David McCandless, Lee Byron, and their team scanned more than 10,000 Facebook status updates and set out to learn more about the timing of relationship breakups. They found that there was a peak in breakups on Valentine’s Day and Mondays with a dip on Christmas Day. [Source: McCandless, D. (July 2010). The beauty of data visualization. TEDGlobal talks.] Suppose you are a researcher. You conduct a hypothesis test to determine whether the mean number of breakups on Wednesdays is greater than the mean number of daily breakups. Assume that the mean number of daily breakups is 10.3 breakups (the population mean). You obtain a sample of 10,000 Facebook status updates, which yields a sample mean of M = 11.4 breakups. Let μ denote the mean number of breakups on Wednesdays. Formulate your null and alternative hypotheses by selecting the appropriate values in the blue dropdown menus that follow.
David McCandless, Lee Byron, and their team scanned more than 10,000 Facebook status updates and set out to learn more about the timing of relationship breakups. They found that there was a peak in breakups on Valentine’s Day and Mondays with a dip on Christmas Day. [Source: McCandless, D. (July 2010). The beauty of data visualization. TEDGlobal talks.] Suppose you are a researcher. You conduct a hypothesis test to determine whether the mean number of breakups on Wednesdays is greater than the mean number of daily breakups. Assume that the mean number of daily breakups is 10.3 breakups (the population mean). You obtain a sample of 10,000 Facebook status updates, which yields a sample mean of M = 11.4 breakups. Let μ denote the mean number of breakups on Wednesdays. Formulate your null and alternative hypotheses by selecting the appropriate values in the blue dropdown menus that follow.
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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Formulating directional and nondirectional hypotheses
David McCandless, Lee Byron, and their team scanned more than 10,000 Facebook status updates and set out to learn more about the timing of relationship breakups. They found that there was a peak in breakups on Valentine’s Day and Mondays with a dip on Christmas Day. [Source: McCandless, D. (July 2010). The beauty of data visualization. TEDGlobal talks.]
Suppose you are a researcher. You conduct a hypothesis test to determine whether the mean number of breakups on Wednesdays is greater than the mean number of daily breakups. Assume that the mean number of daily breakups is 10.3 breakups (the population mean). You obtain a sample of 10,000 Facebook status updates, which yields a sample mean of M = 11.4 breakups.
Let μ denote the mean number of breakups on Wednesdays. Formulate your null and alternative hypotheses by selecting the appropriate values in the blue dropdown menus that follow.
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