Stats Flashcards
What’s the two sample z test and its assumptions?
Normality of Populations
Known Population Standard Deviations (σ1,σ2)
Random Sampling
Independent Samples
Success Fail Condition
What’s the paired t test assumptions
Nearly follows normal distribution
Random Sampling
Paired Observations that are independent
differences between paired observations should be approximately equal
What’s ANOVA and its assumptions
The observations are independent random samples from each group.
The variable is normally distributed in each group (i.e., the populations).
The population variance is the same in all groups.
The parameter is constant in each group (i.e., the mean does not change during measurement).
The residuals (i.e., errors) are normally distributed and have the same variance as the variance in assumption 3.
What’s the Chi square test and its assumptions
Counts on Individuals catorgized on 2 variables
Variables are independent of each other
The expected values are all less than 5.
Categorical variables
Fishers
2x2 Counting Table
mann Whitney
Independent Samples:
Random Sampling:
Two Independent Groups
Mutual Exclusivity
Equal Shapes of Distributions
how do pick a signifance level?
Consider the consequences of making a Type I error (rejecting a true null hypothesis). If the consequences are serious, you might opt for a more stringent significance level, such as 0.01.
one vs two sample.
two sample if Ha is not equal as opposed to greater than or less than.
Expected value equation
Expected Value= (Row Total×Column Total)/Grand Total