Exercise 1. For the cereal dataset, identify one variable that is approximately normally distributed.

1. Construct a histogram for at least two variables and describe the shape of the distribution.
2. Construct at least two box-and-whisker plots. Compares to your box plot to your histogram in part a.
3. Find the skewness and kurtosis of the two variables. Do your results support your observations in part a and b.
4. Construct a normal probability plot (also known as normal Q-Q plot) and perform tests of normality (K-S test or S-W test) using SPSS.
5. Determine whether it is reasonable to think that the population from which the data come is normally distributed. Explain.