This exercise asks you to perform a simulation to test a hypothesis about a population proportion, π.
This exercise is similar but the simulation is from a normal population and tests the value of its mean, µ.
The exercise in this page asks you to use a binomial distribution to perform a hypothesis test about a population proportion and interpret the results.
The exercise in this page uses a normal approximation to find the p-value for the above test.
The p-value is found more accurately if a continuity correction is used with a normal distribution. This exercise is similar to the previous one but requires use of a continuity correction.
This exercise asks you to perform a hypothesis test about the mean of a normal population whose standard deviation, σ, is known. The hypotheses must be specified, a z-score evaluated, the p-value found and the conclusion given.
In this exercise, the population standard deviation is unknown, so the test statistic must use the sample standard deviation and the p-value must be looked up from a t distribution.
The two exercises on this page give p-values for hypothesis tests and ask you to pick the correct conclusion from the test. The first exercise has options in terms of the strength of evidence against the null hypothesis; the second is harder with options referring to the alternative hypothesis also.
This exercise gives the p-value for a test and asks you to pick the correct conclusion, worded in terms of the problem context.
This exercise is similar to the previous one but the wordings of the conclusions are harder.