PUB550 Topic 3 DQ 1

PUB550 Topic 3 DQ 1 for $8 Only

PUB550 Topic 3 DQ 1

Discuss the four potential outcomes of hypothesis testing and describe what is meant by type 1 and type 2 errors. Provide an example of when these errors might occur.

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Exercise 29 t-Test For Independent Groups I

Exercise 29 t-Test For Independent Groups I in $14 OnlyExercise 29 t-Test For Independent Groups I

STATISTICAL TECHNIQUE IN REVIEWThe t-test is a parametric analysis technique used to determine significant differences between the scores obtained from two groups. The t-test uses the standard deviation to estimate the standard error of the sampling distribution and examines the differences between the means of the two groups. Since the t-test is considered fairly easy to calculate, researchers often use it in determining differences between two groups. When interpreting the results of t-tests, the larger the calculated t ratio, in absolute value, the greater the difference between the two groups. The significance of a t ratio can be determined by comparison with the critical values in a statistical table for the t distribution using the degrees of freedom (df) for the study. The formula for df for an independent t-test is:

df =  number of sobjects in sample 1 +  number of subjects in sample 2 – 2