Cheat sheet for stats PDF

Title Cheat sheet for stats
Author Taylani Ireland
Course Quantitative Methods in Psychology
Institution University of Wollongong
Pages 8
File Size 732.1 KB
File Type PDF
Total Downloads 36
Total Views 163

Summary

Cheat sheet...


Description

0.9987 Cheat sheet for stats Mean = all scores added and divided by number there Median = middle number in the data Mode = most frequent Range = highest minus the lowest

Sum of squares working

Variance and standard deviation Formula 2 for sum of squares

Z SCORE

-

The larger a z score is the further away it is from the mean (extreme) and much less likely to happen

Proportion and area of scores under the mean. Multiply by 100 to get percentage - The above table is used to find the probability

Probability of a score

Area beyond

Central a) The

the

(law b) The

the

c)

the

limit theorem mean of the sampling distribution of mean will approximate the population mean of large numbers) shape of the sampling distribution of mean will approximate the normal distribution whatever the population distribution The standard deviation of the samplin ribution of the mean

z score population formula

Hypothesis test steps

TYPE OF TEST Two tail- is when two different things are tested. Australian children vs African children (non directional test) Single tailed is when the same thing is being tested – athletes fatigue (directional test) One tail t test how to calculate T observed

CMF = column marginal frequency RMF = row marginal frequency Expected value formular E = CMF/N (RMF)

** you cant get negative Chi square vales...


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