On average, they report 6.6 hours a week going to parties, and the sample SD (or SD+) is 9 hours. Is the difference between the sample average (6.6 hours) and average under the null hypothesis (7.5 hours) real? Hint: Recall that you need to use the t-statistic here. Group of answer choices The z-test statistic is between -1 and 1 (inclusive), so the difference looks like chance. The z-test statistic is between -1 and 1 (inclusive), so the difference appears to be real.
On average, they report 6.6 hours a week going to parties, and the sample SD (or SD+) is 9 hours. Is the difference between the sample average (6.6 hours) and average under the null hypothesis (7.5 hours) real? Hint: Recall that you need to use the t-statistic here. Group of answer choices The z-test statistic is between -1 and 1 (inclusive), so the difference looks like chance. The z-test statistic is between -1 and 1 (inclusive), so the difference appears to be real.
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section: Chapter Questions
Problem 8CR
Related questions
Question
In this question, you are asked to use the t-test
A newspaper article says that on the average, college freshman spend 7.5 hours a week going to parties. One administer does not believe that these figures apply at her college, which has nearly 3,000 freshman, as she believe freshmen spent less time going to parties. She takes a simple random sample of 100 freshman and interviews them. On average, they report 6.6 hours a week going to parties, and the sample SD (or SD+) is 9 hours.
Is the difference between the sample average (6.6 hours) and average under the null hypothesis (7.5 hours) real?
Hint: Recall that you need to use the t-statistic here.
Group of answer choices
The z-test statistic is between -1 and 1 (inclusive), so the difference looks like chance.
The z-test statistic is between -1 and 1 (inclusive), so the difference appears to be real.
The z-test statistic is smaller than -1 or larger than 1, so the difference looks like chance.
The z-test statistic is smaller than -1 or larger than 1, so the difference appears to be real.
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