### Conducting a Hypothesis Test at the 10% Significance LevelSuppose we are conducting the following hypothesis test at the 10% significance level:- **Null Hypothesis (H0)**: μ₁ - μ₂ = 0- **Alternative Hypothesis (Ha)**: μ₁ - μ₂ < 0Assume equal population variances.Given:- Sample size for the first sample (n₁) = 9- Sample size for the second sample (n₂) = 7**Question**: What critical value forms the rejection region?**Options**:- \( t = -1.345 \)- \( z = 1.28 \)- \( t = 1.345 \)- \( z = -1.28 \)To identify the correct critical value for the rejection region, we need to consider the appropriate t-distribution or z-distribution for the given significance level, sample sizes, and alternative hypothesis.In hypothesis testing, the rejection region is determined based on the calculated critical value which, in this context, is set by the lower tail of the distribution because the alternative hypothesis is a one-tailed test (μ₁ - μ₂ < 0).

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Suppose we are conducting the following hypothesis test at the 10% significance level. HO: µ1 - µ2 = 0 Ha: µ1 - µ2 < 0 Assume equal population variances. If n1 = 9 and n2 = 7, what critical value forms the rejection region? %3D Ot=-1.345 O z = 1.28 Ot= 1.345 O z = -1.28

Suppose we are conducting the following hypothesis test at the 10% significance level. HO: µ1 - µ2 = 0 Ha: µ1 - µ2 < 0 Assume equal population variances. If n1 = 9 and n2 = 7, what critical value forms the rejection region? %3D Ot=-1.345 O z = 1.28 Ot= 1.345 O z = -1.28

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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