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BUS 367 FINAL CH. 15
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Terms in this set (16)
tests of differences
an investigation of a hypothesis stating that 2 (or more) groups differ with respect to measures of another variable
one variable often acts like a dependent variable while a classification or grouping variable acts as an independent variable
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often researchers are interested in testing differences in mean scores between groups or in comparing the distribution showing how two groups' scores vary across response categories
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the answers to these two questions make finding an appropriate analytical approach easy:
-how many independent variables and dependent variables are involved in the analysis?
-what is the scale level of the independent and dependent variables involved in the analysis?
cross tabulations can be very useful in big data analytics
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if the researcher's hypothesis is true, the frequencies shown in the contingency table should not resemble a random distribution
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independent samples t test
a test for hypothesis stating a difference in means of an at least interval dependent variable divided into two groups formed based on some less than interval classificatory variable
pooled estimate of the standard error
better estimate of the standard error than one based on the variance from either sample
paired sample t test
an appropriate test for comparing the scores of two interval variables drawn from related populationd
z test for differences of proportions
a technique used to test the hypothesis that proportions are significantly different for two independent samples or groups
analysis of variance (ANOVA)
analysis involving the investigation of the effects of one treatment variable on an interval scaled dependent variable
a hypothesis testing technique to determine whether statistically significant differences in means occur between two or more groups
grand mean
mean of a variable over all observations
between groups variance
sum of differences between the group means and the grand mean sum over all groups for a given set of observations
within group error or variance
sum of the differences between observed values and the group mean for a given set of observations
total error variance
f test
a procedure used to determine whether there is more variability in the scores of one sample than in the scores of another sample
general linear model
a way of explaining and predicting a dependent variable based on fluctuations from its mean
fluctuations are due to changes in independent variable
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