A simple quantitative data set has been provided. Use limit grouping with a first class of 0–4 and a class width of 5 to complete parts​ (a) through​ (d) for this data set. 10 17 28 20 19 13 6 8 16 28 27 7 28 21 0 15 20 12 22 13 a. Determine a frequency distribution.   Class Frequency 0–4                       a. Determine a relative frequency   Class Relative Frequency 0–4

Recall that a relative frequency histogram is used to graph quantitative data. Classes are chosen to divide the range of values into equal-length subintervals, then plotted along the horizontal axis. A bar is drawn for each class with height equal to the relative frequency for that class. To create a relative frequency histogram, first summarize the following data in a frequency table. 1 N 2 3 4 5 6 7 Class Class Boundaries 8 9 1.3 10 11 14.7 9.0 16.7 4.1 14.9 4.4 2.7 32.3 10.9 9.0 9.0 1.6 18.4 1.0 2.4 2.4 18.0 Since the measurements are all between the values 0 and 33, it will be convenient to choose 11 class intervals of length 3. Using the given data, tally the values within each class interval to determine the frequency of each class, and fill in the following table. 0 to <3 3.5 11.2 18.0 26.7 3.7 3 to 6 6 to 9 9 to 12 12 to < 15 15 to 18 18 to 21 21 to 24 24 to 27 0.2 6.1 13.5 27 to < 30 30 to 33 7.4 8.2 19.2 1 1 2 1 Frequency 10 5 1 4 1 X X 9.4 X 8.7 X 2.0 6.6 3.9 5.9 4.3 3.3 0.2…

The following are goals scored by a soccer team at each game in their recent season. 00 0 0 1 1 1 1 1 1 2 2 2 5 0 Complete the relative frequency table. Goals Frequency 1 2 3 4 0 0 1 1 3 5 1 1 1 3 4 4 6 11 3 2 2 1 Relative Frequency

Here are some ratings of the K-12 education system, on a scale from 1 to 10. 8. 5 8 7 7 4 8. 7 1 10 4 7 7 7 4 6 8 7 10 5 8. 7 10 10 7 7 0. Find the minimum and maximum of the data. 1. Make a frequency table of the data, with single digit intervals. 2. Create a histogram of the data from the frequency table.