If I have a dataset of quantitative attribute how can I find -> Q.) For every quantitative attribute, compute exactly what percentage of instances are within one standard deviation, two standard deviations, and three standard deviations of the mean. DO NOT use Chebyshev’s Theorem of the Empirical Rule. I need coding for the above question which I can use it in jupyter notebook (Python). This is the data set - VALUE 6760882 62.6 77.1 10155 417084 58.6 72.9 9521 1511816 55.5 74.2 7925 2663224 66 79.5 11075 1350660 62 76.4 10230 818098 67.7 77.1 10538 6649476 69.1 84.5 14520 390779 61.6 83.6 13192 1485125 65.8 83.6 11127 2587736 71 84.5 17081 1390429 68.5 84.6 13505 795407 73.8 86.6 14249
If I have a dataset of quantitative attribute how can I find -> Q.) For every quantitative attribute, compute exactly what percentage of instances are within one standard deviation, two standard deviations, and three standard deviations of the mean. DO NOT use Chebyshev’s Theorem of the Empirical Rule. I need coding for the above question which I can use it in jupyter notebook (Python). This is the data set - VALUE 6760882 62.6 77.1 10155 417084 58.6 72.9 9521 1511816 55.5 74.2 7925 2663224 66 79.5 11075 1350660 62 76.4 10230 818098 67.7 77.1 10538 6649476 69.1 84.5 14520 390779 61.6 83.6 13192 1485125 65.8 83.6 11127 2587736 71 84.5 17081 1390429 68.5 84.6 13505 795407 73.8 86.6 14249
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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If I have a dataset of quantitative attribute how can I find ->
Q.) For every quantitative attribute, compute exactly what percentage of instances are within one standard deviation, two standard deviations, and three standard deviations of the mean. DO NOT use Chebyshev’s Theorem of the Empirical Rule.
I need coding for the above question which I can use it in jupyter notebook (Python).
This is the data set -
VALUE |
6760882 |
62.6 |
77.1 |
10155 |
417084 |
58.6 |
72.9 |
9521 |
1511816 |
55.5 |
74.2 |
7925 |
2663224 |
66 |
79.5 |
11075 |
1350660 |
62 |
76.4 |
10230 |
818098 |
67.7 |
77.1 |
10538 |
6649476 |
69.1 |
84.5 |
14520 |
390779 |
61.6 |
83.6 |
13192 |
1485125 |
65.8 |
83.6 |
11127 |
2587736 |
71 |
84.5 |
17081 |
1390429 |
68.5 |
84.6 |
13505 |
795407 |
73.8 |
86.6 |
14249 |
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