In testing the hypothesis H 0 800 vs H a 800 A sample of size ...

In testing the hypothesis H0:Â Â Î¼ = 800 vs. Ha:Â Â Î¼ â‰ 800. A sample of size 40...

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Statistics

In testing the hypothesis H₀:Â Â Î¼ = 800 vs.H_a:Â Â Î¼ â‰ 800. A sample of size 40 is chosen.the sample mean was found to be 812.5 with a standard deviation of25, then the of the test statistic is:
Z=0.0401
Z=-3.16
Z=3.16
Z=12.5
In a sample of 500 voters, 400indicated they favor the incumbent governor.Â Â The 95%confidence
interval of votersnot favoring the incumbent is
0.782 to 0.818
0.120 to 0.280
0.765 to 0.835
0.165 to 0.235
A Type II error is committed if we make:
a correct decision when the null hypothesis is false
correct decision when the null hypothesis is true
incorrect decision when the null hypothesis is false
incorrect decision when the null hypothesis is true
What is the value of z _Î±/2 for an 85% confidenceinterval?
1.44
.385
.0279
.19
A random sample of size 15 taken from a normally distributedpopulation revealed a sample mean of 75 and a sample variance of25. The upper limit of a 95% confidence interval for the populationmean would equal:
77.769
72.231
72.727
77.273

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3.6 Ratings (429 Votes)

Here we have to test thatwhere n sample size 40Sample mean Sample standard deviation s 25Here population standard deviation is not known but sample sizen is large n 40 See Answer

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		a correct decision when the null hypothesis is false
		correct decision when the null hypothesis is true
		incorrect decision when the null hypothesis is false
		incorrect decision when the null hypothesis is true