Statistic

 Definition

 A cumulative frequency distribution gives the total number of values that fall below the upper boundary of each class.

Example 2-7

 Using the frequency distribution of Table 2.10, reproduced in the next slide, prepare a cumulative frequency distribution for the home runs hit by Major League Baseball teams during the 2002 season.

Example 2-7

Total Home Runs

f

124 – 145

146 – 167

168 – 189

190 – 211

212 – 233

6

13

4

4

3

Solution 2-7

Table 2.14 Cumulative Frequency Distribution of Home Runs by Baseball Teams

Class Limits

Class Boundaries

Cumulative Frequency

124 – 145

124 – 167

124 – 189

124 – 211

124 – 233

123.5 to less than 145.5

123.5 to less than 167.5

123.5 to less than 189.5

123.5 to less than 211.5

123.5 to less than 233.5

6

6 + 13 = 19

6 + 13 + 4 = 23

6 + 13 + 4 + 4 = 27

6 + 13 + 4 + 4 + 3 = 30

     

CUMULATIVE FREQUENCY DISTRIBUTIONS cont.

 Calculating Cumulative Relative Frequency and Cumulative Percentage.

  • Cumulative relative frequency = Cumulative Frequency of a class / Total observations in the date set
  • Cumulative percentage = (Cumulative Relative frequency) .100

Table 2.15 Cumulative Relative Frequency and    Cumulative Percentage Distributions for     Home Runs Hit by baseball Teams.

Class Limits

Cumulative

Relative Frequency

Cumulative Percentage

124 – 145

124 – 167

124 – 189

124 – 211

124 – 233

6/30 = .200

19/30 = .633

23/30 = .767

27/30 = .900

30/30 = 1.00

20.0

63.3

76.7

90.0

100.0

CUMULATIVE FREQUENCY DISTRIBUTIONS cont.

 Definition

 An ogive is a curve drawn for the cumulative frequency distribution by joining with straight lines the dots marked above the upper boundaries of classes at heights equal to the cumulative frequencies of respective classes.

Figure 2.12 Ogive for the cumulative frequency distribution in Table 2.14