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Prepared by : NURIZATY MUHAMAD NOR Page 1 B3001/UNIT2/1 Unit 2 MEASURES OF CENTRAL TENDENCY Understanding differences between mean, mode and median with formula method and graphical method. On completion of this unit, the students should be able to : 1. Solve mean, mode and median for ungrouped data and grouped data using formula method. 2. Solve mean, mode and median for ungrouped data and grouped data using graphical method. General Objective Specific Objectives

BA201 Engineering Mathematic UNIT2 - Measures of Central Tendency

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  • Prepared by : NURIZATY MUHAMAD NOR Page 1

    B3001/UNIT2/1

    Unit

    2

    MEASURES OF

    CENTRAL

    TENDENCY

    Understanding differences between

    mean, mode and median with formula

    method and graphical method.

    On completion of this unit, the students

    should be able to :

    1. Solve mean, mode and median

    for ungrouped data and grouped

    data using formula method.

    2. Solve mean, mode and median

    for ungrouped data and grouped

    data using graphical method.

    General Objective

    am

    Specific Objectives

    khusus

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    2.0 INTRODUCTION

    Measure of central tendency or measure of location is a value which is

    representative of a set of data. The role of central tendency is to determine the central

    value of a set of data. The various types of measures of location are mean, mode and

    median.

    2.1 UNGROUPED DATA

    2.1.1 Mean

    Mean of a set of data is the sum of the values of all observations divided by the total

    number of observation.

    If the data represent a sample, the mean is defined as follows :

    Mean, = N

    x

    where,

    x = sum of values of all data N = total number of data

    Example 2.1:

    Find the mean of the following data :

    5, 7, 7, 9, 4, 6, 5, 10, 12 and 8

    Solution :

    Mean, = N

    x

    = 10

    8 12 10 56 4 9 7 7 5

    = 7.3

    INPUT

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    Example 2.2

    Data in Table 2.1 shows the test marks that scored by a student in Mathematics 3.

    Table 2.1

    Test Marks

    1

    2

    3

    4

    5

    80

    100

    60

    55

    75

    Solution :

    Mean = testsofnumber total

    marks of sum

    = 5

    370

    = 74

    2.1.1.1 Frequency Table For Ungrouped Data

    You must understand what a frequency table is. Raw data can be summarized in

    a frequency distribution table. Frequency distribution table for ungrouped data shows the

    number of observations or frequencies for each data. This method can apply if the raw

    data is large.

    So, the student gets 74 as the mean of

    his mathematics 3 tests.

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    Example 2.3:

    The following data shows the marks scored by 35 students in mid-term exam.

    80 45 40 75 85 45 50

    80 60 60 40 50 65 80

    60 40 60 70 80 60 50

    65 45 75 80 75 50 45

    40 60 65 70 60 45 50

    Calculate the mean of the marks.

    Solution :

    The marks can be summarized in frequency distribution table for ungrouped data as

    follows:

    Table 2.2 : Frequency distribution table for ungrouped data

    Marks (x) Frequency (no. of students) ( f ) Total (fx)

    80

    45

    40

    60

    50

    65

    70

    75

    85

    5

    5

    4

    7

    5

    3

    2

    3

    1

    400

    225

    160

    420

    250

    195

    140

    225

    85

    Total 35 2100

    Min, = f

    fx

    = 35

    2100

    = 60

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    This is because all data have the same frequency

    2.1.2 Mode

    Mode is the value that occurs with the highest frequency in a set data of

    data.There are two or more values of mode if there are two or more data that have the

    same highest frequency. A set of data also do not have a mode if a data given have the

    same frequency.

    Example 2.4:

    Find the mode of the following data :

    a) 10, 20, 50, 30, 20, 40, 60 and 20

    b) 10, 20, 50, 30, 20, 40, 60 and 50

    c) 10, 20, 50, 30, 20, 40, 30 and 50

    d) 10, 20, 50, 30, 20, 40 and 60

    e) 10, 20, 50, 30, 20, 10, 30 and 50

    Solution:

    a) mode, M0 = 20

    b) M0 = 20 dan 50

    c) M0 = 20, 30 dan 50

    d) M0 = 20

    e) M0 = None

    Example 2.5 :

    Find the mode in table 2.2 above.

    Solution :

    Mode is 60 marks, because it has with the highest frequency.

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    2.1.3 Median (M)

    Median is the centre value of a set of data after the data is arranged in ascending

    or decending order.

    Example 2.6:

    For a set of data: 3, 6, 11, 4, 8, 14, 21, find the median.

    Solution :

    3, 4, 6, 8, 11, 14, 21

    So, median = 8

    Example2.7:

    For a set of data 61, 65, 68, 78, 79, 84, 90, 91, determine the median.

    Solution :

    Arrange the data in ascending order

    61, 65, 68, 78, 79, 84, 90, 91

    Because there are two numbers in the centre of a set of data,

    median = 2

    7978

    = 78.5

    3 numbers 3 numbers

    Arrange the numbers in

    ascending order

    All sets of data have median but not

    all of them have mode

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    ACTIVITY 2a

    2a.1 Calculate the mean for a set of data:

    a) 40, 65, 75, 70, 75, 80

    b) 400, 450, 350, 300, 380

    c) 250, 350, 300, 200, 700

    2a.2 Find the median for these samples of data:

    a) 7, 3, 4, 2, 1, 5, 6, 8

    b) 30, 35, 38, 37, 40, 45, 33

    c) 355, 370, 365, 340, 360

    2a.3 Determine the mode for these samples of data :

    a) 30, 40, 50, 60, 30, 40, 30

    b) 3, 3, 3, 4, 4, 5, 6, 7, 3, 4

    c) 1, 3, 5, 7, 9, 11, 13, 15, 17

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    FEEDBACK 2a

    2a.1 a) 67.5

    b) 376

    c) 360

    2a.2 a) 4.5

    b) 37

    d) 360

    2a.3 a) 30

    b) 3

    c) None

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    2.2 GROUPED DATA

    2.2.1 Mean

    Mean for grouped data can be calculated using the formula as follows :

    Mean, = f

    fx

    where, (sigma) = total f = frequency

    x = class midpoint =2

    limlim itUpperitLower

    Example 2.8:

    Find the mean for grouped data in table 2.3below.

    Table 2.3

    Class Frequency, f

    0 - 4

    5 - 9

    10 - 14

    15 - 19

    30

    51

    10

    10

    Solution :

    First, you must complete the frequency table as in table 2.4

    Table 2.4

    Class Midpoint, x Frequency, f fx

    0 - 4

    5 - 9

    10 - 14

    15 - 19

    2

    7

    12

    17

    30

    51

    10

    10

    60

    357

    120

    170

    INPUT

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    101f 707fx

    So,

    Min, = f

    fx

    101

    707

    = 7

    2.2.2 Median

    Median is the center value of a set of data that is arranged in order. For grouped

    data, the median class should be determined first before calculating the median by (N/2).

    Median is given by the following formula :

    Cfm

    FN

    Lm

    2

    Where, L = lower boundary of the median class

    N = total number of frequency

    F = cumulative frequency before median class

    fm = frequency of median class

    C = size of median class

    Example 2.9:

    Table 2.5 shows the weight of 100 polytechnic students. Calculate the median using

    formula.

    Table 2.5 : Weight of 100 polytechnic students.

    Weight (kg) Frequency

    25 - 49

    50 - 74

    75 - 99

    100 - 129

    15

    25

    30

    20

    2

    34

    2

    1915

    = 17

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    125 - 149 10

    Solution :

    Table 2.6 : Frequency distribution table of 100 polytechnic students

    Weight

    (kg) frequency, f

    Cumulative

    frequency

    25 - 49

    50 - 74

    75 - 99

    100 - 124

    125 - 149

    15

    25

    30

    20

    10

    15

    40

    70

    90

    100

    Step 1 : Determine median class

    Total number of frequency, N = 100

    Median class is given by Tn/2 = T 100/2 = T50

    Therefore median class is the class 75 -99 kg

    Step 2 : Using formula

    L = lower boundary of the median class = 74.5

    N = total number of frequency = 100

    F = cumulative frequency before median class = 40

    fm = frequency of median class = 30

    C = size of median class= 99.5 - 74.5 = 25

    Cfm

    FN

    Lmed

    2

    2530

    40505.74

    med

    = 82.8 kg

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    2.2.2.1 Estimating Median of Grouped Data From Ogive

    An ogive is also known as a cumulative frequency graph.

    Step 1 : Construct a table with the values of upper boundaries and cumulative

    frequencies.

    Step 2 : Plot an ogive graph of cumulative frequency against upper boundaries.

    The median can be determined from the ogive based on the Tn/2

    Example 2.10:

    Table 2.7 shows the weight of a group of students.

    Berat (kg) 41 - 45 46 - 50 51 - 55 56 - 60 61 - 65 66 - 70 71 - 75

    Kekerapan 2 5 7 12 9 3 2

    Table 2.7 : Weight of a group of student

    Draw an ogive for the given data and from the ogive estimate the median of the weight

    of the students.

    Solution :

    Table 2.8 : Frequency distribution table

    Weight

    (kg)

    Frequency Cumulative

    Frequency

    Upper

    boundaries

    41 - 45 2 2 45.5

    46 - 50 5 7 50.5

    51 - 55 7 14 55.5

    56 - 60 12 26 60.5

    61 - 65 9 35 65.5

    66 - 70 3 38 70.5

    71 - 75 2 40 75.5

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    Figure 2.1: A less than ogive of weight of a group of student.

    Median,m = Tn/2 = T 40/2 = T20

    = 58.5 kg ( From the graph)

    2.2.3 Mode

    2.2.3.1 Formula Method

    Mode for grouped data can be determined by the following method :

    cdd

    dLM M

    21

    10 0

    dimana,

    = Lower boundary of the mode class

    = frequency of the mode class frequency of the class before

    d2 = frequency of the mode class frequency of the class after

    = the width of the mode class

    0 M L

    1 d

    c

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    Example 2.10

    Determine the mode in table 2.9:

    Table 2.9

    Class Frequency

    118 - 126 3

    127 - 135 5

    136 - 144 9

    145 - 153 12

    154 - 162 5

    163 - 171 4

    172 - 180 2

    Solution :

    Mode class : 145 - 153

    = 144.5

    120Mf , 910

    M

    f , 510

    Mf

    So, 391211 00

    MM

    ffd

    751212 00

    MM

    ffd

    9c

    Mod, 973

    35.1440

    M

    = 147.2

    0 M L

    Mode

    class 12

    0Mf

    910

    Mf

    510

    Mf

    cdd

    dLM M

    21

    10 0

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    2.2.3.2 Estimating Mode From Histogram

    A histogram is constructed based on the frequency distribution. The values of

    data (lower boundaries) are plotted on the horizontal axis while the frequencies are

    plotted on the vertical axis.

    Example 2.11:

    Construct a histogram and determine the mode from table 2.10.

    Markah Kekerapan

    31 40 5

    41 50 7

    51 60 14

    61 70 10

    71 80 4

    Table 2.10 : The marks of a group of students in Mathematics Test.

    Solution

    Mode = 56.8

    mode class

    Frequency

    Mode

    class

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    ACTIVITY 2b

    2b.1 The monthly school expenses is shown in the following data. Find the mean,

    mode and median using formula and graphical method.

    Expenses (RM) Frequency

    11 21 3

    22 32 7

    33 43 10

    44 54 14

    55 65 9

    66 76 6

    77 - 87 1

    n = 50

    2b.2 The weight of 50 students in kilograms are given in the following table.

    Determine the mean, mode and median using formula and graphical method.

    Weight (kg) Frequency

    45 49 9

    50 54 6

    55 59 16

    60 64 10

    marks

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    65 69 7

    70 74 2

    75 - 79 0

    ANSWERS 2b

    2b.1 Mean = 47.02

    Median = 47.4

    Mode = 48.38

    2b.2 Mean = 57.5

    Median= 57.6

    Mode = 57.6

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    PRACTICES

    2-a. The following table shows the height of 50 students in a class. Determine the mean,

    mode and median.

    Height

    (cm) 146 150 151 155 156 160 161 - 165 166 - 170 171 - 175

    No. of

    Students 5 10 14 11 6 4

    2-b. The following table shows the marks scored by 54 students in a Geography Test.

    Determine the mean, mode and median for the data.

    Marks 0 -19 20 - 39 40 - 59 60 -79 80 -99

    No. of Students 3 8 16 10 8

    2-c. A sample of wire produced by a factory in 1 week is shown in the table below..

    Determine the mean, mode and median.

    Diameter(mm) 0.95 0.97 0.98 1.00 1.01 1.03 1.04 1.06 1.07 1.09

    Frequency 7 12 15 11 5

    2-d. i) Find the mean of data : 4, 5, 78, 75, 70.

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    ii) Find the median of data : 50, 60, 70, 90, 110, 130, 150, 80, 120.

    iii) Find the mode of data : 10, 30, 50, 70, 90, 110, 130, 150, 170.

    ANSWERS

    2-a. Mean=159.5cm, median=159.1cm, mode class=156 160

    2-b. Mean=54.8 marks, median=54.5 marks, mode class=40 59

    2-c. Mean=1.02mm, median=1.02mm, mode class=1.01 1.03

    2-d i) 46.8

    ii) 90

    iii) None