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 | |
Total Downloads | 36 |
Total Views | 163 |
Cheat sheet...
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
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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...