A recent journal article reported that college students tend to watch an average

Question

A recent journal article reported that college students tend to watch an average of 12 hours of television per week. Candice, a college senior, believes that college students at her school watch a different amount of television per week than 12 hours. To test her theory, she randomly selects 79 students from her college and asks each student to record the number of hours he/she spends watching television (on average) each week. Candice finds that her sample of students watches an average of 9.49 hours of television per week, with a 95% confidence interval from 7.60 hours to 11.37 hours. Based on this interval, should Candice reject or fail to reject the hypothesis that students at her school watch an average of 12 hours of television per week?

Candice should reject the null hypothesis as the 95% confidence interval does not contain 12 hours

Candice should fail to reject the null hypothesis as the 95% confidence interval does not contain 12 hours

Candice should fail to reject the null hypothesis as the 95% confidence interval contains 12 hours

Candice should reject the null hypothesis as there is no p-value calculated

Candice should reject the null hypothesis as the 95% confidence interval does not contain 12 hours

Candice should fail to reject the null hypothesis as the 95% confidence interval does not contain 12 hours

Candice should fail to reject the null hypothesis as the 95% confidence interval contains 12 hours

Candice should reject the null hypothesis as there is no p-value calculated

Explanation / Answer

[ANSWER]  
Candice should reject the null hypothesis as the 95% confidence interval does not contain 12 hours

since students at her school watch an average of 12 does n't lie in the interval from 7.60 hours to 11.37 hours

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