Exam 1 Study Guide: Chapters 1-2

  1. For each variable, decide whether it is categorical (qualitative) or numerical (quantitative), the level of measurement (nominal, ordinal, interval, or ratio), and if it is numerical, whether it is discrete or continuous. Seven parts. Look at problems 1.2.5-16.
  2. You are given a raw score, the mean, and standard deviation. Find the standardized score. Look at problems 2.6.5-8.
  3. You are given a standardized score, the mean, and standard deviation. Find the raw score. Look at problem 2.6.38
  4. Categorical data. Be able to read a frequency table and answer questions based on it. Be able to construct a pie chart or Pareto chart by hand. Look at problems 2.3.21-24.
  5. Summarized data (the output from Minitab) is given. Use that information to find the range, variance, interquartile range. Draw and label a box plot.
  6. 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, and activity 2.
  7. Read and interpret an ogive.
  8. Identify the type of sampling used. Ten parts. Look at problems 1.4.9-20.
  9. 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 5 and 6 on classroom activity 1.
  10. 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 parts. Look at question 1 on the chapter 2 technology exercise.
  11. 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. Six parts.
  12. Create a five number summary for a set of data. Remember that the data must be sorted before finding measures of position.
  13. Create a stem and leaf display for a set of data. You may want to do this in two charts since the stems should be sorted in the final display.

Notes

Points per problem

# 1 2 3 4 5 6 7 8 9 10 11 12 13 Total
Pts 21 3 3 5 6 14 4 10 5 15 6 4 4 100