DATA Smallest to larger number order. 46.32 66.54 78.68 86.31 91.28 93.88 96.17 98.18 99.02 104.32 104.7 106.58 108.02 108.77 116.56 117.12 117.15 119.73 123.95 124.9 125.95 128.32 129.19 131.27 131.31 133.55 134.51 137.34 139.16 140.98 141.42 142.51 143.45 147.25 152.66 156.05 158.39 159.07 159.96 167.06 167.35 169.54 172.01 175.1 176.95 182.63 183.57 198.86 201.67 217.31 cumula Relative Mid point (X m) = freque tive interval boundary ncy (f) frequen ES Class Class frequency f x Xm lower + upper су 2 = 0. 04 50 46+70 46-70 45.5-70.5 2 = 58 2 x 58 = 116 4 71-95 70.5-95.5 4 = 0. 08 50 83 332 12 = 0. 24 50 96-120 95.5-120.5 12 18 108 1296 121-145 15 = 0. 30 50 120.5-145.5 15 33 133 1995 146-170 145.5-170.5 9 42 = 0. 18 50 158 1422 5. 171-195 170.5-195.5 5 47 = 0. 10 50 183 915 3 196-220 195.5-220.5 3 50 = 0. 06 50 208 624 5. CREATE A BOXPL OT DATA AND CHECK FOR OUTIIERS 因 ||
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
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