Hypothesis test on ordinal data

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SUMMARY

This discussion focuses on conducting hypothesis tests for ordinal data, specifically customer satisfaction ratings ranging from 1 (highly satisfied) to 5 (highly dissatisfied). Participants confirm that traditional techniques for nominal data, such as the chi-square test, can be adapted for ordinal data with caution. The use of binary variables to simplify analysis is recommended, along with the application of proportions instead of t-tests due to the unknown standard deviation. The null hypothesis (H0: u=95%) and alternative hypothesis (H1: U<95%) are established for testing satisfaction levels.

PREREQUISITES
  • Understanding of ordinal data and its characteristics
  • Familiarity with chi-square tests, specifically Pearson's chi-square test
  • Knowledge of hypothesis testing concepts, including null and alternative hypotheses
  • Basic statistical skills, particularly in calculating proportions
NEXT STEPS
  • Research the application of chi-square tests for ordinal data
  • Learn how to create and analyze binary "dummy" variables for hypothesis testing
  • Study the methodology for calculating proportions in statistical tests
  • Explore advanced techniques for handling ordinal data in statistical software
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Statisticians, data analysts, and researchers dealing with ordinal data, particularly in customer satisfaction studies and hypothesis testing scenarios.

ultimatejester
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Can i use the same the techniques used for nominal data on the ordinal data. I can't seem to find help on hypothesis test for ordinal data. This question contains categories (customer satisfaction) and they are in order so the data must be ordinal but they haven't taught us how to conduct a test on the ordinal data.


btw why isn't there any info on conducting a test on ordinal data anywhere. Not even google can find anything. Is it even possible to conduct an inference on nominal data.

Thank you.
 
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Thank you for replying(much sooner than i expected :)

I am familiar with chi distribution but i don't think it would work here since the population std. deviation and other attributes are unkown and because the data is ordinal i can't use basic techniques to figure them out either. All i have is the sample size which is 700 customers and their satisfaction rating with the company

1 = highly satisfied
2 = satisfied
3 = neutral
4 = dissatisfied
5 = highly dissatisfied

I will make another post right after this to elaborate further.
 
I could do proportions and use test statistic for proportions but the neutral category causes problem because that splits the customer base into categories.

-Satisfied
-Neutral
-Dissatisfied.
 
You could use binary variables:

Is the customer highly satisfied?
Is the customer at least satisfied?
Is the customer at least neutral?
Is the customer at least dissatisfied?
 
ultimatejester said:
Thank you for replying(much sooner than i expected :)

I am familiar with chi distribution but i don't think it would work here
Yes it would; see http://en.wikipedia.org/wiki/Pearson's_chi-square_test

You can also define binary "dummy" variables as CRGreathouse has suggested and test them individually or jointly.
 
i got it figured out. Thanks for the help. It is greatly appreciated.:smile:
 
hey

this may sound weird but i have the same question well it seems the same.. and I am stuck I am just wondering how you did it? did u use the population proportion?
 
Yes, i used proportions. You can change the code for success from 1,2,3,4,5 but the one you are really interested in is the "highly satisfied" or 1. I did a one tail test since the company wants to know where its is meeting the required 95% level. To get you started

H0: u=95%
H1: U<95%

Good Luck
 
  • #10
satisfaction question

so would you recommend using the t-test, since the std. dev. is unknown? also, wat would the null and alternative hypotheses be? thanks a lot!
 
  • #11
The null and alternative hypothesis are mentioned in my above post. You can't use the t-test. All you are allowed to do on data in count the occurences. Use proportions. Post here if you need more help.

Thanks.

Adil.A
 
  • #12
Hi,

I was wondering if u could post how u did that question.

I'm having the same problem and i still can't figure it out :(

Any help would be really appreciated! Thanks!

Dona.
 

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