MAT114, 217 Lecture Note

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    STATISTICS

    Statistics is concerned with Scientific methods for collecting, organizing, summarizing,

    presenting, and analyzing data as well as with drawing valid conclusions and making

    reasonable decisions on the basis of such analysis.

    POPULATION AND SAMPLE

    It is often impossible or impractical to observe the entire group especially if it is large.

    Instead of examining the entire group, called the population, of universe, one examines asmall part of the group, called a sample.

    FINITE POPULATION: all bolts produced in a factory.

    INFINITE POPULATION: heads, tails in successive tosses of a coin.

    INDUCTIVE STATISTICS: important conclusions about the population.

    DESCRIPTIVE, OR DEDUCTIVE STATISTICS: it only seek to describe and analyze a

    given group without drawing any conclusions or inferences.

    DATA: numerical facts, information or series of observations that can be measured or

    quantified.

    RAW DATA: are collected data that have not been organized numerically. An example is

    the set of heights of 100 male students obtained from an alphabetical listing of universityrecords.

    ARRAYS: an array is an arrangement of raw numerical data in ascending or descendingorder of magnitude. The difference between the largest and smallest numbers is called therange of the data.

    FREQUENCY DISTRIBUTIONS

    a tabular arrangement of data by classes together with the corresponding class frequencies

    is called a frequency distribution or frequency table.

    CLASS INTERVALS AND CLASS LIMITS

    A symbol defining a class, such as 60 62 is called a class interval. The end numbers, 60

    and 62 are called class limits; the smaller number 60 is the lower class limit, and the larger

    number 62 is the upper class limit.

    CLASS BOUNDARIES

    The class boundaries are obtained by adding the upper limit of one class interval to thelower limit of the next-higher class interval and divided by 2.

    THE SIZE, OR WIDTH OF A CLASS INTERVAL

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    The size, or width, of a class interval is the difference between the lower and upper class

    boundaries and is also referred to as the class width, class size, or class length.

    THE CLASS MARK

    The class mark is the midpoint of the class interval and is obtained by adding the lower and

    upper class limits and dividing by 2. Thus the class mark of the interval 60 62 is (60 62)/2 = 61. The class mark is also called the class midpoint.

    Example 1The following is a record of the total number of goals scored in thirty different matches all

    over the federation, in one week-end of a football season.

    3 5 1 7 2 2 4 3 0 5

    0 8 3 2 6 7 5 2 1 1

    11 2 2 10 9 9 6 3 4 6

    (a) Prepare a frequency table to represent the data(b) What is the least number of goal scored

    (c) What is the greatest number of goal scored.

    Solution

    Total number ofgoals scored

    Tally Frequency

    01

    2

    3

    45

    67

    8

    9

    1011

    /////

    //// /

    ////

    /////

    /////

    /

    //

    //

    23

    6

    4

    23

    32

    1

    2

    11

    30

    The least number of goals scored is zero.

    The greatest number of goals scored is 11.

    GROUPED FREQUENCY DISTRIBUTION

    Below are the masses to the nearest kilogram of 50 students in a class.10 35 34 40 20 44 29 34 23 36

    32 45 33 45 37 39 46 31 40 24

    34 40 45 48 41 32 35 42 33 2546 43 25 49 44 17 20 46 38 27

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    30 44 31 40 43 46 45 40 41 37

    Construct a grouped frequency distribution table using the class interval 10-13, 14-17, 18-

    21, etc.Solution

    Class interval tally frequency

    10 1314 1718 21

    22 25

    26 29

    30 3334 37

    38 41

    42 4546 49

    ////

    ////

    ///

    //// ////// ////

    //// ///

    //// //////// /

    112

    4

    3

    79

    8

    96

    50

    DIAGRAMATIC AND GRAPHICAL PRESENTATION OF

    DATA

    PICTOGRAM

    Pictorial representation involves the use of pictures to convey the information which we

    wish to pass on.

    Example

    The total exports of coffee in metric tonnes in country X are given in the table below forthree consecutive years.

    Year Export in metric tonne

    1975

    1976

    1977

    300,000

    400,000

    500,000

    Draw a pictogram to show the total exports for each of the three consecutive years.

    Solution

    Coffee cup will be an appropriate representation

    1975

    1976

    1977

    BAR CHART

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    In a bar-chart, rectangular bars of equal widths but heights proportional to the size of the

    items we want to display are used.

    Example

    The number of crates of soft drinks sold to students of a high school in city A during one

    break-time is as follows:Brands of soft drinks Number of crates

    Coca-cola

    Pepsi-cola

    Fanta

    Seven-upCrush

    sprite

    5

    3

    4

    21

    2

    Draw a bar-chart to display the data in the table above.

    0

    0.5

    1

    1.52

    2.5

    3

    3.5

    44.5

    5

    coca

    cola

    pepsi

    cola

    fanta seven

    up

    crush sprite

    North

    PIE - CHART

    A Pie-chart is a circular chart divided into sectors whose angles are proportional to themagnitudes of their corresponding constituents of the total we wish to display.

    ExampleThe table below is a break-down of monthly expenditure of a salary earner.

    Expenditure Amount

    Rent

    FoodTransportClothes

    Savings

    60

    802040

    100

    Draw a pie-chart to display the data.

    Solution.

    Expenditure Amount Angle of sector

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    Rent 60 072360300

    60=

    Food 80 096360

    300

    80=

    Transport 20 024360300

    20=

    Clothes 40 048360300

    40=

    Savings 100 0120360300

    100=

    Total 300 360

    A pie-chart showing the expenditure pattern of a salary earner every month.

    HISTOGRAM

    A histogram is a graphic display of a frequency distrubution. It consists of rectangular bars

    placed side by side with the horizontal axis as the variable axis, while the vertical axis isthe frequency axis.

    The following are the lengths in cm of fifty planks cut by a machine in a sawmill.

    33 49 60 58 59 71 42 88 68 9154 32 81 59 41 55 38 56 86 62

    50 69 50 84 77 33 71 42 69 9361 51 23 76 63 96 26 70 66 80

    44 52 46 33 68 39 61 71 48 66

    (a) Using class interval of 21-30, 31-40, ---(i) Construct the frequency table.

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    (ii) Draw the histogram for the distribution

    (b)

    (i) Identify the modal class(ii) Use your histogram to estimate the mode of the distribution.

    Solution

    Class interval Tally Frequency Classboundries

    21 30

    31 40

    41 50

    51 6061 70

    71 80

    //

    //// /

    //// ////

    //// //////// //// /

    //// /

    2

    6

    9

    911

    6

    20.5 30.5

    30.5 40.5

    40.5 50.5

    50.5 60.560.5 70.5

    70.5 80.5

    20.5 30.5 40.5 50.5 60.5 70.5

    2

    4

    6

    8

    10

    12

    80.5

    modal class = 61 70

    mode = 63.5

    FREQUENCY POLYGON

    The mid-point of the top of each bar of a histogram.

    Example

    The age distribution of 77 people in a farm settlement is shown in the table below.

    Age (years) 11-15 16-20 21-25 26-30 31-35 36-40 41-45 46-50

    frequency 5 8 10 12 3 14 9 16

    Construct a histogram and hence draw a frequency polygon of the above distribution

    Solution

    Age(years) Class mark Frequency Class boundaries

    11 15

    16 20

    13

    18

    5

    8

    10.5 15.5

    15.5 20.5

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    21 25

    26 3031 35

    36 40

    41 45

    46 50

    23

    2833

    38

    43

    48

    10

    123

    14

    9

    16

    20.5 25.5

    25.5 30.530.5 35.5

    35.5 40.5

    40.5 45.5

    45.5 50.5

    1 0.5 1 5.5 2 0.5 2 5.5 3 0.5 3 5.5

    2

    4

    6

    8

    1 0

    1 2

    40.5

    1 4

    1 6

    45.5 50.5

    CUMULATIVE FREQUENCY CURVE

    The sum of all the frequencies from the first to that of a particular class is called thecumulative frequency of that class in a frequency distribution. The graph of the cumulative

    frequency curve against the upper class boundary is called a cumulative frequency curve or

    Ogive.

    ExampleThe table below shows the weekly profit in Naira from a mini- market.

    Weekly

    profit

    1- 10 11-20 21- 30 31- 40 41- 50 51- 60

    frequency 6 6 12 11 10 5

    (a) Draw the cumulative frequency graph of the data

    (b) From your graph, estimate the

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    (i) Lower quartile

    (ii) Median

    (iii) Upper quartile(iv) Semi-interquartile range

    (v) 80th percentile

    Solution

    Classinterval

    frequency Classboundaries

    Cumulativefrequency

    1 10

    11 2021 30

    31 40

    41 5051 60

    6

    612

    11

    105

    0.5 10.5

    10.5 20.520.5 30.5

    30.5 40.5

    40.5 50.550.5 60.5

    6

    1224

    35

    4550

    0.5

    5

    10.5 20.5 30.5 40.5 50.5 60.5

    10

    15

    20

    25

    30

    35

    40

    45

    50

    Q2

    (a)

    (i) 2

    150,)1(2

    1 +=+= itemnMedian

    th

    = 25.25th item

    Q2 = 31.50

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    If the minimum mark for distinction is 75%, how many candidates passed with

    distinction?

    The table below shows how a man spends his income in a month.

    Items Amount Spent

    Food

    House rent

    Provisions

    Electricity

    Transportation

    others

    4500

    3000

    2500

    2000

    5000

    3000

    Represent the information on a pie chart.

    What percentage of his income is spent on transportation?

    The ages, in years, of 50 teachers in a school are given below:

    21 37 49 27 49 42 26 33 46 40

    50 29 23 24 29 31 36 22 27 38

    30 26 42 39 34 23 21 32 41 46

    46 31 33 29 28 43 47 40 34 44

    26 38 34 49 45 27 25 33 39 40

    Form a frequency distribution of the data using the intervals: 21 25, 26 30,

    31 35, etc.

    Draw the histogram of the distribution.

    Use your histogram to estimate the mode.

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    Calculate the mean age.

    The table shows the marks obtained by a group of students in a class test.

    Marks 40 -44

    45 -49

    50 -54

    55 -59

    60 -64

    65 -69

    No. of

    students

    4 9 18 23 10 6

    Draw a histogram for the distribution.

    Use your histogram to estimate the median of the distribution.

    The table gives the distribution of marks of 60 candidates in a test.

    Marks 23 - 25 26 -

    28

    29 - 31 32 - 34 35 - 37 38 -

    40

    frequenc

    y

    3 7 15 21 10 4

    Draw a cumulative frequency curve of the distribution.

    From your curve, estimate the

    80th percentile;

    Median;

    Semi-interquartile range.

    The distribution of the lives (in days) of 40 transistor batteries is shown in the

    table.

    Battery life (in

    days)

    26 -

    30

    31 - 35 36 - 40 41 - 45 46

    50

    51 - 55

    frequency 4 7 13 8 6 2

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    Draw a histogram for the distribution.

    Use your graph to determine the mode for the distribution.

    The table shows the frequency distribution of the scores obtained by 100students in an examination.

    Marks 30 -

    39

    40 -

    49

    50 - 59 60 -

    69

    70 -

    79

    80 - 89 90 - 99

    Frequen

    cy

    9 14 32 20 15 7 3

    Draw a cumulative frequency curve for the distribution.

    Use your curve to determine the:

    Median;

    Lower quartile;

    Lowest mark for distinction if 5% of the students passed with distinction.