Consider a random sample X1, X2, ....., X30 of size 30, drawn from a normal distribution with µ= 30, find maximum likelihood estimator of the population variance σ2 . a) Is the maximum likelihood estimator obtained in part (i) biased? Justify your answe

Consider a random sample X1, X2, ....., X30 of size 30, drawn from a normal distribution with µ= 30, find maximum likelihood estimator of the population variance σ2 . a) Is the maximum likelihood estimator obtained in part (i) biased? Justify your answe

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.5: Comparing Sets Of Data

Problem 14PPS

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Question

Consider a random sample X1, X2, ....., X30 of size 30, drawn from a
normal distribution with µ= 30, find maximum likelihood estimator of the
population variance σ2 .
a) Is the maximum likelihood estimator obtained in part (i) biased?
Justify your answer.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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