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A sociologist focusing on popular culture and media believes that the average number of hours per week (hrs/week) spent using social media is greater for women than for men. Examining two independent simple random samples of 100 individuals each, the researcher calculates sample standard deviations of 2.3 hrs/week and 2.5 hrs/week for women and men respectively. If the average number of hrs/week spent using social media for the sample of women is i hour greater than that for the sample of men, what conclusion can be made from a hypothesis test where: (Họ: Hw – HM = 0 (H1: Hw – Hm > 0 a. The observed difference in average number of hrs/week spent using social media is not significant b. The observed difference in average number of hrs/week spent using social media is significant c. A conclusion is not possible without knowing the average number of hrs/week spent using social media in each sample d. A conclusion is not possible without knowing the population sizes

A sociologist focusing on popular culture and media believes that the average number of hours per week (hrs/week) spent using social media is greater for women than for men. Examining two independent simple random samples of 100 individuals each, the researcher calculates sample standard deviations of 2.3 hrs/week and 2.5 hrs/week for women and men respectively. If the average number of hrs/week spent using social media for the sample of women is i hour greater than that for the sample of men, what conclusion can be made from a hypothesis test where: (Họ: Hw – HM = 0 (H1: Hw – Hm > 0 a. The observed difference in average number of hrs/week spent using social media is not significant b. The observed difference in average number of hrs/week spent using social media is significant c. A conclusion is not possible without knowing the average number of hrs/week spent using social media in each sample d. A conclusion is not possible without knowing the population sizes

A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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A sociologist focusing on popular culture and media believes that the average number of hours per week (hrs/week) spent using social media is greater for women than for men. Examining two independent simple random samples of 100 individuals each, the researcher calculates sample standard deviations of 2.3 hrs/week and 2.5 hrs/week for women and men respectively. If the average number of hrs/week spent using social media for the sample of women is 1 hour greater than that for the sample of men, what conclusion can be made from a hypothesis test where: (Ho: Hw – Hm = 0 (H1:µw – HM > 0 a. The observed difference in average number of hrs/week spent using social media is not significant b. The observed difference in average number of hrs/week spent using social media is significant c. A conclusion is not possible without knowing the average number of hrs/week spent using social media in each sample d. A conclusion is not possible without knowing the population sizes
Transcribed Image Text:A sociologist focusing on popular culture and media believes that the average number of hours per week (hrs/week) spent using social media is greater for women than for men. Examining two independent simple random samples of 100 individuals each, the researcher calculates sample standard deviations of 2.3 hrs/week and 2.5 hrs/week for women and men respectively. If the average number of hrs/week spent using social media for the sample of women is 1 hour greater than that for the sample of men, what conclusion can be made from a hypothesis test where: (Ho: Hw – Hm = 0 (H1:µw – HM > 0 a. The observed difference in average number of hrs/week spent using social media is not significant b. The observed difference in average number of hrs/week spent using social media is significant c. A conclusion is not possible without knowing the average number of hrs/week spent using social media in each sample d. A conclusion is not possible without knowing the population sizes
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