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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

Calculus For The Life Sciences
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter13: Probability And Calculus
Section13.2: Expected Value And Variance Of Continuous Random Variables
Problem 10E
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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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