#### STATISTICS

**Mean**

Calculating the Mean from a Set of Data, Frequency Distribution Tables and Histogram

Calculate the mean from a set of data, frequency distribution tables and histogram

Measures of central tendency:

The arithmetic mean

Example 1

The masses of some parcels are 5kg, 8kg, 20kg and 15kg. Find the mean mass of the parcels.

**Solution**

Total mass = (5 + 8 + 20 + 15) kg = 48kg

The number of parcels = 4

The mean mass = 48kg ÷ 4 = 12kg

The arithmetic mean used as measure of central tendency can be misleading as can be seen in the following example.

Example 2

John

and Mussa played for the local cricket team. In the last six batting

innings, they scored the following number of runs.John: 64, 0, 1, 2, 4,

1;Mussa: 15, 20, 13, 11 , 10, 3.Find the mean score of each player.

Which player would you rather have in your team? Give a reason.

and Mussa played for the local cricket team. In the last six batting

innings, they scored the following number of runs.John: 64, 0, 1, 2, 4,

1;Mussa: 15, 20, 13, 11 , 10, 3.Find the mean score of each player.

Which player would you rather have in your team? Give a reason.

**Solution**

John’s mean = (64 + 0 + 1 + 2 + 4 + 1) ÷ 6 = 12

Mussa’s mean = (15 + 20 + 13 + 11 + 10 + 3) ÷ 6 = 12

Each

player has the same mean score. However, observing the individual

scores suggests that they are different types of player. If you are

looking for a steady reliable player, you would probably choose Mussa.

player has the same mean score. However, observing the individual

scores suggests that they are different types of player. If you are

looking for a steady reliable player, you would probably choose Mussa.

Often it is possible to use the mean of one set of numbers to find the mean of another set of related numbers.

Suppose a number a is added to or subtracted from all the data. Then a is added to or subtracted from the mean.

Suppose

the n values are 𝑥!+𝑥! + 𝑥! ………+𝑥!. Multiply each by a, and

we obtain 𝑎𝑥!+𝑎𝑥! + 𝑎𝑥! ………+𝑎𝑥!. So we see that the mean

has been multiplied by a.

the n values are 𝑥!+𝑥! + 𝑥! ………+𝑥!. Multiply each by a, and

we obtain 𝑎𝑥!+𝑎𝑥! + 𝑎𝑥! ………+𝑎𝑥!. So we see that the mean

has been multiplied by a.

Interpreting the Mean Obtained from a Set Data, Frequency Distribution Tables and Histogram

Interpret the mean obtained from a set data, frequency distribution tables and histogram

Measures of central tendency from frequency tables

If the data has already been put into a frequency table, the calculation of the measures of central tendency is slightly easier.

Exercise 1

Juma rolled a six- sided die 50 times. The scores he obtained are summarized in the following table.Calculate the mean score

Score (x) | 1 | 2 | 3 | 4 | 5 | 6 |

Frequency (f) | 8 | 10 | 7 | 5 | 12 | 8 |

**Solution**

10 scores of 2 give a total 10 x 2 = 20

8 scores of 1 gives a total 8 x 1 = 8

And so on, giving a total score of

8 x 1 +10 x 2+7 x 3 + 5 x 4 + 12 x 5 + 8 x 6 = 177

The total frequency = 8 + 10 + 7 + 5 + 12 + 8 = 50

The mean score = 177 ÷ 50 = 3.34

**Medium**

The Concept of Median

Explain the concept of median

Mr.Samwel

owns a small factory. He earns about 4,000,000/- from it each year. He

employs 4 people. They earn 550,000/-, 500,000/-, 450,000/- and 400,

000/-.The mean income of these five people is(4,000,000 + 550,000 +

500,000 + 450,000 + 400,000 ÷ 5 = 1,180,000/-

owns a small factory. He earns about 4,000,000/- from it each year. He

employs 4 people. They earn 550,000/-, 500,000/-, 450,000/- and 400,

000/-.The mean income of these five people is(4,000,000 + 550,000 +

500,000 + 450,000 + 400,000 ÷ 5 = 1,180,000/-

If

you said to one the employees that they earned about 1,180,000/- each

year they would disagree with you. In this type of situation when one of

the values is different from the others (as in Example 2), the mean is

not the best measure of central tendency to use.Arrange the incomes in

increasing order of size as follows:

you said to one the employees that they earned about 1,180,000/- each

year they would disagree with you. In this type of situation when one of

the values is different from the others (as in Example 2), the mean is

not the best measure of central tendency to use.Arrange the incomes in

increasing order of size as follows:

The

value that appears in the middle is called the median. In this case the

value of 500,000/- is a much better idea of the average wage earned by

the employees. The median is not affected by isolated values (sometimes

called rogue values) that are much larger or smaller than the rest of

the data.

value that appears in the middle is called the median. In this case the

value of 500,000/- is a much better idea of the average wage earned by

the employees. The median is not affected by isolated values (sometimes

called rogue values) that are much larger or smaller than the rest of

the data.

If the data consists of an even number of values, find the mean of two middle values as shown in the next example.

The Medium from a Set of Data

Calculate the medium from a set of data

Example 3

Find the median of the numbers: 12, 23, 10, 8, 22, 14, 30, and 18.

**Solution**

Arranging in increasing order of size, we get 8 10 12 14 18 22 23 30

Median = (14 + 18) ÷ = 16

The Median using Frequency Distribution Tables and Cumulative Curve

Find the median using frequency distribution tables and cumulative curve

Example 4

Juma rolled a six- sided die 50 times. The scores he obtained are summarized in the following table. Calculate the modianl score

**Solution**

here

are 50 items of data, so if you arrange them in order of size, the

positions are1 ……………….. 25 and 26 …………….. 50. The

median will be the average of the 25th and 26th number.

are 50 items of data, so if you arrange them in order of size, the

positions are1 ……………….. 25 and 26 …………….. 50. The

median will be the average of the 25th and 26th number.

In

the table there are 8 scores of 1, followed by 10 scores of 2. This

gives you 8 + 10 = 18 numbers. These are then followed by 7 scores of 3.

This gives 18 + 7 = 25 numbers. It follows that the 25th number is a 3.

The 26th number must be the first number in the next group, which is a

4.

the table there are 8 scores of 1, followed by 10 scores of 2. This

gives you 8 + 10 = 18 numbers. These are then followed by 7 scores of 3.

This gives 18 + 7 = 25 numbers. It follows that the 25th number is a 3.

The 26th number must be the first number in the next group, which is a

4.

The median is then = (3 + 4) ÷ 2 = 3.5

The Median Obtained from the Data

Interpret the median obtained from the data

Exercise 2

- The

times of five athletes in the 100 m were: 12.5 s, 12.9s, 14.8s, 15.0s,

25.2s. Find the median time. Why is the median a better measure of

central tendency to use than the mean? - Iddi has 6 maths tests

during a school term. His marks are recorded below. Find the mean and

the median mark. Explain why the median is a better measure of central

tendency than the mean 73 78 82 0 75 86 - The table below gives

the percentage prevalence of HIV infection in female blood donors for

the years 1992 to 2003. Find the mean and median of these figures.

1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 |

5.9 | 6.2 | 4.8 | 9.4 | 8.2 | 11.6 | 11.8 | 12.6 | 13.3 | 13.7 | 12.3 | 11.9 |

**Mode**

The Concept of Mode

Explain the concept of mode

The

mode is value that occurs most often in a set of data.This is another

measure of central tendency. It is possible for data to have more than

one mode.

mode is value that occurs most often in a set of data.This is another

measure of central tendency. It is possible for data to have more than

one mode.

Data with two modes are said to be bi – modal.Why mode? The mode is often important to know. For example:

- If you ran a shoe shop you would want to know the most popular size.
- If you ran a restaurant you would want to know what type of food is ordered most.

The Mode

Calculate the mode

Example 5

State the mode for the following sets of numbers:

- 0, 0, 1, 1, 1, 2, 2, 3, 4, 5, 5
- 58, 57, 60, 59, 50, 56, 62
- 5, 10, 10, 10, 15, 15, 20, 20, 20, 25

**Solution**

- 1 occurs most (3 times): The mode is 1
- All the numbers appear once: There is no mode.
- There are three 10s and three 20s: Modes are 10 and 20.

Exercise 3

- Ten

pupils were asked how many brothers or sisters they had. The results

are recorded below. Find the mode number 0, 1 , 1, 2, 5, 0, 1 3 , 1 and

4. - Eight motorists were asked how many times they had taken the

driving test before they passed. The results are recorded below. Find

the mode number. 14213141 - Give examples of where the mode is a better measure of central tendency than either the mean or the median.
- Find the mode of these sets of numbers.

- 0, 1, 1, 3, 4, 5, 5, 5, 6, 7, 8
- 3, 8, 4, 3, 8, 4, 3, 8, 8, 3, 3, 4
- 5, 12, 6, 5, 11, 12, 5, 5, 8, 12, 7, 12
- 3, 6, 2, 8, 2, 1, 9, 12, 15

Finding the Mode using Frequency Distribution and a Histogram

Find the mode using frequency distribution and a histogram

Grouped data

Suppose

a set of data consists of many different values, such as heights of

people measured to the nearest centimeter. Then the data is grouped, for

example into 160 – 165 cm, and so on. If the data has been grouped

together in classes, then unless you have a list of all the individual

values, you only know approximately what each value is. For this reason,

you can only estimate the mean and the median. Also, if all the values

are different, you do not have a single value as the mode. Instead you

have a modal class, as shown in the example below.

a set of data consists of many different values, such as heights of

people measured to the nearest centimeter. Then the data is grouped, for

example into 160 – 165 cm, and so on. If the data has been grouped

together in classes, then unless you have a list of all the individual

values, you only know approximately what each value is. For this reason,

you can only estimate the mean and the median. Also, if all the values

are different, you do not have a single value as the mode. Instead you

have a modal class, as shown in the example below.

Data

grouped in classes can be illustrated by a histogram.Suppose one of the

intervals is from 10 to 19, where data has been rounded to the nearest

whole number. The class limits are 10 and 19. The data in this interval

could be as low as 9.5 or as high as 19.5. These are the class

boundaries. The width of the interval is the difference between the

class boundaries, in this case it is 10.

grouped in classes can be illustrated by a histogram.Suppose one of the

intervals is from 10 to 19, where data has been rounded to the nearest

whole number. The class limits are 10 and 19. The data in this interval

could be as low as 9.5 or as high as 19.5. These are the class

boundaries. The width of the interval is the difference between the

class boundaries, in this case it is 10.

The

histogram consists of rectangles between the class boundaries, with

height corresponding to the frequency. The area of each rectangle is

proportional to the frequency.

histogram consists of rectangles between the class boundaries, with

height corresponding to the frequency. The area of each rectangle is

proportional to the frequency.

Example 6

The examination results (rounded to the nearest whole number %) are given for a group of students.

Mark (%) | 30 – 39 | 40 -49 | 50 – 59 | 60 – 69 | 70 – 79 |

Frequency | 5 | 3 | 20 | 2 | 10 |

- Draw a histogram
- state the modal class

**Solution**

For

a histogram, the horizontal axis is for the data values, and the

vertical axis is for the frequencies. So label the horizontal axis with

the marks from 30 to 80. To indicate that the axis does not start at 0

put a zig – zag to the left of 30. Label the vertical axis with

frequencies from 0 to 20. The first interval has limits 30 and 39. The

class boundaries are 29.5 and 39.5. It has a frequency of 5. So draw a

box covering the interval, and with height 5. Repeat with the other

intervals

a histogram, the horizontal axis is for the data values, and the

vertical axis is for the frequencies. So label the horizontal axis with

the marks from 30 to 80. To indicate that the axis does not start at 0

put a zig – zag to the left of 30. Label the vertical axis with

frequencies from 0 to 20. The first interval has limits 30 and 39. The

class boundaries are 29.5 and 39.5. It has a frequency of 5. So draw a

box covering the interval, and with height 5. Repeat with the other

intervals

Interpreting the Mode Obtained from the Data

Interpret the mode obtained from the data

Example 7

The examination results (rounded to the nearest whole number %) are given for a group of students.

Mark (%) | 30 – 39 | 40 -49 | 50 – 59 | 60 – 69 | 70 – 79 |

Frequency | 5 | 3 | 20 | 2 | 10 |

Estimate the mode

**Solution**

To estimate the mode, there are two methods.

**By drawing:**Use the histogram of the first part.Then proceed as follow;

- Step

1: Draw a straight line from the top left hand corner of the rectangle

of the modal class, to the top left hand corner of the rectangle of the

class to the right of the modal class. - Step 2: Draw a line from

the top right hand corner of the rectangle of the modal class,to the top

right of the modal class to the left of the modal class. - Step 3: Find where these two lines intersect. This gives the mode as 54 on the horizontal axis.

**By calculation:**Let

- fM = frequency of the modal group
- fR = frequency of the group to the right of the modal group
- fL = frequency of the group to the left of the modal group
- W = width of the modal group
- L = lower class boundary of the modal group

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