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Thread: two sample t test - comparing rates

  1. #1
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    two sample t test - comparing rates

    Hi

    I have been asked to evaluate the below results from a fundraising campaign, and conclude whether there are any differences between the TEST and CONTROL groups. Specifically, i need to decide whether the response rate and income per £ invested are significantly higher in the TEST group.

    I would be grateful for any help with this, i think i may have the answer for the response rate test. I believe this would involve a two sample t test using Mailing volume as the 'n1' and 'n2', and estimating the sample standard deviation as SQRT(p*(1-p)) where p is the observed response rate in both samples, given that these are bernoulli trials. I would be grateful if anyone could confirm this approach, and how i could carry out a similar analysis for income per £ invested (which doesnt constitute a bernoulli trial).

    Many thanks
    Colin

    CONTROL VS TEST Mailing Volume Responses Income Cost response rate income per £ invested
    TEST 2140 211 £8,845 £1,070 0.099 8.27
    CONTROL 576 32 £1,489 £288 0.056 5.17
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  2. #2
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    Re: two sample t test - comparing rates

    Follow this example.


    Hypothesis Test: Difference in Proportions


    Make p_1 the response rate for the test group and  p_2 the response rate for the control group

    Use the case where H_0: p_1 - p_2 \geq 0
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  3. #3
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    Re: two sample t test - comparing rates

    Thanks for this very quick response. But if i need to estimate the standard deviation would it not be a t-test (as opposed to analysis using the Normal Distribution)? Im fine with the logic other than that.

    Also, can you advise how i might compare 'income per £ invested' in the same way?

    I really appreciate the help here

    Bests,
    Colin
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