Suppose the following hypotheses are to be tested. Ho: PA=PB and H₁: MAHB for two populations in which the population variances are known and have the values o = 12 and 0²/B = = 15 respectively. Two samples of sizes 29 and 9 respectively were collected. The data were not paired. According to the flowcharts presented in M140, which hypothesis test should be used? (You may assume that any additional requirements for your selected test, such as normality and/or equal population variances are satisfied.) Select one: Matched-pairs t-test Sign test Two-sample t-test X² test for contingency tables One-sample z-test One-sample t-test OTwo-sample z-test 000

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Suppose the following hypotheses are to be tested.
Ho : UA= UB and H₁ HANB
for two populations in which the population variances are known and have the values o² = 12 and
o = 15 respectively.
Two samples of sizes 29 and 9 respectively were collected. The data were not paired. According to the
flowcharts presented in M140, which hypothesis test should be used?
(You may assume that any additional requirements for your selected test, such as normality and/or equal
population variances are satisfied.)
Select one:
Matched-pairs t-test
Sign test
Two-sample t-test
X² test for contingency tables
One-sample z-test
One-sample t-test
Two-sample z-test
Transcribed Image Text:Suppose the following hypotheses are to be tested. Ho : UA= UB and H₁ HANB for two populations in which the population variances are known and have the values o² = 12 and o = 15 respectively. Two samples of sizes 29 and 9 respectively were collected. The data were not paired. According to the flowcharts presented in M140, which hypothesis test should be used? (You may assume that any additional requirements for your selected test, such as normality and/or equal population variances are satisfied.) Select one: Matched-pairs t-test Sign test Two-sample t-test X² test for contingency tables One-sample z-test One-sample t-test Two-sample z-test
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