The reason that means that appear to be not so close could be concluded to be statistically the same is due to the variance.
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Q1: The independent samples t-test tests the differences
Q5: To use the chi-square test,both variables in
Q9: The degrees of freedom are calculated asd.f.=
Q10: A paired-sample t-test is an appropriate test
Q11: Tests are bivariate tests of differences when
Q11: The t-test for comparing the means of
Q13: The t-test assumes that the two population
Q14: A cross-tabulation is a simple way to
Q17: When no direction of a relationship is
Q19: The first basic step in interpreting t-test
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