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    Colourful Cartoon Elementary Classroom Rules Educational Presentation

    Uploaded by

    Marvic Cagnayo

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    © All Rights Reserved
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    Colourful Cartoon Elementary Classroom Rules Educational Presentation

    Uploaded by

    Marvic Cagnayo
    3 views15 pages

    Copyright

    © © All Rights Reserved

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    Copyright:

    © All Rights Reserved
    Download as PPTX, PDF, TXT or read online from Scribd
    Download as pptx, pdf, or txt
    3 views15 pages

    Colourful Cartoon Elementary Classroom Rules Educational Presentation

    Uploaded by

    Marvic Cagnayo

    Copyright:

    © All Rights Reserved
    Download as PPTX, PDF, TXT or read online from Scribd
    Download as pptx, pdf, or txt
    of 15

    MEASURES OF

    POSITION
    STRATEGIC INTERVENTION MATERIALS IN
    MATHEMATHETICS 10
    • Its a number the tells where the score stands relative to
    the others in a set of data.
    • It is a measure whether a value is about the average, or
    wether its unsually high or low
    • It used for quantitative data that falls on some numerical
    scale.
    • It can be applied to ordinal variables.
    2 Different types of data:
    UNGROUPED GROUPED
    DATA DATA

    In the event that there are few This is the case if there are a
    and the data does not need to be lot of data. You must create
    converted into tabular form. classes and a table.
    QUARTILE
    Three values that divided the sorted data into four equal-
    sized sections of observations each.
    QUARTILE
    FORMULA:

    • First Quartile(Q1) = ((n + 1)/4)th Term


    • Second Quartile(Q2) = ((n + 1)/2)th Term
    • Third Quartile(Q3) = (3(n + 1)/4)th Term
    EXAMPLE
    1.Calculate the median, lower quartile, upper quartile,
    and interquartile range of the following data set of
    values: 20, 19, 21, 22, 23, 24, 25, 27, 26
    2.Calculate the median, lower quartile and upper
    quartile of the following data set of values: 1, 2, 8, 4,
    5, 7, 10, 15, 11
    DECILE
    The deciles are the score points which divide a distribution
    into ten equal parts
    DECILES
    FORMULA:

    x is the value of the decile that needs to be calculated


    and ranges from 1 to 9.
    n is the total number of observations in that data set.
    Step 1: Arrange the data in increasing order
    Step 2: Identify the total number of points
    Step 3: Apply the decile formula to calculate the position of
    the required data point
    Step 4: The value of the decile can be determined as [lower
    score + (distance)(higher score - lower score)].
    Step 5: Apply steps 3 and 4 to determine the rest of the
    deciles.
    EXAMPLE
    1. Suppose a data set consists of the following
    numbers: 24, 32, 27, 32, 23, 62, 45, 80, 59, 63, 36,
    54, 57, 36, 72, 55, 51, 32, 56, 33, 42, 55, 30. The
    value of the first two deciles has to be calculated.
    2. Find the 6th and the 9th decile for the data in the
    above-mentioned example.
    PERCENTILE
    Percentiles are a type of quantiles, obtained adopting a
    subdivision into 100 groups.
    PERCENTILE
    FORMULA:

    • n = ordinal rank of the given value or value below the number


    • N = number of values in the data set
    • P = percentile
    The percentile of x is the ratio of the number of values below x to the total number
    of values multiplied by 100. the percentile formula is
    Percentile = (Number of Values Below “x” / Total Number of Values) × 100
    EXAMPLES
    1.The scores obtained by 10 students are 38, 47, 49, 58,
    60, 65, 70, 79, 80, 92. Using the percentile formula,
    calculate the percentile for score 70?
    2.The weights of 10 people were recorded in kg as 35,
    41, 42, 56, 58, 62, 70, 71, 90, 77. How to find
    percentile for the weight 58 kg?
    ACTVITY
    Direction: Solve for the quartiles using the given formula. The answer will be the
    code to open the door for the next question.

    1. 58, 57, 56, 58, 59, 58, 58, 55, 58


    2. 81, 80, 96, QQ
    87, 89, 82, 89, 78, 96, 82
    3. 31, 36, 39, 44, 33, 32, 29, 34, 30, 51

    Q1 Q2 Q3
    Thank you for
    listening!
    See you next time!

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