Exam 1 Study Guide: Chapters 1-6

  1. Identify the context of the data. Context involves the who, what, where, when, why, and how. For each variable (what), tell whether the variable is categorical or quantitative and give the units for all quantitative variables. Look at problems 2.2-21
  2. Identify the context of the data. See description for problem 1.
  3. Categorical data. Be able to read a frequency table and answer questions based on it. Be able to construct a pie chart or bar chart by hand. Look at problems 3.5-13
  4. Contingency table. Be able to find percents, marginal distributions, conditional distributions. Look at problems 3.14-31.
  5. Tell whether you would expect the distribution to be uniform, unimodal, or bimodal. Tell if you expect it to be symmetric or skewed. Look at problems 4.3-4.
  6. Given a set of summary statistics, construct a box plot. Look at problems 5.23-26, 32
  7. Look at a histogram and describe what makes it difficult to summarize or discuss its center and spread. Look at two other histograms after re-expressing the data. Decide which is the best transformation to use. Decide what a transformed value means in terms of the original data (undo the transformation). Look at problem 4.33
  8. Read and interpret an ogive. Look at problems 5.29-30
  9. Draw and label a figure that illustrates the Normal model and the 68-95-99.7 rule. Label the axes with the appropriate values based on the mean and standard deviation for the model. Answer questions about what percent of the values lie in certain regions based on the 68-95-99.7 rule. Look at problems 6.11-12
  10. A standard normal model is given. Find the percent of the area in each region. Draw a figure and shade the region, first. Look at problems 6.19-20.
  11. Find the missing parameter from the Normal model. Look at problems 6.23-24.


Points per problem

# 1 2 3 4 5 6 7 8 9 10 11 Total
Pts 7 7 10 10 12 6 10 8 12 12 6 100