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? E Click the icon to view the table of survey results. Determine the null and alternative hypotheses. Ho: H1: Determine the test statistic. x = (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? O A. 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. B. 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. C. 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. 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
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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                                          Yes    No
Texted While Driving    743    3023
No Texting While Driving    157    4511

 

h0: and h1: same options 

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.
X = (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?
A. 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.
B. 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.
C. 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.
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.
Transcribed Image Text: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. X = (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? A. 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. B. 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. C. 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. 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.
Ho:
H1:
Dete
Texting while driving and other risky behaviors are dependent.
Texting while driving is independent of driving while drinking alcohol.
Dete
P-va
Texting while driving and driving while drinking alcohol are dependent.
Do tl
Texting while driving is independent of all other risky behaviors.
Transcribed Image Text:Ho: H1: Dete Texting while driving and other risky behaviors are dependent. Texting while driving is independent of driving while drinking alcohol. Dete P-va Texting while driving and driving while drinking alcohol are dependent. Do tl Texting while driving is independent of all other risky behaviors.
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