Exam 1 Study Guide: Chapters 1-2

  1. Identify the level of measurement described. Eight parts. Look at problems 1.2.9-16 and the chapter 1 homework.
  2. Determine whether or not the graph or chart is appropriate for the type of data described. For example, is a pie chart appropriate when more than one category can be selected? Is a histogram appropriate for two related numerical variables? Eight parts.
  3. Identify the type of sampling used. Twelve parts. Look at problems 1.4.9-20 and the chapter 1 homework.
  4. A graph is given. Use it to answer the questions.
  5. Complete the data set so that it satisfies the given characteristics. You'll need to know the definitions of mean, median, and mode to do this. For example, if the mean is 20 and the first three numbers are 10, 12, and 45, what is the fourth number? Three parts.
  6. A mean and standard deviation are given. Label a bell curve to demonstrate the 68-95-99.7 rule.
  7. Look at a histogram where the bars are one standard deviation wide. Determine the percent of the data that lies within one, two, and three standard deviations of the mean and whether or not 68-95-99.7 rule applies. Chebyshev's Rule is stated, see if your data follows that rule. Look at questions 3 and 4 on classroom activity 1.
  8. The mean, median, range, standard deviation, and variance for a dataset are given. Determine what those statistics will be after the indicated transformation is applied. Five translations. Look at the chapter 2 homework.
  9. Given a small set of data values, find the mean, median, mode, midrange, variation, variance, and standard deviation. Look at problems 2.4.1-8, 2.5.1-8, the chapter 2 homework, and classroom activity 2.
  10. Be able to take a statistical formula and plug the values into it to evaluate it. In addition, you should know the formula for finding the mean.
  11. A set of data is given. Find the five number summary for the data and use it to draw a box plot. Find the range and interquartile range. Use the given instructions to see what values are normal and which ones are unusual.
  12. A frequency table is given. Convert the frequencies into percents and find the cumulative percents. Then create a pie chart from the data.


Points per problem

# 1 2 3 4 5 6 7 8 9 10 11 12 Total
Pts 16 16 12 6 8 6 10 25 16 6 17 12 150