Please enable JavaScript.
Coggle requires JavaScript to display documents.
Week 22 -Inferential statistics p.324 (Measures of central tendancy…
Week 22 -Inferential statistics p.324
Measures of central tendancy
Median
Mode
Mean
Descriptive statistics
A calculation which shows if the results down to chance or something else? We need to know whether the difference between conditions is large enough for us to conclude that it is unlikely to have arisen by chance alone and instead was caused by the IV
For each inferential test there is also a measure of effect size (the magnitude)
The 'effect size' (by how much?)
Must measure the effects/difference between conditions- inferential stats and overall results
Measures of distribution
The standard deviation and the range
Measures the variability and spread of scores in samples
Different inferential statistic tests
Assess whether a difference is statistically significant
Type of quantitative data collected determines which test to use
Nominal data
Chi -Square (χ2)
Chi-square- more flexible. Can be used for both experimental and correlational studies because it analyses 2 variables
Analyses data in a contingency table
Probability results occurred by chance and not other factors
Expected values
Probability values
Expressed as a 'proportion'
Probability proportion lower than 0.05/5% is statistically significant
Interval data
t-test - compares means and standard deviations
Can only analyse data from an experiment as it measures the effect of a single IV on a single DV
Symbols < > used for lower and greater than