a.True / False The 2 Sample T-Test is resistant to outliers.

b.True / False For a fixed , the quantile will never be greater than the quantile , no matter the degrees of freedom.

c.True / False For a two-sided, two sample t-tools pooled confidence interval for the difference in means (₁-₂), if both ends of the confidence interval are negative, that is evidence that ₁ > ₂

d.True / False The Rank-Sum test can be applied when the two groups have different standard deviations.

e.True / False We wish to test the equality of 3 group means, if the normality assumption is met, the ANOVA is robust to the standard deviation assumption as long as the sample sizes of the groups are the same.

f.True / False In an observational study the result cannot be generalized to the population the sample is taken from.

g.True / False For a two independent sample t-test, holding the alpha, effect size and sample standard deviation constant, if we increase the sample size, the power of the test increases as well.

h.True / False Adding an interaction term between a categorical and continuous variable allows the possibility for different slopes for different levels of the categorical variable.

i.True / False We will need k-1 indicator variables to code a categorical variable with k levels.

j.True / False A lower AIC indicates a more appropriate model.

k.True / False In regression, for a fixed value of the explanatory variable, the prediction interval for the response can be narrower than the confidence interval.