Template problems are statistics course "classics." Problems like these appear in virtually every first course in statistics.
Computing mean and standard deviation from sum and sum of squares
Probabilities related to two events
Conditional and total probability setup, with Bayes-type calculations
Discrete random variables, "at least one" problems
Standard Normal (mu = 0, sigma = 1) table
Central Limit theorem for averages
Central Limit theorem for totals
Facts from the analysis of variance table
Analysis of variance fill-in problem
The confidence interval for the binomial p
Paired-sample t test
Chi-squared test for two binomials