Week 4. Statistical models 1 (correlations and t-tests) Flashcards
What is parametric data?
Normal Data
Non-parametric data =
not normal or non-normal data
we will really only assess the normality of ————- data
continuous
What is normal?
Bell curve - normal distribution
Not too skewed
Not too kurtotic
No outliers
Normality is
an assumption of some statistical models, mathematically
if data is parametric we need to run ——— ——-
parametric tests
parametric tests are more ———
powerful
testing for outliers is done by running a ——- ——– test
box plot
an alternative test istrasfering data to zscroes and using data within —– ——- ——- ——- ——- ——–
3 standard deviations from the mean
A higher degree of freedom (df)
more statistical power
on a box plot the box indicates
the interquartile range
on a box plot the horizontal like in the middle of the box represents the
median (middle score)
The interquartile range is the
25-75th percentile
the whisker coming out of the top an the bottom of the box indicates the
scores within the acceptable zone
the dots are the
outliers
