Stats Outline

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    4.2 Arithmetic Mean

    This is the most commonly used average which you have also studied and used in lower grades.Here are two definitions given by two great masters of statistics.

    Horace Sacrist : Arithmetic mean is the amount secured by dividing the sum of values of theitems in a series by their number.

    W.I. King : The arithmetic average may be defined as the sum of aggregate of a series of itemsdivided by their number.

    4.4 Median

    It is the value of the size of the central item of the arranged data (data arranged in the ascendingor the descending order). Thus, it is the value of the middle item and divides the series in to equalparts.

    4.5 Mode

    It is the size of that item which possesses the maximum frequency. According to Professor

    Kenney and Keeping, the value of the variable which occurs most frequently in a distribution iscalled the mode.

    5.3 Range

    In any statistical series, the difference between the largest and the smallest values is called asthe range.

    5.4 Mean Deviation

    Average deviations ( mean deviation ) is the average amount of variations (scatter) of the items ina distribution from either the mean or the median or the mode, ignoring the signs of thesedeviations by Clark and Senkade.

    5.5 Variance

    The term variance was used to describe the square of the standard deviation R.A. Fisher in 1913.

    Standard Deviation (s. d.)

    It is the square root of the arithmetic mean of the square deviations of various values from theirarithmetic mean. it is denoted by s.d. or s.

    5.7 Percentile

    The nth percentile is that value ( or size ) such that n% of values of the whole data lies below it.

    For example, a score of 7% from the topmost score would be 93 the percentile as it is above 93%of the other scores.

    5.8 Quartiles And Interquartile Range

    If we concentrate on two extreme values ( as in the case of range ), we dont get any idea aboutthe scatter of the data within the range ( i.e. the two extreme values ). If we discard these twovalues the limited range thus available might be more informative. For this reason the concept ofinterquartile range is developed. It is the range which includes middle 50% of the distribution.Here 1/4 ( one quarter of the lower end and 1/4 ( one quarter ) of the upper end of the

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    observations are excluded.

    5.10 Kurtosis

    It has its origin in the Greek word "Bulginess." In statistics it is the degree of flatness orpeakedness in the region of mode of a frequency curve. It is measured relative to thepeakedness of the normal curve. It tells us the extent to which a distribution is more peaked orflat-topped than the normal curve. If the curve is more peaked than a normal curve it is calledLepto Kurtic. In this case items are more clustered about the mode. If the curve is more flat-toped than the more normal curve, it is Platy-Kurtic. The normal curve itself is known as "MesoKurtic."