Week 14 Discussion Instructions Here we discuss the Chi-square goodness of fit and Chi-square test of independence. This will be a detailed discussion worth 15 points so plan accordingly. Please use...

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Week 14 Discussion Instructions
Here we discuss the Chi-square goodness of fit and Chi-square test of independence. This will be a detailed discussion worth 15 points so plan accordingly.  Please use the following Instructions to write your reply.
Please follow the videos at
· Stats 3e Screencast 17.3
· Stats 3e Screencast 17.9
The Chapter 18 videos are optional.  For your reply, please:
1. Describe a scenario where you could use the Chi-square goodness of fit test OR the Chi-square test of independence.
2. Set up your test in SPSS and find out at what sample size the differences between groups become significant or at what counts per cell in the Chi-square test of independence the results become significant.
1. The point here is to get practice running one of the Chi-square methods and to see what relationship there is between sample size and the proportions you are comparing.  For example, if we go into a typical online classroom of 20 people and ask people whether they prefer one of three pizza toppings (cheese only, vegetables only, meat only), we might propose to expect an even distribution of scores, so 33% per category.
2. At 20 people, this is just over 6 people per group, so we might expect frequencies of Cheese (6 people), Vegetable (6 people), and Meat (8 people).  We would then compare our actual distribution of people's responses to these expectations using SPSS or an online Chi-square goodness of fit calculator to see if the counts per cell (frequencies or proportions) do or don't match the expected distribution of responses.  If our observed data is Cheese(n=3), Vegetable (n=3), and Meat (n=14), the Chi-square value is:  The Chi^2 value is 7.5. The p-value is XXXXXXXXXXThe result is significant at p < .05.
3. Try out a few of your own calculations to see what size difference between the observed and expected frequencies you need before the results are statistically significant.  Use samples of 20-30 people and list your expected frequencies, observed frequencies and Chi-square values.  List one example of a non-significant result and one example of a significant result.
4. Please attach your SPSS data and viewer files with your response
5. Discuss your observations or questions with classmates - how could you use this, what was clear, what was unclear.
You may also want to try out these calculators in addition to SPSS
1. https://www.socscistatistics.com/tests/goodnessoffit/default2.aspx
2. https://www.socscistatistics.com/tests/chisquare2/default2.aspx
The main post should be about XXXXXXXXXXwords and replies to classmates should be at least 100 words.  Please post at least 1 reply to classmates.  Help each other out as much as possible.
Answered Same DayMay 12, 2021

Solution

Saravana answered on May 12 2021
28 Votes

1. Describe a scenario where you could use the Chi-square goodness of fit test OR the Chi-square test of independence.
We would use Chi-square test whenever we want to check whether there is a...

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