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Unit 6 – Inference for Categorical Data: Proportions M&M Activity Name: Have you ever opened a bag of M&Ms and been surprised at the distribution of colors? We are going to investigate the different colors of M&Ms in a bag! Now, since I am not made of money, I can only afford for us to do a test based off of a fun-size pack. Now, you cannot EAT your candy!!! (right now...) Count the number of candies in your bag: _102 Fill in the chart with your information: Color Brown Red Yellow Orange Green Blue Count 14 11 10 37 11 19 Proportion Looking at your data, you are going to test each claimed color given below. (Don't worry, we are not breaking rules – we will use the class data in a moment to actually conduct the test O) Fill in the blank with <, >, or # based on what you found in your bag. Brown: Ho: p = 0.13 vs H,: p 0.13 Red: Ho: p = 0.13 vs H: p 0.13 Yellow: Ho: p = 0.20 vs H,: p 0.20 Orange: H,: p = 0.15 vs H,: p 0.15 Green: H,: p = 0.15 vs H,: p 0.15 Blue: H,: p = 0.24 vs H,: p 0.24

Unit 6 – Inference for Categorical Data: Proportions M&M Activity Name: Have you ever opened a bag of M&Ms and been surprised at the distribution of colors? We are going to investigate the different colors of M&Ms in a bag! Now, since I am not made of money, I can only afford for us to do a test based off of a fun-size pack. Now, you cannot EAT your candy!!! (right now...) Count the number of candies in your bag: _102 Fill in the chart with your information: Color Brown Red Yellow Orange Green Blue Count 14 11 10 37 11 19 Proportion Looking at your data, you are going to test each claimed color given below. (Don't worry, we are not breaking rules – we will use the class data in a moment to actually conduct the test O) Fill in the blank with <, >, or # based on what you found in your bag. Brown: Ho: p = 0.13 vs H,: p 0.13 Red: Ho: p = 0.13 vs H: p 0.13 Yellow: Ho: p = 0.20 vs H,: p 0.20 Orange: H,: p = 0.15 vs H,: p 0.15 Green: H,: p = 0.15 vs H,: p 0.15 Blue: H,: p = 0.24 vs H,: p 0.24

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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What’s the proportion
Unit 6 – Inference for Categorical Data: Proportions M&M Activity Name: Have you ever opened a bag of M&Ms and been surprised at the distribution of colors? We are going to investigate the different colors of M&Ms in a bag! Now, since I am not made of money, I can only afford for us to do a test based off of a fun-size pack. Now, you cannot EAT your candy!!! (right now...) Count the number of candies in your bag: _102 Fill in the chart with your information: Color Brown Red Yellow Orange Green Blue Count 14 11 10 37 11 19 Proportion Looking at your data, you are going to test each claimed color given below. (Don't worry, we are not breaking rules – we will use the class data in a moment to actually conduct the test ©) Fill in the blank with <, >, or # based on what you found in your bag. Brown: Ho: p = 0.13 vs H,: p 0.13 Red: Ho: p = 0.13 vs H: p 0.13 Yellow: Ho: p = 0.20 vs H,: p 0.20 Orange: H,: p = 0.15 vs H,: p 0.15 Green: H,: p = 0.15 vs H,: p 0.15 Blue: H,: p = 0.24 vs H,: p 0.24
Transcribed Image Text:Unit 6 – Inference for Categorical Data: Proportions M&M Activity Name: Have you ever opened a bag of M&Ms and been surprised at the distribution of colors? We are going to investigate the different colors of M&Ms in a bag! Now, since I am not made of money, I can only afford for us to do a test based off of a fun-size pack. Now, you cannot EAT your candy!!! (right now...) Count the number of candies in your bag: _102 Fill in the chart with your information: Color Brown Red Yellow Orange Green Blue Count 14 11 10 37 11 19 Proportion Looking at your data, you are going to test each claimed color given below. (Don't worry, we are not breaking rules – we will use the class data in a moment to actually conduct the test ©) Fill in the blank with <, >, or # based on what you found in your bag. Brown: Ho: p = 0.13 vs H,: p 0.13 Red: Ho: p = 0.13 vs H: p 0.13 Yellow: Ho: p = 0.20 vs H,: p 0.20 Orange: H,: p = 0.15 vs H,: p 0.15 Green: H,: p = 0.15 vs H,: p 0.15 Blue: H,: p = 0.24 vs H,: p 0.24
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