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Comparing survey results with different sample sizes

Comparing survey results with different sample sizes
  1. How do you compare results from different sample sizes?
  2. Can we compare two samples with different sizes?
  3. How does the sample size of a survey affect the results?

How do you compare results from different sample sizes?

One way to compare the two different size data sets is to divide the large set into an N number of equal size sets. The comparison can be based on absolute sum of of difference. THis will measure how many sets from the Nset are in close match with the single 4 sample set.

Can we compare two samples with different sizes?

Unequal sample sizes can lead to: Unequal variances between samples, which affects the assumption of equal variances in tests like ANOVA. Having both unequal sample sizes and variances dramatically affects statistical power and Type I error rates (Rusticus & Lovato, 2014).

How does the sample size of a survey affect the results?

A larger sample size should hypothetically lead to more accurate or representative results, but when it comes to surveying large populations, bigger isn't always better. In fact, trying to collect results from a larger sample size can add costs – without significantly improving your results.

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