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December 15th, 2016, 09:22 PM   #1
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The assignment is:

"Use the five-step process for testing a research question. You can use the traditional method or the p-value method."

I literally don't know where to begin. Basically, in my class the prof. put up a survey and the class answered the survey, and that is our data. (the survey was converted to numbers in an excel file) (the numbers correspond to an answer choice on the survey, like a key. ex/1=dog, 2=cat)

We then have to pick two questions as testable variables and somehow test it. I think for a correlation, or a p-value maybe.

The two questions on the survey I chose are this:
1) What is your gender?
2) Do you prefer cats or dogs?

My claim is this: I believe the majority of females will prefer cats, and the majority of males will prefer dogs.

How would I test the hypothesis between these two variables? That is, how can I either reject the null hypothesis or fail to reject it?

Thanks,

Clara

Last edited by skipjack; December 16th, 2016 at 03:53 PM.
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December 16th, 2016, 11:51 AM   #2
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5 seconds worth of google

https://learn.bu.edu/bbcswebdav/pid-...fivesteps.html

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December 17th, 2016, 07:49 PM   #3
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Quote:
Originally Posted by claraflower View Post
The assignment is:

"Use the five-step process for testing a research question. You can use the traditional method or the p-value method."

I literally don't know where to begin. Basically, in my class the prof. put up a survey and the class answered the survey, and that is our data. (the survey was converted to numbers in an excel file) (the numbers correspond to an answer choice on the survey, like a key. ex/1=dog, 2=cat)

We then have to pick two questions as testable variables and somehow test it. I think for a correlation, or a p-value maybe.

The two questions on the survey I chose are this:
1) What is your gender?
2) Do you prefer cats or dogs?

My claim is this: I believe the majority of females will prefer cats, and the majority of males will prefer dogs.

How would I test the hypothesis between these two variables? That is, how can I either reject the null hypothesis or fail to reject it?

Thanks,

Clara
You can try Fisher's exact test (which is more complicated, though more accurate and probably easier to do with the p-value method) or Pearson's chi-squared test (which is less accurate and very easy to do with the traditional method).
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