These are the statements describing what students need to learn:
- understand and apply the language of statistical hypothesis testing, developed through a binomial model: null hypothesis, alternative hypothesis, significance level, test statistic, 1-tail test, 2-tail test, critical value, critical region, acceptance region, p-value; extend to correlation coefficients as measures of how close data points lie to a straight line. and be able to interpret a given correlation coefficient using a given p-value or critical value (calculation of correlation coefficients is excluded)
- conduct a statistical hypothesis test for the proportion in the binomial distribution and interpret the results in context. Understand that a sample is being used to make an inference about the population and appreciate that the significance level is the probability of incorrectly rejecting the null hypothesis
- conduct a statistical hypothesis test for the mean of a Normal distribution with known, given or assumed variance and interpret the results in context
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The students numbered 1 to 8 should sit on the chairs so that no two consecutively numbered students sit next to each other. So far this activity has been accessed 53575 times and 662 Transum Trophies have been awarded for completing it.
