Consider the following data:
62 61 83 92 67 89 83 50 80 69 95 50 73 71 73 88 66 89 73 51 58 86 73 57 67 80 59 86 62 95 63 88 59 64 54 78 84 77 71 82 82 83 81 97 60 85 61 55 80 72
Make frequency distribution using 5 classes and find the following:
Arithmetic Mean
Median
Mode
All quartiles
3rd Deciles
46th Percentile
Coefficient of Skewness
Semi Inter Quartile Range (SIQR)
Standard Deviation
Mean Deviation
Variance
Sketch Histogram
Sketch OGIVE
Arithmetic Mean:
"\\mu=\\frac{\\sum x_i}{n}=\\frac{3664}{50}=73.28"
Put numbers in increasing order:
"50,50,51,54,55,57,58,59,59,60,61,61,62,62,63,64,66,67,67,69,71,71,72,"
"73,73,73,73,77,78,80,80,80,81,82,82,83,83,83,84,85,86,86,88,88,89,89,"
"92,95,95,97"
Median (the number in the middle of the list):
"m=73"
Mode (the number which appears most often in a set of numbers):
"M=73"
Quartiles:
1st quartile is number on the (N/4)th place:
"Q_1=61"
2nd quartile is median:
"Q_2=m=73"
3rd quartile is number on the (3N/4)th place:
"Q_3=84"
3rd Decile:
"D_3=value\\ of\\ 3(50+1)\/10=1.7th\\ number", which is 0.7 of the way between 1st and 2nd numbers (50 and 50).
"D_3=50"
46th Percentile:
The 46th percentile is the lowest number in a data set that is greater than 46% of the numbers:
index="0.46\\cdot50=23"
"Q_{46}=N_{24}=73"
Coefficient of Skewness:
"S_k=3\\frac{\\mu-m}{\\sigma}"
"\\sigma=\\sqrt{\\frac{\\sum (x_i-\\mu)^2}{n}}=\\sqrt{\\frac{7971.9216}{50}}=12.63"
"S_k=\\frac{72.28-73}{12.63}=0.022"
Semi Inter Quartile Range (SIQR):
"SIQR=\\frac{Q_3-Q_1}{2}=\\frac{84-61}{2}=11.5"
Standard Deviation:
"\\sigma=12.63"
Mean Deviation:
"MD=\\frac{\\sum |x_i-\\mu|}{n}=\\frac{555.12}{50}=11.10"
Variance:
"V=\\sigma_2=12.63^2=159.52"
Histogram:
OGIVE:
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