2014 11.1 Chi Square Tests (Day 1) vocab *new seats* examples Objectives Comparing Observed & Expected Counts measurements of a categorical variable (ex/ color of M&Ms) Use Chi Square Goodness of Fit Test Must

More information

Name: Class: Date: (First Page) Name: Class: Date: (Subsequent Pages) 1. {Exercise 5.07}

Name: Class: Date: (First Page) Name: Class: Date: (Subsequent Pages) 1. {Exercise 5.07} Name: Class: Date: _ (First Page) Name: Class: Date: _ (Subsequent Pages) 1. {Exercise 5.07} The probability distribution for the random variable x follows. Excel File: data05 07.xls a. f(x) is greater

More information

Traffic safety developments in Poland

Traffic safety developments in Poland Traffic safety developments in Poland Siem Oppe D-2001-8 Traffic safety developments in Poland A research note D-2001-8 Siem Oppe Leidschendam, 2001 SWOV Institute for Road Safety Research, The Netherlands

More information

Aim: Normal Distribution and Bell Curve

Aim: Normal Distribution and Bell Curve Aim: Normal Distribution and Bell Curve HW: Complete (1-10) last 3 slides Do Now: If the variance of a set of data is 9, the standard deviation is: (1) 9 (2) 81 (3) 3 (4) 1 Normal Distribution and Bell

More information

Figure 1a. Top 1% income share: China vs USA vs France

Figure 1a. Top 1% income share: China vs USA vs France 22% 20% 18% 16% Figure 1a. Top 1% income share: China vs USA vs China USA 14% 12% 10% 8% 6% 4% 1978 1982 1986 1990 1994 1998 2002 2006 2010 2014 Distribution of pretax national income (before taxes and

More information

NCSS Statistical Software

NCSS Statistical Software Chapter 256 Introduction This procedure computes summary statistics and common non-parametric, single-sample runs tests for a series of n numeric, binary, or categorical data values. For numeric data,

More information

Math 1070 Sample Final Exam Spring 2016

Math 1070 Sample Final Exam Spring 2016 University of Connecticut Department of Mathematics Spring 2016 Name: Instructor Name: Section: Read This First! This is a closed notes, closed book exam. You cannot receive aid on this exam from anyone

More information

Lesson 14: Modeling Relationships with a Line

Lesson 14: Modeling Relationships with a Line Exploratory Activity: Line of Best Fit Revisited 1. Use the link http://illuminations.nctm.org/activity.aspx?id=4186 to explore how the line of best fit changes depending on your data set. A. Enter any

More information

Equivalent SDOF Systems to Simulate MDOF System Behavior

Equivalent SDOF Systems to Simulate MDOF System Behavior Equivalent SDOF Systems to Simulate MDOF System Behavior Erol Kalkan PEER-GMSM, Berkeley Aug- How to find equivalent SDOF systems via Pushover analysis: MDOF system seismic behavior can be approximated

More information

APPENDIX H LAKE OKEECHOBEE FLOOD ROUTINES

APPENDIX H LAKE OKEECHOBEE FLOOD ROUTINES 1 2 3 APPENDIX H LAKE OKEECHOBEE FLOOD ROUTINES 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 LAKE OKEECHOBEE FLOOD ROUTINGS

More information

a) List and define all assumptions for multiple OLS regression. These are all listed in section 6.5

a) List and define all assumptions for multiple OLS regression. These are all listed in section 6.5 Prof. C. M. Dalton ECN 209A Spring 2015 Practice Problems (After HW1, HW2, before HW3) CORRECTED VERSION Question 1. Draw and describe a relationship with heteroskedastic errors. Support your claim with

More information

Traffic Safety Facts 2007 Data

Traffic Safety Facts 2007 Data Traffic Safety Facts 2007 Data Bicyclists and Other Cyclists DOT HS 810 986 Bicyclists and other cyclists include riders of two-wheel nonmotorized vehicles, tricycles, and unicycles powered solely by pedals.

More information

In the actual exam, you will be given more space to work each problem, so work these problems on separate sheets.

In the actual exam, you will be given more space to work each problem, so work these problems on separate sheets. K300 Practice Exam 1 Note: This gives you an idea of the types of questions I ask. The length of the exam may differ. The questions are meant to be representative but not all-inclused (i.e. this is a sample

More information

STA 103: Midterm I. Print clearly on this exam. Only correct solutions that can be read will be given credit.

STA 103: Midterm I. Print clearly on this exam. Only correct solutions that can be read will be given credit. STA 103: Midterm I May 30, 2008 Name: } {{ } by writing my name i swear by the honor code Read all of the following information before starting the exam: Print clearly on this exam. Only correct solutions

More information

DS5 The Normal Distribution. Write down all you can remember about the mean, median, mode, and standard deviation.

DS5 The Normal Distribution. Write down all you can remember about the mean, median, mode, and standard deviation. DS5 The Normal Distribution Write down all you can remember about the mean, median, mode, and standard deviation. 1 DS5 The Normal Distribution Basic concepts: Describing and using Z scores calculated

More information

MEANS, MEDIANS and OUTLIERS

MEANS, MEDIANS and OUTLIERS ESSENTIAL MATHEMATICS 2 WEEK 3 NOTES AND EXERCISES MEANS, MEDIANS and OUTLIERS An outlier is a score much larger (or smaller) than others scores in the data set. Outliers can have a dramatic effect on

More information