CHAPTER 22 PRACTICE TEST

As a study aid, we have included complete solutions for each Practice Test problem at the end of this book.

  1. Of the 32 injuries that happened at a factory in a certain year, 14 were hand injuries, 8 were back injuries, 6 were eye injuries, and 4 were other injuries. Make a bar graph of these data.

In Problems 24, use the following set of numbers.

5 ,  6 ,  1 ,  4 ,  9 ,  5 ,  7 ,  3 ,  8 ,  10 ,  5 ,  8 ,  4 ,  9 ,  6
  1. Find the median.

  2. Find the mode.

  3. Draw a histogram using class limits of 1, 3, 5, … , 11.

  4. The amounts of energy produced by a solar panel on a sample of 10 days are given below. Make a stem-and-leaf plot of the data.

    9.48.510.79.67.28.78.29.17.99.4

In Problems 68, use the following data. The thickness of 100 machine parts were measured (to the nearest 0.01 in.) and the grouped data is shown below:

Thickness (in.) 0.90 0.91 0.92 0.93 0.94 0.95 0.96
Number 3 9 31 38 12 5 2
  1. Find the mean.

  2. Find the standard deviation.

  3. Make a relative frequency table.

In Problems 911, use the following information. At a certain customer call-in center, the customer hold time is normally distributed with a mean of 5.2 min and a standard deviation of 1.4 min.

  1. According to the empirical rule, what percentage of hold times are between 3.8 min and 6.6 min?

  2. Find and interpret the z-score of a hold time of 8.7 min.

  3. What percent of hold times are less than 7.3 min?

  4. Each hour, for 20 consecutive hours, a sample of 5 M&M packets are randomly selected and their weights are measured. Explain how these data can be used to make an R control chart.

  5. Find the equation of the least-squares line for the points indicated in the following table. Graph the line and data points on the same graph.

    x 1 3 5 7 9
    y 5 11 17 20 27
  6. The period of a pendulum as a function of its length was measured, giving the following results:

    Length (ft) 1.00 3.00 5.00 7.00 9.00
    Period (s) 1.10 1.90 2.50 2.90 3.30

    Find the equation of the power regression model for these data.

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