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 Sundays is lower 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 Sundays. Formulate your null and alternative hypotheses by selecting the appropriate values in the blue dropdown menus that follow. H₀:    blank, blank, blank          H₁:                blank, blank, blank     the test you conduct is one tailed or two tailed??

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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 Sundays is lower 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 Sundays. Formulate your null and alternative hypotheses by selecting the appropriate values in the blue dropdown menus that follow.
H₀:    blank, blank, blank         
H₁:             
 
blank, blank, blank
 
 

the test you conduct is one tailed or two tailed??

 

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