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Count . For their final project, a group of statistics students at a large university investigated their belief that females at their school text more than males at their school. They asked a random sample of 110 students - 50 males (M) and 60 females (F) - from their school to record the number of text messages sent and received over a two-day period. Histograms of their data are shown below. Males Females 15- 10- Count 10- 15- 50 100 150 200 250 300 0 50 100 150 200 250 300 Number of Text Messages Number of Text Messages Would it be appropriate to use this data to perform a two-sample mean t-interval addressing these students' belief? (A) No, because the histograms are quite skewed indicating it is not reasonable to assume that the populations are normally distributed. (B) No, because the data are not from independent random samples. (C) No, because nмPM: nм(1 - PM), np, and n(1 - p) are not all sufficiently large. (D) No, because Пм and np are not equal. (E) Yes, because all of the conditions for this inference procedure have been met.

Count . For their final project, a group of statistics students at a large university investigated their belief that females at their school text more than males at their school. They asked a random sample of 110 students - 50 males (M) and 60 females (F) - from their school to record the number of text messages sent and received over a two-day period. Histograms of their data are shown below. Males Females 15- 10- Count 10- 15- 50 100 150 200 250 300 0 50 100 150 200 250 300 Number of Text Messages Number of Text Messages Would it be appropriate to use this data to perform a two-sample mean t-interval addressing these students' belief? (A) No, because the histograms are quite skewed indicating it is not reasonable to assume that the populations are normally distributed. (B) No, because the data are not from independent random samples. (C) No, because nмPM: nм(1 - PM), np, and n(1 - p) are not all sufficiently large. (D) No, because Пм and np are not equal. (E) Yes, because all of the conditions for this inference procedure have been met.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Count . For their final project, a group of statistics students at a large university investigated their belief that females at their school text more than males at their school. They asked a random sample of 110 students - 50 males (M) and 60 females (F) - from their school to record the number of text messages sent and received over a two-day period. Histograms of their data are shown below. Males Females 15- 10- Count 10- 15- 50 100 150 200 250 300 0 50 100 150 200 250 300 Number of Text Messages Number of Text Messages Would it be appropriate to use this data to perform a two-sample mean t-interval addressing these students' belief? (A) No, because the histograms are quite skewed indicating it is not reasonable to assume that the populations are normally distributed. (B) No, because the data are not from independent random samples. (C) No, because nмPM: nм(1 - PM), np, and n(1 - p) are not all sufficiently large. (D) No, because Пм and np are not equal. (E) Yes, because all of the conditions for this inference procedure have been met.
Transcribed Image Text:Count . For their final project, a group of statistics students at a large university investigated their belief that females at their school text more than males at their school. They asked a random sample of 110 students - 50 males (M) and 60 females (F) - from their school to record the number of text messages sent and received over a two-day period. Histograms of their data are shown below. Males Females 15- 10- Count 10- 15- 50 100 150 200 250 300 0 50 100 150 200 250 300 Number of Text Messages Number of Text Messages Would it be appropriate to use this data to perform a two-sample mean t-interval addressing these students' belief? (A) No, because the histograms are quite skewed indicating it is not reasonable to assume that the populations are normally distributed. (B) No, because the data are not from independent random samples. (C) No, because nмPM: nм(1 - PM), np, and n(1 - p) are not all sufficiently large. (D) No, because Пм and np are not equal. (E) Yes, because all of the conditions for this inference procedure have been met.
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