Module 3
Measures of variation
averages derives from low variablity are more accurate than those from high variability
statistical significance
indicates the likelyhood a result is to happen
IF p>0.5--> not significant
IF P< or= --> significant
Null hypothesis
assumption that no difference exists
Measures of central tendency
single score that represents a whole set of scores
Mean
average of distribution, found by adding all the scores then dividing by number of scores
Median
the middle number, organizing the numbers from least to greatest and then half the scores
Mode
number that occurs the most
variation
change/ slight difference
Range
difference between highest and lowest number in distribution
standard deviation
computed meausre of how much scores vary around mean score
normal curve
bell shaped curve that describes the distribution of data
inferential statistics
using sample of data to draw conclusions about a broad population