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Color Brown Red Yellow Orange Green Blue Count 15 14 30 19 11 12 Proportion 0.12 0.15 0.14 0.30 0.19 0.11 Perform cach significance test on the next page using a- 0.10. Brown Red: Yellow St H p- 0.13 vs H.: p< 0.13 H p-0.13 vs H.: p > 0.13 He p- 0.20 vs H,: p< 0.20 a Ip-0.12 p-0.15 p-0.14 Random - Random - Random- Independent - Independent - Independent- PI Large Counts- Large Counts - Large Counts- Test Statistic - Test Statistic - Test Statistic = Do P-value P-value - P.value = Co e Orange: Green: Blue: St H p- 0.15 vs H. p 0.15 H: p-0.15 vs H. p 0.15 H. p- 0.24 vs H: p_0.24 a e Random - Random- Random - Random - Independent - PI Independent - Independent- a Large Counts- Large Counts Large Counts

Color Brown Red Yellow Orange Green Blue Count 15 14 30 19 11 12 Proportion 0.12 0.15 0.14 0.30 0.19 0.11 Perform cach significance test on the next page using a- 0.10. Brown Red: Yellow St H p- 0.13 vs H.: p< 0.13 H p-0.13 vs H.: p > 0.13 He p- 0.20 vs H,: p< 0.20 a Ip-0.12 p-0.15 p-0.14 Random - Random - Random- Independent - Independent - Independent- PI Large Counts- Large Counts - Large Counts- Test Statistic - Test Statistic - Test Statistic = Do P-value P-value - P.value = Co e Orange: Green: Blue: St H p- 0.15 vs H. p 0.15 H: p-0.15 vs H. p 0.15 H. p- 0.24 vs H: p_0.24 a e Random - Random- Random - Random - Independent - PI Independent - Independent- a Large Counts- Large Counts Large Counts

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 32E
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Color Brown Red Yellow Orange Green Blue Count 15 14 30 19 11 12 Proportion 0.12 0.15 0.14 0.30 0.19 0.11 Perform each significance test on the next page using a = 0.10. Brown Red: Yellow: St H p= 0.13 vs H.: p<0.13 H p= 0.13 vs H,: p> 0.13 H p= 0.20 vs H,: p< 0.20 a p-0.12 p-0.15 p- 0.14 e Random - Random Random - Independent – Independent Independent- PI Large Counts - Large Counts - Large Counts - Test Statistic - Test Statistic = Test Statistic = Do P-value - P-value - P-value - Со u d e Orange: Green: Blue: St H p-0.15 vs H.: p_0.15 H: p- 0.15 vs H,: p_0.15 H: p-0.24 vs H.: p__0.24 p= p= Random - Random Random Independent - Independent – Independent - PI a n Large Counts - Large Counts Large Counts -
Transcribed Image Text:Color Brown Red Yellow Orange Green Blue Count 15 14 30 19 11 12 Proportion 0.12 0.15 0.14 0.30 0.19 0.11 Perform each significance test on the next page using a = 0.10. Brown Red: Yellow: St H p= 0.13 vs H.: p<0.13 H p= 0.13 vs H,: p> 0.13 H p= 0.20 vs H,: p< 0.20 a p-0.12 p-0.15 p- 0.14 e Random - Random Random - Independent – Independent Independent- PI Large Counts - Large Counts - Large Counts - Test Statistic - Test Statistic = Test Statistic = Do P-value - P-value - P-value - Со u d e Orange: Green: Blue: St H p-0.15 vs H.: p_0.15 H: p- 0.15 vs H,: p_0.15 H: p-0.24 vs H.: p__0.24 p= p= Random - Random Random Independent - Independent – Independent - PI a n Large Counts - Large Counts Large Counts -
1 of 3 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 0.14 0.11 0.10 0.36 0.11 0.19 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 0) Fill in the blank with <. >, or * based on what you found in your bag. Brown: H.: p = 0.13 vs H,: p> 0.13 Red: H p-0.13 vs H.: p< 0.13 Yellow: H: 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 Compile the data from the rest of the class: Color Brown Red Yellow Orange Green Blue Count 15 14 30 19 11 12 Proportion 0.12 0.15 0.14 0.30 0.19 0.11 Perform each significance test on the next page using a - 0.10. Brown Red: Yellow: He p- 0.13 vs H,: p< 0.13 H p- 0.13 vs H.:p > 0.13 H p- 0.20 vs H.: p< 0.20 St a p= 0.12 p=0.15 p=0.14 e Random - Random – Random - Independent - Independent - Independent- PI a Large Counts - Large Counts – Large Counts - Test Statistic Test Statistic- Test Statistic
Transcribed Image Text:1 of 3 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 0.14 0.11 0.10 0.36 0.11 0.19 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 0) Fill in the blank with <. >, or * based on what you found in your bag. Brown: H.: p = 0.13 vs H,: p> 0.13 Red: H p-0.13 vs H.: p< 0.13 Yellow: H: 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 Compile the data from the rest of the class: Color Brown Red Yellow Orange Green Blue Count 15 14 30 19 11 12 Proportion 0.12 0.15 0.14 0.30 0.19 0.11 Perform each significance test on the next page using a - 0.10. Brown Red: Yellow: He p- 0.13 vs H,: p< 0.13 H p- 0.13 vs H.:p > 0.13 H p- 0.20 vs H.: p< 0.20 St a p= 0.12 p=0.15 p=0.14 e Random - Random – Random - Independent - Independent - Independent- PI a Large Counts - Large Counts – Large Counts - Test Statistic Test Statistic- Test Statistic
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