National Curriculum Statement: Determine quartiles and interquartile range (ACMSP248).

Similar documents
3.3 - Measures of Position

0-13 Representing Data

Effective Use of Box Charts

Name Student Activity

Vapor Pressure of Liquids

Computational Analysis Task Casio ClassPad

Mac Software Manual for FITstep Pro Version 2

Unit 3 ~ Data about us

Practice Test Unit 6B/11A/11B: Probability and Logic

Hitting Your Marks on the Drag Strip

Practice Test Unit 06B 11A: Probability, Permutations and Combinations. Practice Test Unit 11B: Data Analysis

Age of Fans

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

CHAPTER 1 ORGANIZATION OF DATA SETS

Boyle s Law: Pressure-Volume Relationship in Gases

IGCSE - Cumulative Frequency Questions

Week 7 One-way ANOVA

Full file at

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

9.3 Histograms and Box Plots

Year 10 Term 2 Homework

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

Exemplar for Internal Achievement Standard. Mathematics and Statistics Level 1

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

MTB 02 Intermediate Minitab

Transpiration. DataQuest OBJECTIVES MATERIALS

Warm-up. Make a bar graph to display these data. What additional information do you need to make a pie chart?

Tutorial 6a Manual Digitisation

Boyle s Law: Pressure-Volume Relationship in Gases

Chromat Calibration Updated October 27th, 2017

Evaluation copy. Vapor Pressure of Liquids. computer OBJECTIVES MATERIALS

MEANS, MEDIANS and OUTLIERS

Solutionbank S1 Edexcel AS and A Level Modular Mathematics

How to Make, Interpret and Use a Simple Plot

Diver-Office. Getting Started Guide. 2007, Schlumberger Water Services

SENSUS PRO MANAGER (for SENSUS or SENSUS PRO devices) User s Guide -- Windows. Version 2.0 Published October 17, ReefNet Inc.

Vapor Pressure of Liquids

5.1. Data Displays Batter Up. My Notes ACTIVITY

Section 5 Critiquing Data Presentation - Teachers Notes

Gait Analyser. Description of Walking Performance

Lab 5: Descriptive Statistics

SCRATCH CHALLENGE #3

Software Manual for FITstep Pro Version 2

Fundamentals of Machine Learning for Predictive Data Analytics

Lab 13: Hydrostatic Force Dam It

Using the GHIN Handicap Allocation Utility with GHP Golfer

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?

Microsoft Windows Software Manual for FITstep Stream Version 4

The rate versus time can then be the subject of whatever calculation the user chooses, for example:

Two-Dimensional Motion and Vectors

Computer Scorekeeping Procedures

CONSOLE-320 ENGLISH. 230A: CONSOLE-320 with cable data output Item 230B: CONSOLE-320 with cable + wireless radio data output

1wsSMAM 319 Some Examples of Graphical Display of Data

Lesson 14: Modeling Relationships with a Line

Bivariate Data. Frequency Table Line Plot Box and Whisker Plot

The ICC Duckworth-Lewis Calculator. Professional Edition 2008

Statistical Studies: Analyzing Data III.B Student Activity Sheet 6: Analyzing Graphical Displays

Statistical Studies: Analyzing Data III.B Student Activity Sheet 6: Analyzing Graphical Displays

Air Ball! LabQuest Vernier Gas Pressure Sensor Vernier Motion Detector basketball stopper with needle, stopper stem and tubing attached meter stick

Combination Analysis Tutorial

Computer Scorekeeping Procedures Updated: 6/10/2015

League Manager Tutorial

WorkSHEET 13.3 Univariate data II Name:

Side Length, Perimeter, and Area of a Rectangle

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?

EXPERIMENT 12 GAS LAWS ( BOYLE S AND GAY-LUSSAC S LAW)

FOOTBALL WEST. Sports TG User Guide. Club Administrators

Warm-Up: Create a Boxplot.

Prerequisite skills: The students need have a basic understanding of scatter plots.

Computer Scorekeeping Procedures Page 1

SOLUBILITY OF A SOLID IN WATER

MEANS, MEDIANS and OUTLIERS

Objectives. Materials TI-73 CBL 2

UNIVERSITY OF CAMBRIDGE INTERNATIONAL EXAMINATIONS General Certificate of Education Ordinary Level

BASEBALL SALARIES: DO YOU GET WHAT YOU PAY FOR? Comparing two or more distributions by parallel box plots

Chapter 4 Displaying Quantitative Data

(Lab Interface BLM) Acceleration

SOLUBILITY OF A SOLID IN WATER

SWIM MEET MANAGER 5.0 NEW FEATURES

LABORATORY INVESTIGATION

Experiment AMe-1: Small Animal Respiratory Exchange Ratio (RER)

Experiment AMe-1: Small Animal Respiratory Exchange Ratio (RER)

Tutorial for the. Total Vertical Uncertainty Analysis Tool in NaviModel3

Sailwave Scoring Instructions for Thursday Night Races 2017

4.5 Scatter Plots and Trend Lines

Organizing Quantitative Data

GEN II Robot Soccer EV3 Compass Training Curriculum Brian Thomas

Online League Management lta.tournamentsoftware.com. User Manual. Further support is available online at

Box-and-Whisker Plots

v2.3 USER MANUAL

Integrated Sports Systems (ISS) Inc. Meet Management Suite

Tennis...32 Stay above...34 Decimal...36 Bundesliga simulator...38 Shooter management...41 Installation...43 Registration...45 Where do I get the

Pegas 4000 MF Gas Mixer InstructionManual Columbus Instruments

March Madness Basketball Tournament

Managing Timecard Exceptions

Technology. In the My Files [My Files] submenu you can store all the programs that you have made on the NXT or downloaded from your computer.

29 Pressure, Temperature relationship of a gas

Hare Today, Gone Tomorrow

ScoreKeeper tm. ~ Software for Golf ~ for Microsoft Windows 98 through Windows 7. User's Guide

The ICC Duckworth-Lewis-Stern calculator. DLS Edition 2016

Transcription:

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 FIFA World Cup in South Africa. National Curriculum Statement: Determine quartiles and interquartile range (ACMSP248). ScOT: Inter-quartile range Equipment For this activity you will need: TI-Nspire CAS TI-Nspire CAS file: FIFA World Cup 2010 Students can use digital technologies to compare various attributes of the participating teams in the 2010 FIFA World Cup. Problem Description The data consists of 32 teams and each team contains 23 players. Data includes country of origin, allocated group (A, B, C, D, E, F, G and H) player s position (forward, midfielder, defender and goalkeeper), weight in kilograms, height in centimetres and age in years. The data is contained in Lists & Spreadsheet page. Technology During this activity, students will need to use the TI-Nspire file: FIFA World Cup 2010. This file can be distributed using TI-Navigator, the TI-Nspire docking station or the teacher/student software. To distribute the file using the Teacher software, use the Tools menu and select the Transfer Tool. Locate the TI-Nspire file on your computer and then start the transfer. Once the file is transferred to the first handheld, unplug the handheld and continue plugging in each student s handheld device. Once all the students have the file, stop the transfer. Note that students can also transfer files from one handheld device to another from within the My Documents folder. Note also that multi-port USB connectors can be used to transfer files to several handhelds at the one time. Page 1 of 8

2 This activity requires access to the FIFA World Cup 2010 TI- Nspire document. This document should be loaded on your device before proceeding. Once the document is on your handheld, press home and select My Documents. Locate the FIFA World Cup 2010 document and press enter to open. Navigate to page 1.3 (shown opposite). Use the arrow keys to scroll across to view the column headings or down to view the data. Drawing a boxplot Step 1 Press home or ctrl + I and select Add Data & Statistics to insert a new page. All of the data points should appear on the screen. Page 2 of 8

3 Step 2 Press tab or use the mouse to highlight list of variables for the horizontal axis. Select age. A dot plot of the data will appear. Step 3 Press menu > Plot Type > Box Plot. A box plot of the data will appear. Page 3 of 8

4 Step 4 Move the cursor over the box plot to determine the five summary points. Q 1 minimum Q 1 lower quartile Q 2 median Q 3 upper quartile Q 5 maximum Drawing multiple boxplots Step 1 Press tab or use the mouse to display the variables for the vertical axis. Select group. Step 2 Multiple box plots for the groups will appear. To determine a median for a group, move the mouse and hover over the middle of the box for that group. For example group F has a median age of 28 years. Optional To display a box plot in colour on a CX, place the cursor over the box plot and press ctrl + menu > Color > Fill Color*. Select a colour from the palette. * On a Clickpad or Touchpad, this command provides a range of grey scale options to select from. Page 4 of 8

5 For the remainder of this activity, we will use coloured box plots. In black and white, these will appear in grey scale. To compare the weight for each group, select weight on the horizontal axis. To display the box plots vertically, change the vertical axis to age (or weight) and the horizontal axis to group. If the box plots don t automatically change, press menu > Plot Type > Box Plot again. Note There are six categories available in the Lists & Spreadsheet page 1.3. Three are numerical lists (height, weight and age) and three are categorical lists (position, team and group). To draw multiple box plots, select from the numerical list for one axis and select from the categorical list for the other axis. Page 5 of 8

6 Questions 1. Draw a boxplot which represents the weight of all footballers in the FIFA World Cup. a. What is the median weight? b. What is the interquartile range for the data? c. There are a number of outliers (shown as dots) in the data. Which position would you expect the heavier outliers to be (forwards, defenders, midfielders or goalkeepers)? a. 76 kg b. 80 72 = 8 kg c. Goalkeepers represent the outliers 2. Draw boxplots comparing the height of each group (choose group for the vertical axis and height for the horizontal axis). Colouring the box plots is optional. a. Which group has the highest median height? What is the highest median height? b. Which group has the lowest interquartile range? What is the IQR? c. Which group has the most outliers? How many outliers? a. Group d, 184 cm b. Group b, 186 180 = 6 cm c. Group b, 5 outliers One reason why this group has the highest median weight is due to two outliers from the Nigerian team (95 kg and 101 kg). Page 6 of 8

7 3. Draw boxplots comparing the weight and the positions (choose position for the vertical axis and weight for the horizontal). a. Which position (defender, forward, goalkeeper or midfielder) has the greatest median weight? What is the median weight? b. Which two positions appear to be evenly matched? c. Which position has the lowest interquartile range? What is the IQR? a. Goalkeeper, 83 kg b. Forwards and defenders c. Defenders, 80 73 = 7 kg Goalkeepers are generally heavier since they are taller than the average footballer. A tall goalkeeper is able to handle reach the high balls better than a short goalkeeper. 4. Draw boxplots comparing the ages and the positions of footballers (choose position for the vertical axis and age for the horizontal). a. Which position (forward, midfielder, defender or goalkeeper) has the highest median age? What is the median age? b. Which position has the lowest median age? What is the lowest median age? c. Which position has the greatest interquartile range? What is the IQR? d. Which positions appear to be similar in their distribution of ages? a. Goalkeepers, 28 years b. Midfielders and forwards, 26 years c. Goalkeepers, 31.5 25.5 = 6 years d. Defenders, forwards and midfielders Goalkeepers are older on average as their fitness requirements are not as demanding as outfield players and they can consequently last longer in their career choice. Page 7 of 8

8 5. Draw boxplots comparing the weights and the positions of footballers (choose position for the vertical axis and weight for the horizontal). a. Which position (forward, midfielder, defender or goalkeeper) has the highest median weight? What is the median weight? b. Which position has the lowest median weight? What is the lowest median weight? c. Which position has the lowest interquartile range? What is the IQR? d. Which positions appear similar in their distribution? a. Goalkeepers, 83 kg b. Midfielders, 73 kg c. Defenders, 80 73 = 7 kg d. Defenders and forwards are very similar in their distribution. Defenders range from 62 kg to 95 kg and forwards range from 60 kg to 94 kg. Goalkeepers are heavier in general since they are taller on average. Tall goalkeepers have an obvious advantage over shorter players, especially with high balls. 6. Draw boxplots comparing the ages of the players from each team (choose age for the vertical axis and team for the horizontal) a. Which team has the lowest median age? What is the lowest median age? b. Which team has the lowest interquartile range? What is the IQR? a. Ghana, 23 years b. Netherlands, 28 26 = 2 years Use the computer view for a less congested view of the teams. Page 8 of 8