topic Chi Square Goodness of Fit and Dividing Data into Disjoint Categories in SAS Programming

Chi Square Goodness of Fit and Dividing Data into Disjoint Categories

ala_lee — Fri, 05 Oct 2018 19:37:18 GMT

Hello! I am working on this problem and I am unsure of how to divide the data into 5 disjoint categories and use the chi-square goodness-of-fit method without continuity correction. The dataset is attached.

Use the chi-square goodness-of-fit method without continuity correction to determine whether the student reading scores are from the normal distribution N(47:8; 8:82). Divide data into 5 disjoint categories: less than or equal to 40 , greater than 40 and less than or equal to 46 , greater than 46 and less than or equal to 48 , greater than 48 and less than or equal to 52 , and greater than 52 . Report the degree of freedom and the observed value of chi-square test statistic, p-value and draw statistical conclusion
based on your findings.

Re: Chi Square Goodness of Fit and Dividing Data into Disjoint Categories

Reeza — Fri, 05 Oct 2018 19:45:20 GMT

That looks and reads like homework. Very happy to help you out, but it helps if you show what you've tried so far. The categories are defined in the question so that should be relatively straightforward task using IF/THEN statements.

Here's a quick tutorial on recoding variables:

https://stats.idre.ucla.edu/sas/modules/creating-and-recoding-variables-in-sas/

If you're having trouble post your code AND log that would show any errors that you're encountering.

@ala_lee wrote:

Hello! I am working on this problem and I am unsure of how to divide the data into 5 disjoint categories and use the chi-square goodness-of-fit method without continuity correction. The dataset is attached.

Use the chi-square goodness-of-fit method without continuity correction to determine whether the student reading scores are from the normal distribution N(47:8; 8:82). Divide data into 5 disjoint categories: less than or equal to 40 , greater than 40 and less than or equal to 46 , greater than 46 and less than or equal to 48 , greater than 48 and less than or equal to 52 , and greater than 52 . Report the degree of freedom and the observed value of chi-square test statistic, p-value and draw statistical conclusion
based on your findings.

Re: Chi Square Goodness of Fit and Dividing Data into Disjoint Categories

justin7465 — Sat, 10 Oct 2020 00:04:19 GMT

Hi I have this same question, can I ask you about it?

Re: Chi Square Goodness of Fit and Dividing Data into Disjoint Categories

Reeza — Sat, 10 Oct 2020 17:27:30 GMT

Post it as a new question in the forum and someone will answer it 🙂
If you post it here, only people who originally responded to this thread two years ago will see it.