Statistical Tests Flashcards
(24 cards)
Bivariate analysis that measures the strength of association between two variables in the direction of the relationship
Correlation
Value coefficient comes between ____ and ____
+1 and -1
Means positive relationship or two variables are directly related to each other
+1
Means negative relationship or two variables are inversely related to each other
-1
Non-parametric test that is used to measure degree of association between variables
Spearman RHO
Widely used correlation Statistics to measure degree of relationship between the gnarly correlated variables
Describe a relationship between variables by fitting a line
Regression
Estimate the relationship between two quantities variables
Simple linear regression
The spread of data is the same for all groups being compared
Homoscedasticity/ Homogeneity of Variance
One observation is not influenced by the value of any other observation
Independence of observations
Normal distribution is a bell-shaped curve
Normality
Estimate the relationship between two or more independent variable and one dependent Variable
Multiple linear regression
Three kinds of statistical analysis
- Descriptive Analysis
- Correlational Analysis
- Analyzing difference between groups
Used to compare the means of two groups
T-test
- are independent
- normally distributed
- have a similar of variance within each group being compared
T-test
If the groups comes from a single population
Paired t-test
If the group come from two different populations
Two-sample T- test
If there is one group being compared against the standard value
One-sample t-test
Two populations are different from each other, perform a ______
Two-tailed t-test
One population mean is greater than or less than the other, perform a _______
One-tailed t-test
Used to analyze the difference between the means of more than two groups
One-Way Anova
-
-used to analyze the difference Between the means of more than two groups
-Uses him one categorical independent variable and one quantitive dependent variable
One way Anova
Used to estimate How the mean of a quantitive variable changes according to the levels of two categorical Variables
Two-way Anova
Two-independent variables, in combination, affect a dependent variable
Two-way Anova
