Consider the following frequency distribution:
Interval Frequency
1,000 < x ≤ 1,100 22
1,100 < x ≤ 1,200 38
1,200 < x ≤ 1,300 44
1,300 < x ≤ 1,400 16

a.) Construct the relative frequency distribution. What proportion of the observations are more than 1,100 but no more than 1,200?

b.) Construct the cumulative frequency distribution. How many of the observations are 1,300 or less?

c.) Construct the cumulative relative frequency distribution. What proportion of the observations are 1,300 or less? More than 1,300?

Sample Answer

Sample Answer

a) Relative Frequency Distribution:

Interval Frequency Relative Frequency 1,000 < x ≤ 1,100 22 22/120 = 0.1833 1,100 < x ≤ 1,200 38 38/120 = 0.3167 1,200 < x ≤ 1,300 44 44/120 = 0.3667 1,300 < x ≤ 1,400 16 16/120 = 0.1333

The proportion of observations that are more than 1,100 but no more than 1,200 is 0.3167.

b) Cumulative Frequency Distribution:

Interval Frequency Cumulative Frequency 1,000 < x ≤ 1,100 22 22 1,100 < x ≤ 1,200 38 22 + 38 = 60 1,200 < x ≤ 1,300 44 60 + 44 = 104 1,300 < x ≤ 1,400 16 104 + 16 = 120

There are 120 observations that are 1,300 or less.

c) Cumulative Relative Frequency Distribution:

Interval Frequency Cumulative Relative Frequency 1,000 < x ≤ 1,100 22 22/120 = 0.1833 1,100 < x ≤ 1,200 38 (22 + 38)/120 = 0.5 1,200 < x ≤ 1,300 44 (22 + 38 + 44)/120 = 0.8667 1,300 < x ≤ 1,400 16 (22 + 38 + 44 + 16)/120 = 1

The proportion of observations that are 1,300 or less is 0.8667. The proportion of observations that are more than 1,300 is 1 – 0.8667 = 0.1333.

 

 

 

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