• 1.

  Ready to use
  Choosing whether given random variables are qualitative or quantitative.
• 2.

  Ready to use
  Deciding whether or not three sampling methods are simple random sampling, stratified sampling, systematic or judgemental sampling. 
• 3.

  draft
  Given sample data find mean, standard deviation, median, interquartile range,
• 4.

  Ready to use
  Finding probabilities from a survey giving a table of data on the alcohol consumption of males. This can be easily adapted to data from other types of surveys.
• 5.

  Ready to use
  Given mean and sd of 1000 sample returns on a scale of 1 to 7 together with a given score, find the z-score. Also find the 95% confidence interval for the population mean.
• 6.

  Doesn't work
  Given data on population mean and population standard deviation and three sampling sizes, calculate the probabilities that the sample means are within a specified distance from the population mean.
• 7.

  draft
  Finding the confidence interval at either 90%, 95% or 99% for the mean given the mean and standard deviation of a sample. The population variance is not given and so the t test has to be used. Various scenarios are included.
• 8.

  Ready to use
  Finding the confidence interval at either 90%, 95% or 99% for the mean given the mean of a sample. The population variance is given and so the z values are used. Various scenarios are included.
• 9.

  draft
  One-way ANOVA example
• 10.

  draft
  Paired t-test to see if there is a difference between times take in a task.
• 11.

  draft
  Given two sets of data, sample mean and sample standard deviation, on performance on the same task, make a decision as to whether or not the mean times differ. Population variance not given, so the t test has to be used in conjunction with the pooled sample standard deviation. Link to use of t tables and p-values in Show steps.
• 12.

  draft
  Provided with information on a sample with sample mean and standard deviation, but no information on the population variance, use the t test to either accept or reject a given null hypothesis.
• 13.

  draft
  Find a regression equation given 12 months data on temperature and sales of a drink. 
• 14.

  draft
  Interpreting the minitab output from a logistic regression model of salary against obesity as measured by BMI.
• 15.

  draft
  Asking users to interpret a minitab output to give the coefficients of a multiple regression together with a prediction based on the subsequent equation.
• 16.

  Ready to use
  Find a regression equation.
• 17.

  draft
  A multiple linear regression model of the form: $$Y=\beta_0+\beta_1X_1+ \beta_2X_2+\beta_3X_3+\beta_4X_4+\epsilon$$ is fitted to some data in Minitab which generates a table showing estimates of the parameters with associated $p$-values. Determine which variable to exclude first.
• 18.

  Ready to use
  Centred moving averages.
• 19.

  Ready to use
  Moving averages, regression and seasonal adjustments.
• 20.

  draft
  Minitab was used to fit both an AR(1) model and an AR(2) to a stationary series. A  table is given summarising the results obtained from Minitab. Choose the most appropriate model and make a forecast based on that model.
• 21.

  draft
  Minitab was used to fit an AR(1) model to a stationary time series. Given the output answer the following questions about the model and use the model to make forecasts.

There are no questions in this group.