EBK INTRODUCTION TO THE PRACTICE OF STA
EBK INTRODUCTION TO THE PRACTICE OF STA
8th Edition
ISBN: 9781319116828
Author: Moore
Publisher: VST
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Chapter 10, Problem 56E

(a)

To determine

To find: A better model using a transformation of length and make a plot and perform the regression analysis.

(b)

To determine

To explain: A short report summarizing and comparing the different regression analyses to previous two exercises.

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In some applications the distribution of a discrete RV, X resembles the Poisson distribution except that 0 is not a possible value of X. Consider such a RV with PMF where 1 > 0 is a parameter, and c is a constant. (a) Find the expression of c in terms of 1.   (b) Find E(X). (Hint: You can use the fact that, if Y ~ Poisson(1), the E(Y) = 1.)
Suppose that X ~Bin(n,p). Show that E[(1 - p)] = (1-p²)".
I need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)
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