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We are comparing two samples during a hypothesis test. Sample A has a z-test statistic of 1.58 and sample B has a z-test statistic of -0.34. We can say then that... O If H-naught is true, then Sample B has a higher probability of occurring while Sample A has a lower probability of occurring. If H-naught is true, then Sample A has a higher probability of occurring while Sample B has a lower probability of occurring. We reject the null hypothesis. If H-naught is rejected, then Sample A has a higher probability of occurring while Sample B has a lower probability of occurring.

We are comparing two samples during a hypothesis test. Sample A has a z-test statistic of 1.58 and sample B has a z-test statistic of -0.34. We can say then that... O If H-naught is true, then Sample B has a higher probability of occurring while Sample A has a lower probability of occurring. If H-naught is true, then Sample A has a higher probability of occurring while Sample B has a lower probability of occurring. We reject the null hypothesis. If H-naught is rejected, then Sample A has a higher probability of occurring while Sample B has a lower probability of occurring.

MATLAB: An Introduction with Applications
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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We are comparing two samples during a hypothesis test. Sample A has a z-test statistic of 1.58 and sample B has a z-test statistic of -0.34. We can say then that... If H-naught is true, then Sample B has a higher probability of occurring while Sample A has a lower probability of occurring. If H-naught is true, then Sample A has a higher probability of occurring while Sample B has a lower probability of occurring. We reject the null hypothesis. If H-naught is rejected, then Sample A has a higher probability of occurring while Sample B has a lower probability of occurring.
Transcribed Image Text:We are comparing two samples during a hypothesis test. Sample A has a z-test statistic of 1.58 and sample B has a z-test statistic of -0.34. We can say then that... If H-naught is true, then Sample B has a higher probability of occurring while Sample A has a lower probability of occurring. If H-naught is true, then Sample A has a higher probability of occurring while Sample B has a lower probability of occurring. We reject the null hypothesis. If H-naught is rejected, then Sample A has a higher probability of occurring while Sample B has a lower probability of occurring.
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