Statistic

ORGANIZING AND GRAPHING QUANTITATIVE DATA

  1. Frequency Distributions
  2. Constructing Frequency Distribution Tables
  3. Relative and Percentage Distributions
  4. Graphing Grouped Data
  • Histograms
  • Polygons

Frequency Distributions

Table 2.7 Weekly Earnings of 100 Employees of a Company.

Frequency Distributions cont.

 Definition

 A frequency distribution for quantitative data lists all the classes and the number of values that belong to each class. Data presented in the form of a frequency distribution are called grouped data.

 Definition

 The class boundary is given by the midpoint of the upper limit of one class and the lower limit of the next class.

Finding Class Width

Class width = Upper boundary – Lower boundary

Calculating Class Midpoint or Mark

Class Mid pointer mark =  Lower limit + Upper limit / 2

Calculation of Class Width

Approximate class width = Largest Value – Smallest value / Number of classes

Table 2.8 Class Boundaries, Class Widths, and Class Midpoints for Table 2.7

Class Limits

Class Boundaries

Class Width

Class Midpoint

401 to 600

601 to 800

801 to 1000

1001 to 1200

1201 to 1400

1401 to 1600

400.5 to less than 600.5

600.5 to less than 800.5

800.5 to less than 1000.5

1000.5 to less than 1200.5

1200.5 to less than 1400.5

1400.5 to less than 1600.5

200

200

200

200

200

200

500.5

700.5

900.5

1100.5

1300.5

1500.5

 

Example 2-3

Table 2.9 gives the total home runs hit by all players of each of the 30 Major League Baseball teams during the 2002 season. Construct a frequency distribution table.

Table 2.9 Home Runs Hit by Major League Baseball Teams During the 2002 Season

Team

Home Runs

Team

Home Runs

Anaheim

Arizona

Atlanta

Baltimore

Boston

Chicago Cubs

Chicago White Sox

Cincinnati

Cleveland

Colorado

Detroit

Florida

Houston

Kansas City

Los Angeles

152

165

164

165

177

200

217

169

192

152

124

146

167

140

155

Milwaukee

Minnesota

Montreal

New York Mets

New York Yankees

Oakland

Philadelphia

Pittsburgh

St. Louis

San Diego

San Francisco

Seattle

Tampa Bay

Texas

Toronto

139

167

162

160

223

205

165

142

175

136

198

152

133

230

187

Solution 2-3

Approximate width of each class = 230-124/5 = 21.2

Now we round this approximate width to a convenient number-say, 22.

Solution 2-3

 The lower limit of the first class can be taken as 124 or any number less than 124. Suppose we take 124 as the lower limit of the first class. Then our classes will be

124 – 145,   146 – 167,   168 – 189,   190 – 211, 

and 212 – 233

Table 2.10 Frequency Distribution for the Data of  Table 2.9

Total Home Runs

Tally

f

124 – 145

146 – 167

168 – 189

190 – 211

212 – 233

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6

13

4

4

3

   

f  = 30

 

 

n