Table of Contents
- 1 What type of analysis is appropriate for a continuous dependent and continuous independent variable?
- 2 What is the test for two continuous variables?
- 3 What type of test do you use when your dependent and independent variable are both categorical?
- 4 How do you know what statistical test to use?
- 5 How do we test for independence between two continuous variables?
- 6 What statistical techniques test the relationship between two continuous variables?
- 7 When do we use chi-square test?
- 8 What statistical analysis should be used if the variables are both nominal?
- 9 What are the dependent and independent variables in this study?
- 10 What is an independent samples t-test and how to use it?
What type of analysis is appropriate for a continuous dependent and continuous independent variable?
Regression analysis
Regression analysis is used when you want to predict a continuous dependent variable from a number of independent variables. If the dependent variable is dichotomous, then logistic regression should be used.
What is the test for two continuous variables?
Table 1
| Statistical test | Description |
|---|---|
| Pearson correlation test | Tests whether two continuous normally distributed variables exhibit linear correlation |
| Spearman correlation test | Tests whether there is a monotonous relationship between two continuous, or at least ordinal, variables |
When dependent variable is continuous and independent variable has two categories statistical test used for analysis will be?
A one-way analysis of variance (ANOVA) is used when you have a categorical independent variable (with two or more categories) and a normally distributed interval dependent variable and you wish to test for differences in the means of the dependent variable broken down by the levels of the independent variable.
What type of test do you use when your dependent and independent variable are both categorical?
If the dependent variable is normally distributed and you have a categorical independent variable is paired then you use a PAIRED T TEST. However, If the dependent variable is not normally distributed and you have a categorical independent variable is paired then you use WILCOXON SIGN RANK TEST.
How do you know what statistical test to use?
Selection of appropriate statistical method depends on the following three things: Aim and objective of the study, Type and distribution of the data used, and Nature of the observations (paired/unpaired).
Which test should I use?
Choosing a nonparametric test
| Predictor variable | Use in place of… | |
|---|---|---|
| Chi square test of independence | Categorical | Pearson’s r |
| Sign test | Categorical | One-sample t-test |
| Kruskal–Wallis H | Categorical 3 or more groups | ANOVA |
| ANOSIM | Categorical 3 or more groups | MANOVA |
How do we test for independence between two continuous variables?
Independence two jointly continuous random variables X and Y are said to be independent if fX,Y (x,y) = fX(x)fY (y) for all x,y. It is easy to show that X and Y are independent iff any event for X and any event for Y are independent, i.e. for any measurable sets A and B P( X ∈ A ∩ Y ∈ B ) = P(X ∈ A)P(Y ∈ B).
What statistical techniques test the relationship between two continuous variables?
For the first of these, the statistical method for assessing the association between two continuous variables is known as correlation, whilst the technique for the second, prediction of one continuous variable from another, is known as regression.
What statistical test should I use to compare two groups?
The two most widely used statistical techniques for comparing two groups, where the measurements of the groups are normally distributed, are the Independent Group t-test and the Paired t-test. The Independent Group t-test is designed to compare means between two groups where there are different subjects in each group.
When do we use chi-square test?
A chi-square test is a statistical test used to compare observed results with expected results. The purpose of this test is to determine if a difference between observed data and expected data is due to chance, or if it is due to a relationship between the variables you are studying.
What statistical analysis should be used if the variables are both nominal?
Crosstabulation (also known as contingency or bivariate tables) is commonly used to examine the relationship between nominal variables Chi Square tests-of-independence are widely used to assess relationships between two independent nominal variables.
What are the types of regression analysis with continuous dependent variables?
Regression Analysis with Continuous Dependent Variables 1 Linear regression. OLS produces the fitted line that minimizes the sum of the squared differences between the data points and the line. 2 Advanced types of linear regression. Linear models are the oldest type of regression. 3 Nonlinear regression.
What are the dependent and independent variables in this study?
The independent variables are of continuous, categorical and binary types, while the dependent variables are in this case all categorical (Likert scale). If possible, I would like to find a single model to analyse each hypothesis, but I’m having a hard time figuring out if there is any statistics available to fit my needs.
What is an independent samples t-test and how to use it?
An independent samples t-test is used when you want to compare the means of a normally distributed interval dependent variable for two independent groups. For example, using the hsb2 data file, say we wish to test whether the mean for write is the same for males and females. t-test groups = female (0 1) /variables = write.
How do you determine which statistical test to use?
To determine which statistical test to use, you need to know: whether your data meets certain assumptions. the types of variables that you’re dealing with.