Question

Match the terms with their definitions. Paired sample T test, Inferential statistics, descriptive statistics, Non-parametic inferential statistical procedures, Chi-square, Correlation, Independant-samples T test, Parametric inferential statistical procedures 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
5) These are used when you are using a sample to test a hypothesis about a population.
6) This non-parametric statistical procedure is used when you have a dependent variable that is either dichotomous, categorical, or ordinal and an independent variable that is dichotomous, categorical or ordinal. The results tell you whether the observed sample data is the same as what you would expect (the expected data), if the two variables are not associated.
7) When you cannot assume that a variable is normally distributed in a population and the dependent variable of interest is not an interval level variable but rather a dichotomous (ie 1=yes or 2=no; 1=male or 2=female), categorical (ie1=cats, 2=dogs, 3=birds), or ordinal (ie 1=never, 2=sometimes, 3=often, 4=always) with the numbers only used to represent categories, these types of statistical tests are used
8) The procedures used to describe and summarize data

Answer 1

1.Independent sample t-test.-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.Correlation.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".

3.Paired sample t-test.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.Parametric statistical procedure.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.

5.Inferential statistics.These are used when you are using a sample to test a hypothesis about a population.

6.Chi square test.This non-parametric statistical procedure is used when you have a dependent variable that is either dichotomous, categorical, or ordinal and an independent variable that is dichotomous, categorical or ordinal. The results tell you whether the observed sample data is the same as what you would expect (the expected data), if the two variables are not associated.

7.Non-parametic inferential statistical procedures.When you cannot assume that a variable is normally distributed in a population and the dependent variable of interest is not an interval level variable but rather a dichotomous (ie 1=yes or 2=no; 1=male or 2=female), categorical (ie1=cats, 2=dogs, 3=birds), or ordinal (ie 1=never, 2=sometimes, 3=often, 4=always) with the numbers only used to represent categories, these types of statistical tests are used

8.Descriptive statistics.The procedures used to describe and summarize data