RESEARCH STATISTICAL TESTS Flashcards
Aka two-sample t-test. It is a statistical test that determines if there is a significant difference between the means of two independent or unpaired groups. Its variable is continuous.
Independent Samples T-Test
Groups in which cases or participants in each group are different.
Unpaired/unrelated groups
Requirement and Assumption for Independent Samples T-Test
- Random sample data from population
2 Two groups are unrelated - Dependent variable must be continuous and normally distributed in each group
- No significant outliers
- Variance of dependent variable across groups should be equal. (Homegeneity of variance)
Methods in Checking Outliers
- IQR Method
2. Boxplot
IQR Formula
Q3-Q1
Lower-bound formula
Q1-(1.5 x IQR)
Upper-bound formula
Q3+(1.5 x IQR)
True or False. Any points lesser than lower bound and higher than upper bound are outliers.
True
True or False. If outliers exist, we must leave them in.
False. Delete the outliers.
Methods for Checking Normality
- Distribution Plots
- Q-Q Plots
- Shapiro-Wilk test
True or False. For Q-Q Plots, if all points are close to the diagonal reference line, then it is normally distributed.
True
For Q-Q Plots, if points sag above or below the diagonal reference line, then there is a problem with the ________.
kurtosis
If points snake around the diagonal reference line, then there is a problem with the ________.
skewness
It is used to test null hypothesis that variances in different groups are not equal.
Levene’s Test
In Levene’s Test, the variances are heterogenous if ________.
p-value is less than or equal to alpha