Psychology - Methods - Test types

Which one of these is the calculated value for the Mann Whitney test?

Does a Mann Whitney test, test for association?

Which of these is the criteria for a Mann Whitney test?

For a Mann Whitney test... If the calculated/observed value is equal to or [blank_start]less than[blank_end] critical value then the difference between the 2 sets of scores is significant – the null hypothesis is [blank_start]rejected[blank_end] and the alternate hypothesis [blank_start]accepted[blank_end].

For the Mann Whitney test, N1 & N2 are the number of scores in the smaller and larger group respectively

The Wilcoxon test produces a calculated value of [blank_start]T[blank_end]

With the Wilcoxon test, N = The number of participants. This includes those who had the same scores - True or false?

The criteria for Wilcoxon is [blank_start]ordinal[blank_end]/[blank_start]interval data[blank_end] and [blank_start]repeated measures[blank_end]/[blank_start]matched pairs[blank_end].

For the Wilcoxon test: If the calculated/observed value is equal to or [blank_start]less than[blank_end] critical value then the difference between the 2 sets of scores is [blank_start]significant[blank_end] – the [blank_start]null hypothesis[blank_end] is rejected and the [blank_start]alternate hypothesis[blank_end] accepted.

Is the Chi squared test a test of association?

The calculated value produced by a Chi squared test is...

The criteria for a Chi squared test is the use of [blank_start]nominal[blank_end] data and [blank_start]independent measures[blank_end]

For the Chi squared test, the degree of freedom (df) is calculated using: (No. of rows in table - 1) x (No. of columns - 1) True or False?

For a Chi squared test: - If calculated value is equal or [blank_start]higher than[blank_end] the critical value, then the association is significant – so null hypothesis is rejected and the alternate hypothesis accepted.

Does a Sign test, test whether there is a significant difference between 2 sets of data?

What is the calculated value produced by a sign test?

The criteria for a sign test is the use of [blank_start]nominal[blank_end] data and [blank_start]repeated measures[blank_end].

For a Sign test, if the calculated value is equal to or [blank_start]less[blank_end] than the critical value then the difference between the 2 sets of scores is significant - the null hypothesis is [blank_start]rejected[blank_end] and the alternate hypothesis [blank_start]accepted[blank_end].

For a Sign test, N= No. of participants (counting all participants even if they had the same score in both data sets) True or false?