In many cases, variables follow a distribution that falls off symmetrically to either side of a central maximum. Examples include heights of girls of the same age, lengths of parts produced by a machine, or blood pressures of a sample of patients. The British statistician Karl E. Pearson (1857-1936) suggested calling this curve the "normal distribution." a) Suggest a practical example of a variable that you think should follow a normal distribution. b) Search the Internet for measured values of your choice. c) Copy the values into an appropriate technology. d) Determine the mean and standard deviation of the data. e) Select a value and determine the z-score for that value. f) Determine the probability that the variable has a value greater than or equal to the value chosen in part e)