In a test of hypotheses Ho : µ = 456 versus H1 : µ < 456, the rejection region is the interval (-0, -1.796], the value of the sample mean computed from a sample of size 12 is ī = 453, and the value of the test statistic is t = -2.598. The correct decision and justification are: (a) Do not reject Ho because the sample is small. (b) Do not reject Ho because -2.598 < -1.796. (c) Reject Ho because 453 is less than 456. (d) Reject Ho because -2.598 is negative. (e) Reject Ho because -2.598 lies in the rejection region.

In a test of hypotheses Ho : µ = 456 versus H1 : µ < 456, the rejection region is the interval (-0, -1.796], the value of the sample mean computed from a sample of size 12 is ī = 453, and the value of the test statistic is t = -2.598. The correct decision and justification are: (a) Do not reject Ho because the sample is small. (b) Do not reject Ho because -2.598 < -1.796. (c) Reject Ho because 453 is less than 456. (d) Reject Ho because -2.598 is negative. (e) Reject Ho because -2.598 lies in the rejection region.

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Description: In a test of hypotheses Ho : µ = 456 versus H1 : µ < 456, the rejection region is the interval(-∞0, –1.796], the value of the sample mean computed from a sample of size 12 is ī = 453, and thevalue of the test statistic is t = -2.598. The correct dec

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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2-Proportion Test

In a 2-proportion test, two separate proportions are measured at the same time, and their similarity is evaluated. It is also known as a 2-proportion z-test, and a comparison of two different proportions is done in this method.

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In a test of hypotheses Ho : µ = 456 versus H1 : µ < 456, the rejection region is the interval
(-∞0, –1.796], the value of the sample mean computed from a sample of size 12 is ī = 453, and the
value of the test statistic is t = -2.598. The correct decision and justification are:
(a) Do not reject Họ because the sample is small.
(b) Do not reject Họ because –2.598 < –1.796.
(c) Reject Ho because 453 is less than 456.
(d) Reject Ho because -2.598 is negative.
(e) Reject Ho because -2.598 lies in the rejection region.

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