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17 Cards in this Set

  • Front
  • Back
Tests for _______data can be described as "non parametric alternatives" to specific parametric tests.
Ordinal
The Mann-Whitney U Test is the non parametric alternative for _________________.
T-test for independent samples.
The Wilcoxon is the non-parametric alternative for_____________.
T-test for correlated samples.
The Kruskal-Wallis is the non-parametric alternative to the ___________.
One way anova.
The ___________ and ____________ are the most commonly used inferential statistical tests used for variables measured on an interval or ratio scale.
Student's T-test and Analysis of variance.
There are 3 forms of t-tests _________, _______________, and ___________.
T-test for single sample.
T test for independent sample
T test for correlated samples.
_______________ is an appropriate statistical test when a study includes two independent groups and the means of the two groups will be compared.
Students t-test for independent samples.
T test for a single sample is used when a study includes _______ group and the group mean will be compared to a known ________ mean.
One
Population
The t-test for _____________ samples is used when the two means to be compared come from correlated groups.
Correlated
A t-test is used to compare only _________ means at a time.
two
The ______________ is used to compare ________ or more means.
Analysis of Variance
Two
An advantage of the ANOVA is that it simultaneously makes all comparisons of group means while holding the probability of making a _____________ at the level of significance set by the investigator.
Type I Error
The ____________ is used when a study includes one IV and two or more independent groups and one DV that is measured on an interval or ratio scale.
One way anova
The ________ is a test statistic produced by the ANOVA.
F-ratio
Numerator and denominator of the F-ratio
MSB/MSW
MSB-MEan Square Between
MSW-Mean Square Within
What is MSB
Mean Square Between, a measure of variability between treatment groups and serves as an estimate of variability due to both error and the effects of the independent variable.
What is MSW
pooled measure of variability within each of the treatment groups. It represents a measure of variability for subjects who have been treated alike and provides an estimate of variability that is due to error only.