Question 1

A candidate for political office wants to determine if there is a difference in her popularity (proportion) between millennials and baby boomers. To test the claim of this difference, she conducts a survey of voters. The sample contains 515 millennials and 650 baby boomers, of which 285 of the millennials and 340 of the baby boomers favor her candidacy. Do these values indicate a significant difference in popularity between these two groups? Use a 0.05 significance level

Please write the hypothesis statements for this situation. Upload a photo of your response.

Question 2

Question 2 options:

A candidate for political office wants to determine if there is a difference in her popularity (proportion) between millennials and baby boomers. To test the claim of this difference, she conducts a survey of voters. The sample contains 515 millennials and 650 baby boomers, of which 285 of the millennials and 340 of the baby boomers favor her candidacy. Do these values indicate a significant difference in popularity between these two groups? Use a 0.05 significance level.

z-stat(round to 2 decimal places)=

p-value(do not round)=

What is your decision(Retain Ho or Reject Ho)?

Question 3

Give a summary statement for the hypothesis test in the prior problem. Be sure to use the context of the problem

Question 4 options

Nursing faculty at a local college were interested in seeing if the mean starting salaries for newly graduated registered nurses (RN) in Philadelphia is greater than the mean starting salaries in Baltimore. One hundred randomly selected new Philadelphia RNs had a mean salary of $65,275 with a standard deviation of $10,500. One hundred randomly selected new Baltimore RNs showed a mean salary of $61,500 with a standard deviation of $9,550. Does this evidence show higher mean salary in Philadelphia? (Let = 0.05)

Which are the correct hypothesis statements for this situation?

Ho: Up = Hb Ho: Hp = Hb Ho: Pp = Pb Ho:u = 65,275 B. HA: Pp > Pb HA: u > 65,275 HA: Mp # Hb C HA: Ho > HD D. A.\fOptions X Analysis of Variance results: Responses: Sample(Duration (mins)) Factors: Sample(Genre) Response statistics by factor Sample(Genre) * n + Mean + Std. Dev. * Std. Error * Comedy 336 96.104167 17.098778 0.93281483 Drama 564 98.143617 16.676068 0.70218913 Horror 100 96.59 14.291408 1.4291408 ANOVA table Source DF SS MS F-Stat P-value Sample(Genre) 2 932.27981 466.13991 1.6916366 0.1847 Error 997 274728.91 275.55558 Total 999 275661.19