# PSY 2007 Assignment Application of T-tests

## PSY 2007 Assignment Application of T-tests

PSY 2007 Assignment Application of T-tests

Performed the following:

Part I
Determined whether an individual’s political affiliation affects his or her overall satisfaction with the economy. Analyzed any potential differences by conducting the appropriate type of t-test.

Used the proper df and provided all the steps of calculations, including the test statistic.

Included an explanation of how the critical value was determined. Explained why you chose that specific t-test.

Part II

Selected subjects with affiliation to one of the political parties or who have declared themselves as Independents and determined whether there is a difference between their satisfaction with their jobs and their satisfaction with their incomes.

Used the proper df and provided all the steps of calculations, including the test statistic.

PSY 2007 Assignment Application of T-tests

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Included an explanation of how the critical value was determined. Explained why you chose that specific t-test.

Interpreted the results of the analyses, focusing on the similarities and differences between using a paired t-test and an independent t-test.

Student’s t test (t test), analysis of variance (ANOVA), and analysis of covariance (ANCOVA) are statistical methods used in the testing of hypothesis for comparison of means between the groups. The Student’s t test is used to compare the means between two groups, whereas ANOVA is used to compare the means among three or more groups. In ANOVA, first gets a common P value. A significant P value of the ANOVA test indicates for at least one pair, between which the mean difference was statistically significant. To identify that significant pair(s), we use multiple comparisons. In ANOVA, when using one categorical independent variable, it is called one-way ANOVA, whereas for two categorical independent variables, it is called two-way ANOVA. When using at least one covariate to adjust with dependent variable, ANOVA becomes ANCOVA. When the size of the sample is small, mean is very much affected by the outliers, so it is necessary to keep sufficient sample size while using these methods.

Student’s t test (t test), analysis of variance (ANOVA), and analysis of covariance (ANCOVA) are statistical methods used in the testing of hypothesis for comparison of means between the groups. For these methods, testing variable (dependent variable) should be in continuous scale and approximate normally distributed. Mean is the representative measure for normally distributed continuous variable and statistical methods used to compare between the means are called parametric methods. For non-normal continuous variable, median is representative measure, and in this situation, comparison between the groups is performed using non-parametric methods. Most parametric test has an alternative nonparametric test.[,,]

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