Computational Analysis Task Casio ClassPad
|
|
|
- Buck Garrison
- 5 years ago
- Views:
Transcription
1 Computational Analysis Task Casio ClassPad The organisers of a surf contest examine two Victorian beaches as proposed venues for the contest. Each day, for two weeks, the organisers record the height of the surf (in metres). Their measurements are shown below: Bell s Beach: Cape Woolamai: The Statistical Analysis Task: Your task, now, will be to complete a computational statistical analysis of the above data and compare this analysis to one done manually. You will then analyse the data and make conclusions regarding its significance. The standard approach of analysing data sets such as these is to actually complete a number of different techniques including one called the five number summary. Each technique basically calculates an average using different types of computer algorithms. The algorithms themselves will look at: The Mean The Median The Mode The five number summary itself looks at: The Minimum Value The 3 rd Quartile The Median The 1 st Quartile and The Maximum Value Refresher notes and instructions on how to computationally perform the statistical analysis can be found in the background reading section. 1
2 Analysis of the Data: Aim: (a) To analyse meteorological data to determine which beach has optimum surf conditions for a surf carnival. (b) To demonstrate how advances in computational power has enabled us to analyse data more quickly and efficiently. Analysis of Surf Data: Part A: You are required to electronically time yourself, as you analyse the following data using a scientific calculator. You might consider using the Statistical Analysis Reference sheet if required. 1. Order the Bell s Beach data from smallest to largest: 2. Calculate the Bell s Beach Mean wave height: 3. Determine the Bell s Beach Median wave height: 4. Calculate the Range of the Bell s Beach surf data: 5. Calculate the Interquartile Range (IQR) of the Bell s Beach surf data: 6. Order the Cape Woolamai data from smallest to largest: 7. Calculate the Cape Woolamai Mean wave height: 2
3 8. Determine the Cape Woolamai Median wave height: 9. Calculate the Range of the Cape Woolamai surf data: 10. Calculate the Interquartile Range (IQR) of the Cape Woolamai surf data: Part B: You are now required to electronically time yourself, as you analyse the following data using CAS technology. You might consider using the CAS Technology for Statistical Analysis reference sheet if required. 1. On the Statistics page, label list 1 as Bell s and list 2 as Woolamai. Enter the corresponding values for each beach as shown in the table. Press Enter after entering each data value into the CAS calculator. 2. To find the mean and five number summary of each data set, tap: Calc Two-variable. Set values as: XList: main\bell s YList: main\woolamai Freq: 1 Tap OK The x -values relate to Bell s Beach and the y-values to Cape Woolamai. Scroll down to see all the statistics. 3. Use the summary statistical results from columns E and F to answer the questions below. Column E represents Bell s Beach and Column F represents Cape Woolamai. Questions 1. What is the mean Bell s Beach wave height? 3
4 2. What is the median Bell s Beach wave height? 3. Calculate the Range of the Bell s Beach surf data: 4. Calculate the Interquartile Range (IQR) of the Bell s Beach surf data: 5. What is the mean Cape Woolamai wave height? 6. What is the median Cape Woolamai wave height? 7. Calculate the Range of the Cape Woolamai surf data: 8. Calculate the Interquartile Range (IQR) of the Cape Woolamai surf data: 9. The surf contest organisers would like the greatest height possible. However, a minimum height of 1.2 metres is required for the surf contest to run. Which beach would you recommend? 4
5 Reflection of Data Analysis Activity: In the final part of this task, you will be required to reflect on how advances in computational processing has allowed for two significant ramifications: a) the increase in the amount of data being able to be processed as well as b) the decrease in time taken to actually analyse the data. To assist you in the planning of your reflection, you will need to complete the below advanced organiser to compare/contrast the two methods used to analyse the data from the task just undertaken. Advances in Computer Processing Reflection 5
6 6
WorkSHEET 13.3 Univariate data II Name:
WorkSHEET 13.3 Univariate data II Name: 1 The back-to-back stem-and-leaf plot shows the number of people (to the nearest thousand) that attend cricket matches in both Sydney and Melbourne during a season.
The Five Magic Numbers
The Five Magic Numbers Objective: Students will review the five numbers needed to construct a box and whisker plot. Students will also answer questions using a box and whisker plot they created. Background
Age of Fans
Measures of Central Tendency SUGGESTED LEARNING STRATEGIES: Activating Prior Knowledge, Interactive Word Wall, Marking the Text, Summarize/Paraphrase/Retell, Think/Pair/Share Matthew is a student reporter
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
National Curriculum Statement: Determine quartiles and interquartile range (ACMSP248).
Teacher Notes 7 8 9 10 11 12 Aim TI-Nspire CAS Investigation Student 90min To compare the height, weight, age and field positions of all football players from the 32 teams which participated in the 2010
Bivariate Data. Frequency Table Line Plot Box and Whisker Plot
U04 D02 Univariate Data Frequency Table Line Plot Box and Whisker Plot Univariate Data Bivariate Data involving a single variable does not deal with causes or relationships the major purpose of univariate
Algebra 1 Unit 7 Day 2 DP Box and Whisker Plots.notebook April 10, Algebra I 04/10/18 Aim: How Do We Create Box and Whisker Plots?
Algebra I 04/10/18 Aim: How Do We Create Box and Whisker Plots? DO NOW 1) Find the mean, median, and mode of the data below 2) Which measure of central tendency do you believe best represents the data?
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,
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
Organizing Quantitative Data
Organizing Quantitative Data MATH 130, Elements of Statistics I J. Robert Buchanan Department of Mathematics Fall 2018 Objectives At the end of this lesson we will be able to: organize discrete data in
Tying Knots. Approximate time: 1-2 days depending on time spent on calculator instructions.
Tying Knots Objective: Students will find a linear model to fit data. Students will compare and interpret different slopes and intercepts in a context. Students will discuss domain and range: as discrete
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
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
BASEBALL SALARIES: DO YOU GET WHAT YOU PAY FOR? Comparing two or more distributions by parallel box plots
Name BASEBALL SALARIES: DO YOU GET WHAT YOU PAY FOR? Comparing two or more distributions by parallel box plots The American League East had three excellent teams in the years 2008 2010. Here are the combined
Unit 3 ~ Data about us
Unit 3 ~ Data about us Investigation 3: Data Sets & Displays I can construct, interpret, and compare data sets and displays. I can find, interpret, and compare measures of center and variation for data
Box-and-Whisker Plots
Lesson 75 Objectives Calculate quartile values for a data set Create a box-and-whisker plot Quartiles and Box-and-Whisker Plots Richard recorded the number of people that attended his team s minor league
0-13 Representing Data
1. SURVEYS Alana surveyed several students to find the number of hours of sleep they typically get each night. The results are shown in the table. Make a bar graph of the data. Draw a histogram to represent
Practice Test Unit 6B/11A/11B: Probability and Logic
Note to CCSD Pre-Algebra Teachers: 3 rd quarter benchmarks begin with the last 2 sections of Chapter 6, and then address Chapter 11 benchmarks; logic concepts are also included. We have combined probability
Data Analysis Homework
Data Analysis Homework Multiple Choice Identify the choice that best completes the statement or answers the question. 1. The number of calls responded to by a paramedic team over an 8-day period are given.
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
Practice Test Unit 06B 11A: Probability, Permutations and Combinations. Practice Test Unit 11B: Data Analysis
Note to CCSD HS Pre-Algebra Teachers: 3 rd quarter benchmarks begin with the last 2 sections of Chapter 6 (probability, which we will refer to as 6B), and then address Chapter 11 benchmarks (which will
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
Statistics Class 3. Jan 30, 2012
Statistics Class 3 Jan 30, 2012 Group Quiz 2 1. The Statistical Abstract of the United States includes the average per capita income for each of the 50 states. When those 50 values are added, then divided
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!
Year 10 Term 2 Homework
Yimin Math Centre Year 10 Term 2 Homework Student Name: Grade: Date: Score: Table of contents 6 Year 10 Term 2 Week 6 Homework 1 6.1 Data analysis and evaluation............................... 1 6.1.1
5.1. Data Displays Batter Up. My Notes ACTIVITY
SUGGESTED LEARNING STRATEGIES: Activating Prior Knowledge, Marking the Text, Group Presentation, Interactive Word Wall Henry Hank Aaron and Harmon Killebrew are among the alltime leaders in home runs in
Fun with M&M s. By: Cassandra Gucciardo. Sorting
Fun with M&M s Sorting Fractions Objectives: The students will be able to review the measures of central tendency by determining mean, median, mode and range. They will review their understanding of estimation,
Diameter in cm. Bubble Number. Bubble Number Diameter in cm
Bubble lab Data Sheet Blow bubbles and measure the diameter to the nearest whole centimeter. Record in the tables below. Try to blow different sized bubbles. Name: Bubble Number Diameter in cm Bubble Number
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,
save percentages? (Name) (University)
1 IB Maths Essay: What is the correlation between the height of football players and their save percentages? (Name) (University) Table of Contents Raw Data for Analysis...3 Table 1: Raw Data...3 Rationale
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
Regents Style Box & Whisker Plot Problems
Name: ate: 1. Robin collected data on the number of hours she watched television on Sunday through Thursday nights for a period of 3 weeks. The data are shown in the table below. Sun Mon Tues Wed Thurs
Statistical Measures
Statistical Measures Question Paper 2 Level IGCSE Subject Maths Exam Board Edexcel Topic Handling Data Statistics Sub Topic Statistical Measures(Mean, Median, Mode) Booklet Question Paper 2 Time Allowed:
Algebra 1 Unit 6 Study Guide
Name: Period: Date: Use this data to answer questions #1. The grades for the last algebra test were: 12, 48, 55, 57, 60, 61, 65, 65, 68, 71, 74, 74, 74, 80, 81, 81, 87, 92, 93 1a. Find the 5 number summary
Sharing practice: OEM prescribed maintenance. Peter Kohler / Andy Webb
Sharing practice: OEM prescribed maintenance Peter Kohler / Andy Webb Overview 1. OEM introduction 2. OEM maintenance: pros and cons 3. OEM maintenance: key message 4. Tools to help 5. Example 6. Takeaway
Box-and-Whisker Plots
Practice A Box-and-Whisker Plots 1. Use the data to make a box-and-whisker plot. 24, 32, 35, 18, 20, 36, 12 The box-and-whisker plot shows the test scores of two students. Use the box-and whisker plot
March Madness Basketball Tournament
March Madness Basketball Tournament Math Project COMMON Core Aligned Decimals, Fractions, Percents, Probability, Rates, Algebra, Word Problems, and more! To Use: -Print out all the worksheets. -Introduce
The National. Drowning Report M 7 F 2 M 11 F 3 M 0 M 45 F 14 F 4 M 69 F 24 M 31 F 0
The National 08 Drowning Report NT M 7 F 2 WA M 30 F 4 SA M 11 F 3 QLD M 45 F 14 NSW M 69 F 24 M - Male (204) F - Female (57) ACT M 0 F 0 VIC M 31 F 10 TAS M 11 F 0 Drowning deaths in 2007/2008 There were
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
What Makes a Track Fast?
Tracks on the NASCAR circuit are measured using multiple attributes. Statistics can range from length of track, banking degrees in curves, average speed of laps, width of lanes, to many other features.
Warm-Up: Create a Boxplot.
Warm-Up: Create a Boxplot. 2 Warm - UP 1. 2. Find the mean. 3. Find the standard deviation for the set { 54, 59, 35, 41, 22} Warm - UP How many hours do you spend watching TV or surfing the net each
March Madness Basketball Tournament
March Madness Basketball Tournament Math Project COMMON Core Aligned Decimals, Fractions, Percents, Probability, Rates, Algebra, Word Problems, and more! To Use: -Print out all the worksheets. -Introduce
UNIVERSITY OF CAMBRIDGE INTERNATIONAL EXAMINATIONS General Certificate of Education Ordinary Level
UNIVERSITY OF CAMBRIDGE INTERNATIONAL EXAMINATIONS General Certificate of Education Ordinary Level *3373524824* STATISTICS 4040/23 Paper 2 October/November 2013 Candidates answer on the question paper.
STT 315 Section /19/2014
Name: PID: A STT 315 Section 101 05/19/2014 Quiz 1A 50 minutes 1. A survey by an electric company contains questions on the following: Age of household head, Gender of household head and use of electric
Cover Page for Lab Report Group Portion. Pump Performance
Cover Page for Lab Report Group Portion Pump Performance Prepared by Professor J. M. Cimbala, Penn State University Latest revision: 02 March 2012 Name 1: Name 2: Name 3: [Name 4: ] Date: Section number:
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
Warm-up. Make a bar graph to display these data. What additional information do you need to make a pie chart?
Warm-up The number of deaths among persons aged 15 to 24 years in the United States in 1997 due to the seven leading causes of death for this age group were accidents, 12,958; homicide, 5,793; suicide,
NCAA March Madness Statistics 2018
NCAA March Madness Statistics 2018 NAME HOUR 111-120 101-110 91-100 81-90 71-80 61-70 51-60 41-50 31-40 21-30 11-20 1-10 March Madness Activity 1 Directions: Choose a college basketball team in the March
Exemplar for Internal Achievement Standard. Mathematics and Statistics Level 1
Exemplar for Internal Achievement Standard Mathematics and Statistics Level 1 This exemplar supports assessment against: Achievement Standard Investigate a given multivariate data set using the statistical
APPROACH S10. Owner s Manual
APPROACH S10 Owner s Manual 2018 Garmin Ltd. or its subsidiaries All rights reserved. Under the copyright laws, this manual may not be copied, in whole or in part, without the written consent of Garmin.
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,
A IMPROVED VOGEL S APPROXIMATIO METHOD FOR THE TRA SPORTATIO PROBLEM. Serdar Korukoğlu 1 and Serkan Ballı 2.
Mathematical and Computational Applications, Vol. 16, No. 2, pp. 370-381, 2011. Association for Scientific Research A IMPROVED VOGEL S APPROXIMATIO METHOD FOR THE TRA SPORTATIO PROBLEM Serdar Korukoğlu
46 Chapter 8 Statistics: An Introduction
46 Chapter 8 Statistics: An Introduction Activity 5 Continued Box 4 1. The median is 6. The mode is 5. The mean is about 7 (6.8). 2. The median and the mode were unchanged, but the mean increased significantly.
That pesky golf game and the dreaded stats class
That pesky golf game and the dreaded stats class Marsha Jance Indiana University East A case study that involves golf and statistics is presented. This case study focuses on descriptive statistics and
Circular. Title: Nipper Program and Requirements for 2017/18 Date: 23 August 2017 Document ID: 19, 2017/18
Circular Title: Nipper Program and Requirements for 2017/18 Date: 23 August 2017 Document ID: 19, 2017/18 Department: From: Audience: Summary: Action: Sport and Development David Somers, Sport and Development
WHAT CAN WE LEARN FROM COMPETITION ANALYSIS AT THE 1999 PAN PACIFIC SWIMMING CHAMPIONSHIPS?
WHAT CAN WE LEARN FROM COMPETITION ANALYSIS AT THE 1999 PAN PACIFIC SWIMMING CHAMPIONSHIPS? Bruce Mason and Jodi Cossor Biomechanics Department, Australian Institute of Sport, Canberra, Australia An analysis
McKnight Hockey Association
McKnight Hockey Association Electronic Evaluation Tool Manual 2013-2014 Table of Contents Introduction...3 Evaluation Tool...3 Login to OneClickIce...3 Evaluations...4 PROCESS...4 Evaluation Procedure...5
Dobbin Day - User Guide
Dobbin Day - User Guide Introduction Dobbin Day is an in running performance form analysis tool. A runner s in-running performance is solely based on the price difference between its BSP (Betfair Starting
Bungee Bonanza. Level 1
Bungee Bonanza The problem Level 1 You have recently been employed by the company Bungee Bonanza. A key part of your role is to adjust the height of the bungee jumping platform based on the mass of each
Circular 049:04:10. To: Club Presidents Club Secretaries. Cc: Paula Butler General Manager, Lifesaving Club Development. From: Date: 29 April 2010
Circular 049:04:10 To: Club Presidents Club Secretaries Cc: From: Paula Butler General Manager, Lifesaving Club Development Date: 29 April 2010 Subject: 2010 SLSA Leaders Conference Action: Submit application
Statistical Studies: Analyzing Data III.B Student Activity Sheet 6: Analyzing Graphical Displays
The Phoenix Mercury of the Women s National Basketball League had 14 players on the roster for the 2008 season. The players and their average points per game (PPG) are shown below. Player Diana Taurasi
Statistical Studies: Analyzing Data III.B Student Activity Sheet 6: Analyzing Graphical Displays
The Phoenix Mercury of the Women s National Basketball League had 14 players on the roster for the 2008 season. The players and their average points per game (PPG) are shown below. Player Diana Taurasi
Activity 8: Cave Surfing Game
Activity 8: Cave Surfing Game CS First Scratch Game Design Video 1: Side Scrolling Games and If-Else Statements 1. Open the starter project on the CS First page. 2. Remix the project. 3. Sign in to Scratch.
Global Physical Activity Questionnaire (GPAQ)
Global Physical Activity Questionnaire (GPAQ) Department of Chronic Diseases and Health Promotion Surveillance and Population-Based Prevention World Health Organization 20 Avenue Appia, 1211 Geneva 27,
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
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
Name Student Activity
Open the TI-Nspire document Boyles_Law.tns. In this activity, you will use a Gas Pressure Sensor to measure the pressure of an air sample inside a syringe. Using graphs, you will apply your results to
Point Lonsdale Surf Life Saving Club Strategic Plan. Towards 2020
Point Lonsdale Surf Life Saving Club Strategic Plan Towards 2020 The approaching end of our current 10 year Strategic Overview, together with the celebration of our 70th year has initiated the development
Lab 5: Descriptive Statistics
Page 1 Technical Math II Lab 5: Descriptive Stats Lab 5: Descriptive Statistics Purpose: To gain experience in the descriptive statistical analysis of a large (173 scores) data set. You should do most
Effective Use of Box Charts
Effective Use of Box Charts Purpose This tool provides guidelines and tips on how to effectively use box charts to communicate research findings. Format This tool provides guidance on box charts and their
GSA POLICY ON LOCAL EXHAUST AND OTHER VENTILATION (FUME CUPBOARDS)
GSA POLICY ON LOCAL EXHAUST AND OTHER VENTILATION (FUME CUPBOARDS) Local Exhaust Ventilation Inspection & Maintenance 1 LOCAL EXHAUST AND OTHER VENTILATION Contents 1. Introduction 2. Design specifications
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
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
Cambridge International Examinations Cambridge International General Certificate of Secondary Education
Cambridge International Examinations Cambridge International General Certificate of Secondary Education *6519612675* MATHEMATICS 0580/32 Paper 3 (Core) February/March 2018 Candidates answer on the Question
Lake Michigan Wind Assessment Project Data Summary and Analysis: October 2012
Grand Valley State University ScholarWorks@GVSU Monthly Buoy Report Offshore Wind Project 1-1- Lake Michigan Wind Assessment Project Data Summary and Analysis: October Lake Michigan Offshore Wind Assessment
Boyle s Law. Pressure-Volume Relationship in Gases. Figure 1
Boyle s Law Pressure-Volume Relationship in Gases The primary objective of this experiment is to determine the relationship between the pressure and volume of a confined gas. The gas we use will be air,
PUV Wave Directional Spectra How PUV Wave Analysis Works
PUV Wave Directional Spectra How PUV Wave Analysis Works Introduction The PUV method works by comparing velocity and pressure time series. Figure 1 shows that pressure and velocity (in the direction of
RELATIVE PLACEMENT SCORING SYSTEM
RELATIVE PLACEMENT SCORING SYSTEM Introduction. The Relative Placement Scoring system has been devised to provide a fair and accurate method of evaluating the subjective opinions of judges scoring a dance
Crew Transfer Vessel (CTV) Performance Benchmarking. Presented by Stephen Phillips of Seaspeed Marine Consulting Ltd
Crew Transfer Vessel (CTV) Performance Benchmarking Presented by Stephen Phillips of Seaspeed Marine Consulting Ltd BACKGROUND - CT OWA : The Carbon Trust Offshore Wind Accelerator (OWA) brings together
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
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
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
KISSsoft 03/2016 Tutorial 9
KISSsoft 03/2016 Tutorial 9 Cylindrical Gear Fine Sizing KISSsoft AG Rosengartenstrasse 4 8608 Bubikon Switzerland Phone: +41 55 254 20 50 Fax: +41 55 254 20 51 info@kisssoft.ag www.kisssoft.ag Table of
1 of 18 4/22/2014 4:08 PM Name: 8.8, 8.2, 8.8, 8.6, 8.6, 8.8, 8.4, 8.9, 8.9 93, 87, 78, 96, 78, 81, 75, 94, 83, 88 6.5, 6.8, 6.8, 6.7, 6.4, 6.7 9.8, 9.8, 9.8, 9.1, 9.1, 9.2, 9.9 2 of 18 4/22/2014 4:08
MVSU NCLB 2016 Summer Reading Institute Lesson Plan Template. Name Angela Roberson
Name Angela Roberson Name of Unit The Greatest Game Ever Played Day 1 Grade Level 6 th Understand that a set of data collected to answer a statistical question has a distribution which can be described
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.
Proudly supported by
Proudly supported by The Awards of Excellence recognises outstanding achievements and contributions in all aspects of Surf Life Saving. The awards will celebrate the accomplishments of members and clubs
Well, Well, Well. BACKGROUND Seasonal upwelling is a very important process in the coastal ocean of the Pacific Northwest.
Well, Well, Well SUMMARY In this activity students investigate the relationship between winds, surface currents, sea surface temperature and upwelling and downwelling off the coast of OR and WA. Students
The Race Director. Race Director Go [RACE DIRECTOR GO] This document describes the implementation of Race Director Go with a beginning to end example.
![The Race Director. Race Director Go [RACE DIRECTOR GO] This document describes the implementation of Race Director Go with a beginning to end example.](/thumbs/80/81747710.jpg "The Race Director. Race Director Go [RACE DIRECTOR GO] This document describes the implementation of Race Director Go with a beginning to end example.")
2018 The Race Director [RACE DIRECTOR GO] This document describes the implementation of with a beginning to end example. Contents Intro... 3 1 Setup... 3 Combining Race Director Divisions... 3 Creating
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
Lecture 22: Multiple Regression (Ordinary Least Squares -- OLS)
Statistics 22_multiple_regression.pdf Michael Hallstone, Ph.D. hallston@hawaii.edu Lecture 22: Multiple Regression (Ordinary Least Squares -- OLS) Some Common Sense Assumptions for Multiple Regression
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
CHAPTER 1 ORGANIZATION OF DATA SETS
CHAPTER 1 ORGANIZATION OF DATA SETS When you collect data, it comes to you in more or less a random fashion and unorganized. For example, what if you gave a 35 item test to a class of 50 students and collect
Assignment. To New Heights! Variance in Subjective and Random Samples. Use the table to answer Questions 2 through 7.
Assignment Assignment for Lesson.1 Name Date To New Heights! Variance in Subjective and Random Samples 1. Suppose that you have collected data for the weights of all of the crates in a warehouse. a. Give
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
WALKING. Sport & Active Recreation Profile FINDINGS FROM THE 2013/14 ACTIVE NEW ZEALAND SURVEY ACTIVE NEW ZEALAND SURVEY SERIES.
ACTIVE NEW ZEALAND SURVEY SERIES Te Rangahau Korikori o Aotearoa Sport & Active Recreation Profile WALKING FINDINGS FROM THE 213/14 ACTIVE NEW ZEALAND SURVEY www.sportnz.org.nz Introduction Content This
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
The Intrinsic Value of a Batted Ball Technical Details
The Intrinsic Value of a Batted Ball Technical Details Glenn Healey, EECS Department University of California, Irvine, CA 9617 Given a set of observed batted balls and their outcomes, we develop a method
Site: London Bridge. Some further information about London Bridge can be found at the Parks Victoria website
Site: London Bridge About London Bridge London Bridge is located at the Portsea Back Beach which is approximately 3 kilometres south of Portsea. This site provides students with excellent examples of coastal
2600T Series Pressure Transmitters Plugged Impulse Line Detection Diagnostic. Pressure Measurement Engineered solutions for all applications
Application Description AG/266PILD-EN Rev. C 2600T Series Pressure Transmitters Plugged Impulse Line Detection Diagnostic Pressure Measurement Engineered solutions for all applications Increase plant productivity