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Does 10K running time change when the runner listens to music? Nine runners were timed as they ran a 10 with and without listening to music. The running times in minutes are shown below. Running Time 45 51 48 41 46 41 52 50 51 Without Music 55 56 61 41 50 50 61 48 54 Assume a Normal distribution. What can be concluded at the the ax = 0.10 level of significance? For this study, we should use t-test for the difference between two dependent population means a. The null and alternative hypotheses would be: Houd H₁: ud b. The test statistic With Music c. The p-value = d. The p-value is [ α 0 e. Based on this, we should reject 0 (please enter a decimal) (Please enter a decimal) (please show your answer to 3 decimal places.) (Please show your answer to 4 decimal places.) ✓the null hypothesis.

Does 10K running time change when the runner listens to music? Nine runners were timed as they ran a 10 with and without listening to music. The running times in minutes are shown below. Running Time 45 51 48 41 46 41 52 50 51 Without Music 55 56 61 41 50 50 61 48 54 Assume a Normal distribution. What can be concluded at the the ax = 0.10 level of significance? For this study, we should use t-test for the difference between two dependent population means a. The null and alternative hypotheses would be: Houd H₁: ud b. The test statistic With Music c. The p-value = d. The p-value is [ α 0 e. Based on this, we should reject 0 (please enter a decimal) (Please enter a decimal) (please show your answer to 3 decimal places.) (Please show your answer to 4 decimal places.) ✓the null hypothesis.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 3CYU
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need b and c please

Does 10K running time change when the runner listens to music? Nine runners were timed as they ran a 10K with and without listening to music. The running times in minutes are shown below. Running Time 45 51 48 41 46 41 52 50 51 Without 55 56 61 41 50 50 61 48 54 Music Assume a Normal distribution. What can be concluded at the the x = 0.10 level of significance? For this study, we should use t-test for the difference between two dependent population means Ho: ud 8 8 8 H₁: ud o a. The null and alternative hypotheses would be: 8 8 With Music b. The test statistic c. The p-value = d. The p-value is a = 0 e. Based on this, we should reject 0 (please enter a decimal) (Please enter a decimal) (please show your answer to 3 decimal places.) (Please show your answer to 4 decimal places.) the null hypothesis.
Transcribed Image Text:Does 10K running time change when the runner listens to music? Nine runners were timed as they ran a 10K with and without listening to music. The running times in minutes are shown below. Running Time 45 51 48 41 46 41 52 50 51 Without 55 56 61 41 50 50 61 48 54 Music Assume a Normal distribution. What can be concluded at the the x = 0.10 level of significance? For this study, we should use t-test for the difference between two dependent population means Ho: ud 8 8 8 H₁: ud o a. The null and alternative hypotheses would be: 8 8 With Music b. The test statistic c. The p-value = d. The p-value is a = 0 e. Based on this, we should reject 0 (please enter a decimal) (Please enter a decimal) (please show your answer to 3 decimal places.) (Please show your answer to 4 decimal places.) the null hypothesis.
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Is there a difference in the car brand's countries for Midwesterners and people from the west coast? Of the 174 randomly selected Midwesterners surveyed 70 had an American car, 83 had a car from Asia, and 21 had a cars from another country. Of the 171 randomly selected people from the west coast who were surveyed, 43 had an American car, 89 had a car from Asia, and 39 had a car from outside of the US and Asia. Conduct the appropriate hypothesis test using an x = 0.01 level of significance. a. What is the correct statistical test to use? O Goodness-of-Fit O Independence Homogeneity Paired t-test b. What are the null and alternative hypotheses? Ho: The distribution of car brand's countries is not the same for Midwesterners and people from the west coast. Address and car brand's countries are dependent. Address and car brand's countries are independent. The distribution of car brand's countries is the same for Midwesterners and people from the west coast. H₁: O The distribution of car brand's countries is the same for Midwesterners and people from the west coast. O Address and car brand's countries are dependent. Address and car brand's countries are independent. The distribution of car brand's countries is not the same for Midwesterners and people from the west coast. c. The test-statistic for this data = (Please show your answer to three decimal places.) d. The p-value for this sample= e. The p-value is [Select an answer f. Based on this, we should O fail to reject the null accept the null O reject the null a (Please show your answer to four decimal places.) g. Thus, the final conclusion is... O There is sufficient evidence to conclude that the distribution of car brand's countries is not the same for Midwesterners and people from the west coast. O There is sufficient evidence to conclude that address and car brand's countries are dependent. O There is insufficient evidence to conclude that the distribution of car brand's countries is not the same for Midwesterners and people from the west coast. O There is sufficient evidence to conclude that the distribution of car brand's countries is the same for Midwesterners and people from the west coast. O There is insufficient evidence to conclude that address and car brand's countries are independent.
Transcribed Image Text:Is there a difference in the car brand's countries for Midwesterners and people from the west coast? Of the 174 randomly selected Midwesterners surveyed 70 had an American car, 83 had a car from Asia, and 21 had a cars from another country. Of the 171 randomly selected people from the west coast who were surveyed, 43 had an American car, 89 had a car from Asia, and 39 had a car from outside of the US and Asia. Conduct the appropriate hypothesis test using an x = 0.01 level of significance. a. What is the correct statistical test to use? O Goodness-of-Fit O Independence Homogeneity Paired t-test b. What are the null and alternative hypotheses? Ho: The distribution of car brand's countries is not the same for Midwesterners and people from the west coast. Address and car brand's countries are dependent. Address and car brand's countries are independent. The distribution of car brand's countries is the same for Midwesterners and people from the west coast. H₁: O The distribution of car brand's countries is the same for Midwesterners and people from the west coast. O Address and car brand's countries are dependent. Address and car brand's countries are independent. The distribution of car brand's countries is not the same for Midwesterners and people from the west coast. c. The test-statistic for this data = (Please show your answer to three decimal places.) d. The p-value for this sample= e. The p-value is [Select an answer f. Based on this, we should O fail to reject the null accept the null O reject the null a (Please show your answer to four decimal places.) g. Thus, the final conclusion is... O There is sufficient evidence to conclude that the distribution of car brand's countries is not the same for Midwesterners and people from the west coast. O There is sufficient evidence to conclude that address and car brand's countries are dependent. O There is insufficient evidence to conclude that the distribution of car brand's countries is not the same for Midwesterners and people from the west coast. O There is sufficient evidence to conclude that the distribution of car brand's countries is the same for Midwesterners and people from the west coast. O There is insufficient evidence to conclude that address and car brand's countries are independent.
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