Problem 3. Given the following dataset:item1310.854780 2.940656 0.6275792-2.608538 3.223424 0.17973932.1113692.647818 0.97792040.295153 3.180525 1.0270330.046809 3.509254 2.7998466.-0.229770 3.436737 0.1299231.2365002.656545 0.761414-0.766021 3.075824 0.369941-0.701157 3.049471 0.80019310-0.977820 3.318038 1.317061(a) Estimate the mean of r1, 12 and r3 respectively.(b) Estimate the variance of r1, r2 and r3 respectively.(c) Estimate the 7th moment of x1, x2 and r3 respectively.(d) Based on the above information, identify an item that is most probably an outlier.

Importing the modules and dataset :

Estimate the mean of 11, 12 and 13 respectively. Estimate the variance of r1, 12 and 13 respectively. Estimate the 7th moment of 11, 12 and 13 respectively. Based on the above information, identify an item that is most probably an outlier.

Estimate the mean of 11, 12 and 13 respectively. Estimate the variance of r1, 12 and 13 respectively. Estimate the 7th moment of 11, 12 and 13 respectively. Based on the above information, identify an item that is most probably an outlier.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Temporal difference learning

Temporal difference learning (TD learning) is a concept in machine learning that attributes to a class of model-free reinforcement learning methods. The technique predicts a reward or quantity depending on the future values of the value function.

Question

Problem 3. Given the following dataset:
item
13
1
0.854780 2.940656 0.627579
2
-2.608538 3.223424 0.179739
3
2.111369
2.647818 0.977920
4
0.295153 3.180525 1.027033
0.046809 3.509254 2.799846
6.
-0.229770 3.436737 0.129923
1.236500
2.656545 0.761414
-0.766021 3.075824 0.369941
-0.701157 3.049471 0.800193
10
-0.977820 3.318038 1.317061
(a) Estimate the mean of r1, 12 and r3 respectively.
(b) Estimate the variance of r1, r2 and r3 respectively.
(c) Estimate the 7th moment of x1, x2 and r3 respectively.
(d) Based on the above information, identify an item that is most probably an outlier.

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Step 3 B ) Calculating the variance :

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Step 4 C) Calculating the moment :

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Step 5 D ) Finding Outliers:

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Step 6 Confirming about outliers :

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