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edit approved Apr 10, 2013 at 3:50
gpoo
edit approved Apr 10, 2013 at 3:50
gpoo
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I'm trying to analyze the results of a survey question. The question is multiple choice (but each respondent can only select one answer) and I want to calculate 95% confidence intervals for their responses.

A 122

B 55

C 16

D 14

E 13

Total 220

A      122
B       55
C       16
D       14
E       13
----------
Total  220

If I'm using R, can I treat each choice as a binomial (122 out of 220 chose AA, 98 did not choose AA) and use binconf()binconf() to compute the interval or is there a better method for categorical data?

I'm trying to analyze the results of a survey question. The question is multiple choice (but each respondent can only select one answer) and I want to calculate 95% confidence intervals for their responses.

A 122

B 55

C 16

D 14

E 13

Total 220

If I'm using R, can I treat each choice as a binomial (122 out of 220 chose A, 98 did not choose A) and use binconf() to compute the interval or is there a better method for categorical data?

I'm trying to analyze the results of a survey question. The question is multiple choice (but each respondent can only select one answer) and I want to calculate 95% confidence intervals for their responses.

A      122
B       55
C       16
D       14
E       13
----------
Total  220

If I'm using R, can I treat each choice as a binomial (122 out of 220 chose A, 98 did not choose A) and use binconf() to compute the interval or is there a better method for categorical data?

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cabird
cabird
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Confidence intervals for count data of a categorical

I'm trying to analyze the results of a survey question. The question is multiple choice (but each respondent can only select one answer) and I want to calculate 95% confidence intervals for their responses.

A 122

B 55

C 16

D 14

E 13

Total 220

If I'm using R, can I treat each choice as a binomial (122 out of 220 chose A, 98 did not choose A) and use binconf() to compute the interval or is there a better method for categorical data?