Let X ~ N(μx, o) and Y ~ N(µy, o?). Suppose we are given the following indepen- dently sampled data for X and Y³: sample for X sample for Y : 24.8 12.8 11.1 11.1 15.9 12.2 18.3 8.9 5.6 12.8 17.3 11.3 : 26.6 26.3 25.2 23.3 22 20.2 26.1 21.1 14.6 14.5 21.8 22.8 21.5 22.3 31 11.5 Compute a 95% confidence interval of μx - μy (i) using the knowledge that o = o} = 4.7; (ii) assuming we do not know the values of ox, oy, but we still know that ox = 0y = 0 for some unknown σ.
Let X ~ N(μx, o) and Y ~ N(µy, o?). Suppose we are given the following indepen- dently sampled data for X and Y³: sample for X sample for Y : 24.8 12.8 11.1 11.1 15.9 12.2 18.3 8.9 5.6 12.8 17.3 11.3 : 26.6 26.3 25.2 23.3 22 20.2 26.1 21.1 14.6 14.5 21.8 22.8 21.5 22.3 31 11.5 Compute a 95% confidence interval of μx - μy (i) using the knowledge that o = o} = 4.7; (ii) assuming we do not know the values of ox, oy, but we still know that ox = 0y = 0 for some unknown σ.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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