Question

# Match the terms with their definitions. Most of this information is from the chapters you have...

Match the terms with their definitions. Most of this information is from the chapters you have read in Cronk so far. They can also be found in various places throughout your textbook.

Answer Choose...Paired-samples t test, Inferential statistics, Descriptive statistics, Non-parametric inferential statistical procedures, Chi-square, Correlation, Independent-samples t test, Parametric inferential statistical procedure

1) This parametric statistical procedure is used when you have a dependent variable that is interval (1, 2, 3, 4, .....and so on), and an independent variable that is dichotomous (1=yes, 2=no for example). This tests compares the means (averages) of two samples and tells you if there are statistically significant differences between the two samples.

 2) This statistical test determines the strength of a linear relationship between two variables. It measures the degree of relatedness and the direction of the relationship. It is a measure of "effect size" (effect size is from chp 21) 3) This parametric statistical procedure is used when you have scores from two points in time (pre-test and post-test), and the dependent variable is interval level. this test indicates whether there is a statistically significant difference in mean (average) scores between time 1 (pretest) and time 2 (posttest)). 4) When you can assume that a variable is normally distributed in a population and the dependent variable of interest is an interval level variable (measured continuously with one meaning one and two meaning two etc.) these types of statistical tests are used

1.Independent T test- since the dependent variable is an interval variable and the dependent variable has 2 levels yes and no.

2. correlation coefficient, can take a range of values from +1 to -1. A value of 0 indicates that there is no association between the 2 variables.According to Cohen (1988, 1992), the effect size is low if the value of rvaries around 0.1, medium if r varies around 0.3, and large if r varies more than 0.5.

3.Paired - samples t test -  In a paired sample t-test, each subject is measured twice, resulting in pairs of observations once pre- test and then post- test

4.Parametric tests- requires data to be interval or ratio, data should be normally distributed and sample size should be large enough.