In a study of high school students at least 16 years of age, researchers obtained survey results summarized in the accompanying table. Use a 0.05 significa texting while driving and driving when drinking alcohol. Are those two risky behaviors independent of each other? Click the icon to view the table of survey results. Survey Results Determine the null and alternative hypotheses. Ho H₁: Determine the test statistic. Survey Results x²=(Round to two decima Determine the P-value of the t × P-value = (Round to three Do the results suggest that tex OA. Reject the null hypothe OB. Fail to reject the null h alcohol. Those two risk OC. Fail to reject the null h Drove When Drinking Alcohol? Texted While Driving No Texting While Driving Yes 736 No 154 3016 4514 Print Done of the time when driving while drinking alcohol. independence between texting while driving and driving while drinking ens 95% of the time when driving while drinking alcohol. OD. Reject the null hypothesis. There is sufficient evidence at a 0.05 significance level to warrant rejection of the claim of independence between texting while driving and driving while drinking alcohol. The two risky behaviors appear to be somehow related. In a study of high school students at least 16 years of age, researchers obtained survey results summarized in the accompanying table. Use a 0.05 significance level to test the claim of independence between texting while driving and driving when drinking alcohol. Are those two risky behaviors independent of each other? Click the icon to view the table of survey results. Determine the null and alternative hypotheses. Ho H₁ Determine the test statistic. x²=(Round to two decimal places as needed.) Determine the P-value of the test statistic. P-value = (Round to three decimal places as needed.) Do the results suggest that texting while driving and driving while drinking are related? OA. Reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that texting while driving happens 95% of the time when driving while drinking alcohol. OB. Fail to reject the null hypothesis. There is not sufficient evidence at a 0.05 significance level to warrant rejection of the claim of independence between texting while driving and driving while drinking alcohol. Those two risky behaviors are not related. OC. Fail to reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that texting while driving happens 95% of the time when driving while drinking alcohol. O D. Reject the null hypothesis. There is sufficient evidence at a 0.05 significance level to warrant rejection of the claim of independence between texting while driving and driving while drinking alcohol. Those two risky behaviors appear to be somehow related.
In a study of high school students at least 16 years of age, researchers obtained survey results summarized in the accompanying table. Use a 0.05 significa texting while driving and driving when drinking alcohol. Are those two risky behaviors independent of each other? Click the icon to view the table of survey results. Survey Results Determine the null and alternative hypotheses. Ho H₁: Determine the test statistic. Survey Results x²=(Round to two decima Determine the P-value of the t × P-value = (Round to three Do the results suggest that tex OA. Reject the null hypothe OB. Fail to reject the null h alcohol. Those two risk OC. Fail to reject the null h Drove When Drinking Alcohol? Texted While Driving No Texting While Driving Yes 736 No 154 3016 4514 Print Done of the time when driving while drinking alcohol. independence between texting while driving and driving while drinking ens 95% of the time when driving while drinking alcohol. OD. Reject the null hypothesis. There is sufficient evidence at a 0.05 significance level to warrant rejection of the claim of independence between texting while driving and driving while drinking alcohol. The two risky behaviors appear to be somehow related. In a study of high school students at least 16 years of age, researchers obtained survey results summarized in the accompanying table. Use a 0.05 significance level to test the claim of independence between texting while driving and driving when drinking alcohol. Are those two risky behaviors independent of each other? Click the icon to view the table of survey results. Determine the null and alternative hypotheses. Ho H₁ Determine the test statistic. x²=(Round to two decimal places as needed.) Determine the P-value of the test statistic. P-value = (Round to three decimal places as needed.) Do the results suggest that texting while driving and driving while drinking are related? OA. Reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that texting while driving happens 95% of the time when driving while drinking alcohol. OB. Fail to reject the null hypothesis. There is not sufficient evidence at a 0.05 significance level to warrant rejection of the claim of independence between texting while driving and driving while drinking alcohol. Those two risky behaviors are not related. OC. Fail to reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that texting while driving happens 95% of the time when driving while drinking alcohol. O D. Reject the null hypothesis. There is sufficient evidence at a 0.05 significance level to warrant rejection of the claim of independence between texting while driving and driving while drinking alcohol. Those two risky behaviors appear to be somehow related.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 8SGR
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