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descriptive statistics
describe a set of data
measures of central tendency are a type of statistical measure that try to find the center of a distribution (mean, median, and mode)
bimodal—more than one mode
positively skewed distributions have a group of scores that are very high compared to the rest of the scores, negatively skewed is the other way around with low scores skewing it
see pic pg 14
range is also an example of descriptive statistical measures, as is variance and standard deviation which look at how far any score is on average from the mean of the data
normal curve—the bell curve, pg 15
correlations
correlation coefficients range from -1 to +1, with 0 being a weak correlation (or technically no correlation)
you can graph correlations with a scatterplot and find the line of best fit, aka the slope
negative slope means negative correlation and vice versa! see pg. 16
inferential statistics and the p-value
these stats determine whether findings can be applied to a larger population or NOT, which is why accurate samples are important
all tests relating to inferential statistics yield a p-value, which needs to be smaller than 0.05 (meaning a 5% chance the results occurred by chance) for results to be statistically significant
effect sizes also must be high to demonstrate a good finding, because small samples where an effect is large and large samples where an effect is weak don’t really mean anything
replication is important because you re-conduct experiments to see if they still apply; we can also use meta-analysis to combine the results of many studies to get an average
what is the APA ethical guideline for animals?
care for animals humanely, acquire them legally, don’t make animals suffer too much
APA ethical guidelines for humans
no coercion into being a test subject
informed consent (knowing you are a test subject in some way, deception to hide what the study is about must be very ethical)
minors may need to ask for consent from guardians
confidentiality
risk (protection from harm during experiment!)
debriefing—knowing the results