s] A random sample of 20 nominally measured of the length of a plastic ball is taken and the lengths are measured precisely. The measurements, in mm, are as follows: 2.02 1.94 2.09 1.95 1.98 2.00 1.03 2.04 2.08 2.07 1.99 1.96 1.99 1.95 1.99 1.99 2.03 2.05 2.01 2.03 From the data, we calculate EX = 39.19, Ex² = 77.7377 Assuming that the lengths are normally distributed with unknown mean u, and unknown variance 82 i. find a 90% confidence interval for the standard deviation o. Interpret your results. find a 90% confidence interval for the variance o?. Interpret your results. ii.

s] A random sample of 20 nominally measured of the length of a plastic ball is taken and the lengths are measured precisely. The measurements, in mm, are as follows: 2.02 1.94 2.09 1.95 1.98 2.00 1.03 2.04 2.08 2.07 1.99 1.96 1.99 1.95 1.99 1.99 2.03 2.05 2.01 2.03 From the data, we calculate EX = 39.19, Ex² = 77.7377 Assuming that the lengths are normally distributed with unknown mean u, and unknown variance 82 i. find a 90% confidence interval for the standard deviation o. Interpret your results. find a 90% confidence interval for the variance o?. Interpret your results. ii.

Name: s] A random sample of 20 nominally measured of the length of a plasti
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Description: s] A random sample of 20 nominally measured of the length of a plastic ball is taken andthe lengths are measured precisely. The measurements, in mm, are as follows:2.02 1.94 2.09 1.95 1.98 2.00 1.03 2.04 2.08 2.071.99 1.96 1.99 1.95 1.99 1.99 2.03 2

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.

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s] A random sample of 20 nominally measured of the length of a plastic ball is taken and
the lengths are measured precisely. The measurements, in mm, are as follows:
2.02 1.94 2.09 1.95 1.98 2.00 1.03 2.04 2.08 2.07
1.99 1.96 1.99 1.95 1.99 1.99 2.03 2.05 2.01 2.03
From the data, we calculate EX = 39.19, Ex² = 77.7377
Assuming that the lengths are normally distributed with unknown mean µ, and unknown variance 82
i.
find a 90% confidence interval for the variance o?. Interpret your results.
ii.
find a 90% confidence interval for the standard deviation o . Interpret your results.

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