FREQUENCY DISTRIBUTION

OBJECTIVES: Acquire knowledge on the basic concept of frequency distribution table, range, class width, class limits, class boundaries, and class marks.

Identify the class size, class marks, class boundaries, and class limits for the given frequency distribution table.

Construct a frequency distribution table

RECALL

Classify the ff as discrete or

continuous data:Shoe sizesactual lengths of feetNo.of students in AC – high school

Male teachers in ACTemperature of the room

Among campus vending machines, 14 are found to be defective.

Today's records show that 5 students were absent.

The car weighs 1430 kilograms. Among all SAT scores last year, 23 were perfect.

Radar indicated that the driver was going 72.4 mph.

Essential Questions:

What is a frequency distribution table?

What are the basic concepts needed in constructing a frequency distribution table?

A frequency distribution table lists categories of scores along with their corresponding

frequencies.

The frequency for a particular category or class is the

number of original scores that fall into

that class.

The classes or categories refer to the groupings of a frequency table

The range is the difference between the highest value and the lowest value.

R = highest value – lowest value

The class width is the difference between two

consecutive lower class limits or class

boundaries.

The class limits are the smallest or the largest numbers that

can actually belong to different classes.

Lower class limits are the smallest numbers that can actually belong to the different classes.

Upper class limits are the largest numbers that can actually belong to the different classes.

The class boundaries are obtained by increasing the upper class limits and decreasing the lower class limits by the same amount so that there are no gaps between consecutive under classes. The amount to be added or subtracted is ½ the difference between the upper limit of one class and the lower limit of the following class.

class marks are the midpoints of the

classes

Essential Question :

How do we construct a frequency distribution table?

Process of Constructing a Frequency Table STEP 1: Determine the

range.

R = Highest Value – Lowest Value

STEP 2. Determine the tentative number of classes (k)

k = 1 + 3.322 log N

Always round – off Note: The number of classes should be

between 5 and 20. The actual number of classes may be affected by convenience or other subjective factors

STEP 3. Find the class width by dividing the range by the number of classes.

(Always round – off )

k

Rc

classesofnumber

Rangewidthclass

STEP 4. Write the classes or categories starting with the lowest score. Stop when the class already includes the highest score.

Add the class width to the starting point to get the second lower class limit. Add the class width to the second lower class limit to get the third, and so on. List the lower class limits in a vertical column and enter the upper class limits, which can be easily identified at this stage.

STEP 5. Determine the frequency for each class by referring to the tally columns and present the results in a table.

When constructing frequency tables, the following guidelines should be followed. The classes must be

mutually exclusive. That is, each score must belong to exactly one class.

Include all classes, even if the frequency might be zero.

All classes should have the same width, although it is sometimes impossible to avoid open – ended intervals such as “65 years or older”.

The number of classes should be between 5 and 20.

Let’s Try!!! Time magazine collected information on all 464 people who died from gunfire in the Philippines during one week. Here are the ages of 50 men randomly selected from that population. Construct a frequency distribution table.

19 18 30 40 41 33 73 2523 25 21 33 65 17 20 7647 69 20 31 18 24 35 2417 36 65 70 22 25 65 1624 29 42 37 26 46 27 6321 27 23 25 71 37 75 2527 23

Determine the range.

R = Highest Value – Lowest Value

R = 76 – 16 = 60

Determine the tentative number of classes (K).

K = 1 + 3. 322 log N = 1 + 3.322 log 50

= 1 + 3.322 (1.69897)

= 6.64 *Round – off the result to the next

integer if the decimal part exceeds 0.

K = 7

Find the class width (c).

* Round – off the quotient if the decimal part exceeds 0.

k

Rc

classesofnumber

Rangewidthclass

957.87

60c

Write the classes starting with lowest score.

Classes Tally Marks Freq.

70 – 78 61 – 69 52 – 60 43 – 51 34 – 42 25 – 33 16 – 24

/////////////////-///////-/////-/////////-/////-/////-//

5 5 0 2 7 14 17

Using Table:What is the lower class limit of the highest class? Upper class limit of the lowest class?

Find the class mark of the class 43 – 51.

What is the frequency of the class 16 – 24?

Classes Class boundarie

s

Tally Marks Freq.

x

70 – 78 61 – 69 52 – 60 43 – 51 34 – 42 25 – 33 16 – 24

69.5 – 78.560.5 – 69.551.5 – 60.5 42.5 – 51.533.5 – 42.524.5 – 33.515.5 – 24.5

//////////

///////-///////-/////-/////////-/////-/////-//

5 5 0 27

14 17

74655647382920

CUMULATIVE FREQUENCY DISTRIBUTION

The less than cumulative frequency distribution (F<) is constructed by adding the frequencies from the lowest to the highest interval while the more than cumulative frequency distribution (F>) is constructed by adding the frequencies from the highest class interval to the lowest class interval.

Classes Freq. F< F>

70 – 78 61 – 69 52 – 60 43 – 51 34 – 42 25 – 33 16 – 24

5 5 0 2 7 14 17

5 5 + 5 = 10 10 + 0 = 10 10 + 2 = 12 12 + 7 = 1919 + 14 = 3333 + 17 = 50

45 + 5 = 5040 + 5 = 4540 + 0 = 4038 + 2 = 4031 + 7 = 3817 + 14 = 31 17

RELATIVE FREQUENCY DISTRIBUTION

A Relative frequency distribution indicates the proportion of the total number of observations that is occurring in each interval. That is,

Relative frequencies may be expressed in percent. Hence a relative frequency table is also called percentage frequency distribution

n

frf

nsobservatioofnumbertotal

ervalclasseachoffrequencyrffrequencyrelative

int)(

Classes Freq. rf rf%

70 – 78 61 – 69 52 – 60 43 – 51 34 – 42 25 – 33 16 – 24

5 5 0 2 7 14 17

5/50 = 0.15/50 = 0.10/50 = 02/50 = 0.047/50 = 0.1414/50 = 0.2817/50 = 0.34

10%10%0%4%14%28%34%

N = 50 1.00

100%

Note: A Relative cumulative frequency distribution may be constructed using relative frequencies of the cumulative frequency “less than” or “more than”.