General Topics You Should be Comfortable With:
• In case you struggled in any respect with descriptive statistics (imply, median, mode, sd, variance) it is best to assessment these ideas.
• Inhabitants vs. pattern
• Sampling:
o Logic behind samples
o Errors related to sampling
o Notations to symbolize pattern vs. inhabitants
o Varieties of samples: what they’re, why we use them, advantages / drawbacks of every
• Sampling distributions / distribution of means
• Central restrict theorem
• Confidence Intervals
o What they’re
o Ranges of confidence
o How social scientists report confidence
o How you can calculate a confidence interval
• Speculation testing
o Distinction between the null and the analysis speculation, and how you can report every
 How are you aware when to reject or fail to reject the null speculation?
o Sort I vs. Sort II errors
o Ranges of significance
 What does this imply?
 Why can we set ranges of significance?
 Fisher’s p-value
 Vital area
• T-tests (enjoyable reality: I used t-tests to investigate the info for my Grasp’s thesis)
o Why can we do them? What are they testing?
o Know the null / different hypotheses related to the sorts of t-tests
o Know the assumptions of every sort of t-test
o Know how you can interpret the SPSS output from a t-test

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