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Flashcards covering key definitions, formulas, hypotheses, and assumptions for the paired t-test and Chi-Squared Goodness-of-Fit test from Week 11.
Observations are paired when each value in one sample is __________ to a value in the other sample.
linked
A common mistake when analyzing paired data is treating the paired data as __________ samples.
independent
In a paired t-test, the null hypothesis is specified as H0:__________.
μd=0
For the paired t-test alternative hypothesis H1:μd>0, the Excel function used to compute the p-value is __________.
T.DIST.RT()
The test statistic for a paired t-test, t=sd/ndˉ−μd, follows a t-distribution with __________ degrees of freedom.
n−1
The paired t-test is fundamentally concerned with the __________, not whether every individual improves.
average difference
When calculating a paired t confidence interval for μd with small sample sizes (n), we assume that the distribution of the differences is approximately __________.
normal
In a Goodness-of-Fit test, observed frequencies (O) are defined as the __________ recorded in each category.
actual number of observations
The formula for the Chi-Squared Goodness-of-Fit test statistic is D2=∑i=1k__________.
Ei(Oi−Ei)2
The Chi-Squared Goodness-of-Fit statistic D2 follows a χ2 distribution with __________ degrees of freedom, where k is the number of categories and d is the number of parameters estimated from the data.
k−d−1
In a Goodness-of-Fit test, a small test statistic D2 indicates that the sample data are a __________ to what we would expect if H0 were true.
good fit
The decision rule for a Goodness-of-Fit test states that we reject H0 if D2>χα,df2 or if p-value<__________.
α
A critical assumption of the Goodness-of-Fit test is that each expected frequency must satisfy Ei≥__________.
5
While the paired t-test is designed for numerical data, the Goodness-of-Fit test is applied to __________ data.
categorical