Sample t | Statistics homework help

Please upload demonstrate in one file in Assignments for Week 10  Use the print screen or snipping tool to show your output.


RQ:   Are men or women more likely to recommend the center?

H0 = There is no difference between men and women in their likelihood to recommend the center
H1 = There is a difference between men and women in their likelihood to recommend the center

RQ: Do men or women go to the AFC more?

H0 = There is no difference between men and women in their visits to the center
H1 = There is a difference between men and women in their visits to the center


What is the  impact of consumer income on how much members spend at the club?  

Ho    There is no relationships between member income and how much they spend at AFC. 
HA   There is a relationship between member income and how much they spend at AFC. 


Colleen is the marketing manager for Virtually Viral, an entertainment company that collects viral videos from around the Internet and aggregates them on their website. Whether it’s videos of cats or unusual marriage proposals, Virtually Viral collects them all. Almost all of Virtually  Viral’s revenue comes from clicks on advertisements surrounding the videos.  To maximize profits, Colleen tries to match ad content to video content. For example, for the ‘Wacky Weddings’ section of the website, most advertisements link to wedding planners and invitation/paper product suppliers.
As part of this effort, Colleen contracted a web design firm to put together a new look for the website, with the goal of improving the amount of time visitors spend on the website. They produced four different versions, each arranging the videos and advertisements differently. Colleen is unsure which of these designs would result in the greatest amount of time spent on the site.
To solve this problem, Colleen designs an experiment. She sets up a system to randomly assign visitors to the website to experience one of the four designs, recording the number of seconds that they spend on the site. She wants to compare the groups with each other and see if the different designs result in different lengths of time viewing the website. Whichever results in the longest visits will become the new design for the site in general.
She knows from her market research class that she has a research question and that this calls for some type of hypothesis testing. She learned that treating groups differently and comparing them means that she has independent data. But the independent-samples t-test only compares two groups with each other and she has four.  How can she determine which she should  run — multiple independent-samples t-tests? Or is there a better way?

Decision Problem:  What web design should Colleen choose for her company?

Research Question: Which web design performs best?

Ho    There is no difference in web design performance. 
HA   There is a difference in web design performance. 


In a pretest, data on Nike were obtained from 45 respondents. These data are given in the SPSS file on the course site, which gives the usage, sex, awareness, attitude, preference, intention, and loyalty toward Nike of a sample of Nike users. Usage has been coded as 1, 2, or 3, representing light, medium, or heavy users. The sex has been coded as 1 for females and 2 for males. Awareness, attitude, preference, intention, and loyalty are measured on 7-point Likert-type scales (1 = very unfavorable, 7 = very favorable). Note that five respondents have missing values that are denoted by 9.

The Nike SPSS data file is posted—nike.sav

Using the appropriate hypothesis test utilizing SPSS for the statistical procedure, answer the research questions.  1st state the null hypothesis and the alternative.  Calculate the appropriate statistic.  State whether you can reject or accept the null hypothesis and why.  Interpret the result.Research Questions

1. Is there a difference by gender in awareness, attitude, preference, intention, and loyalty toward Nike among a sample of Nike users?

2. Is there is a difference in awareness, attitude, preference, intention, and loyalty among a sample of Nike users by Nike usage levels (heavy, medium and light)

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