Worksheet 2: Data Presentation: Frequency Distribution Table, Exams of Statistics

Frequency distribution table. • Data is classified into several classes, and then number of observation in each class is determined.

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Worksheet 2: Data Presentation: Frequency Distribution Table
Name: Date:
Frequency distribution table
Data is classified into several classes, and then number of observation in each class is
determined.
A) For qualitative data: class = category of the data
Example:
Frequency Distribution of Grade XI Science International MAN 4 Jakarta
Class or
Category Frequency
Male 19
Female 21
Exercise:
Make a frequency distribution table of your class member, based on:
1. Gender Class or
Category Frequency
Male
Female
2. Favorite color Class or
Category Frequency
Blue
Green
Yellow
Red
Brown
Other
3. Type of their almamater ( junior high school)
Class or
Category Frequency
SMP
MTs
Pesantren
1 | Page
pf3
pf4

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Worksheet 2: Data Presentation: Frequency Distribution Table

Name: Date:

Frequency distribution table

  • Data is classified into several classes, and then number of observation in each class is determined.

A) For qualitative data: class = category of the data

Example :

Frequency Distribution of Grade XI Science International MAN 4 Jakarta

Class or Category

Frequency

Male 19 Female 21

Exercise:

Make a frequency distribution table of your class member, based on:

  1. Gender Class or Category

Frequency

Male Female

  1. Favorite color Class or Category

Frequency

Blue Green Yellow Red Brown Other

  1. Type of their almamater ( junior high school) Class or Category

Frequency

SMP MTs Pesantren

B) For quantitative data

  1. Single data Example : Table 1. Frequency Distribution of Body Height of Grade XI Science International MAN 4 Jakarta Students

Height (cm) Frequency 148,00 1 150,00 1 152,00 2 159,00 2 160,00 1 161,00 1 162,00 2 164,00 2 165,00 2 167,00 3 168,00 6 169,00 1 170,00 4 172,00 4 173,00 1 174,00 2 175,00 2 177,00 1 180,00 2

  1. Grouped data o When number of data is large, grouped data is more preferred than single data, for its efficiency and simplicity. o Disadvantage: less accurate, since the “true” value of single data is unknown.
  • Procedure:

Data : Student’s body weight (kg):

41 60 72 72 65 64 48 90 60 75 53 48 63 49 58 39 39 75 55 62 53 59 58 38 72 62 60 59 68 60 70 60 56 80 65 85 71 45 70 55

Make the frequency distribution table of the above data!

Answer:

Step 1: Order the data, from the smallest to the largest: 38 39 … … … … … … … … … … … … … …

IV … …

V … …

VI … …

Step 6: Determine the mid-value of each class lower limit+upper limit Mid-value 2

Class Mid-value I 42 II 51 III … IV … V … VI …

Step 7: Count the frequency of each class, and then compile the table

Tabel 2 1 2 3 4 5 6 7 Class Class Boundary Class Limit Mid- Value Frequency Relative Frequency Percentage

I 38 – 46 37,5 – 46,5 42 5 0,125 12.5% II 47 – 55 46,5 – 55,5 51 7 0,175 17.5% III … … … … … … IV … … … … … … V … … … … … … VI … … … … … …

Note:

frequency n

relative frequency =

percentage = relative frequency ×100%

  • Table that consist of column 1 through 5 = Frequency Distribution Table
  • Table that consist of column 1 through 6 = Relative Frequency Distribution Table
  • Table that consist of column 1 through 4, and 7 = Percentage Distribution Table
  • Total relative frequency = 1
  • Total percentage = 100%

Exercise :

Make a frequency distribution table, relative frequency distribution table, and percentage distribution table using data in Table 1!