Here you will learn what is combined mean formula and how to find combined mean with examples. Let’s begin – Combined Mean Formula If ¯x1 and ¯x2 be the means of two groups having n1 and n2 terms respectively then the mean(combined mean) of their composite group is given by Combined mean = \(n_1\bar{x_1} + […]
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Here you will learn what is weighted mean formula and how to calculate weighted mean with examples. Let’s begin – Weighted Mean Formula If w1, w2, ……wn are the weights assigned to the values x1, x2, …..xn respectively then their weighted mean is defined as Weighted mean = \(w_1x_1 + w_2x_2 +……+ w_nx_n\over {w_1 +…….+
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Here you will learn what is the formula for mode of grouped and ungrouped data and how to find mode with examples. Let’s begin – What is Mode ? Mode is the size of the variable which occurs most frequently. Formula for Mode : (i) For ungrouped distribution : The value of that variate which is
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Here you will learn what is the formula for median of grouped and ungrouped data and how to find median with examples. Let’s begin – What is Median ? Median is defined as the measure of central term when they are arranged in ascending or descending order of magnitude. Formula for Median : (i) For
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Here you will learn what is the formula for mean of grouped and ungrouped data and how to find mean with examples. Let’s begin – The formula for mean median and mode for grouped and ungrouped frequency distribution is given below. Formula for Mean : (i) For ungrouped distribution : If x1, x2, …… xn are
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Here you will learn what is the mean deviation formula with examples. Let’s begin – Mean Deviation Formula (i) For Ungrouped distribution : Definition : If x1, x2, ….. , xn are n values of a variable X, then the mean deviation from an average A (median or arithmetic mean) is given by Mean Deviation
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Here you will learn some statistics examples for better understanding of statistics concepts. Example 1 : If mean of the seies x1, x2, ….. , xn is ˉx, then the mean of the series xi + 2i, i = 1, 2, ……, n will be- Solution : As given ˉx = \(x_1 + x_2 +
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Here you will learn how to solve mean by using step deviation method and by short method and properties of mean. Let’s begin – Mean By Short Method If the value of xi are large, then calculation of A.M. by using mean formula is quite tedious and time consuming. In such case we take deviation
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Here you will learn mean square deviation formula and relation between mean square deviation and variance with example. Let’s begin – Mean Square Deviation Formula The mean square deviation of a distribution is the mean of the square of deviations of variate from assumed mean. It is denoted by S2. Hence S2 = \(\sum{x_i –
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Here, you will learn what are the measures of dispersion in statistics i.e. range, mean deviation, variance and standard deviation with example. Let’s begin – Measures of Dispersion : The dispersion of a statistical distribution is the measure of deviation of its values about the their average(central) value. It gives an idea of scatteredness of
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