Amstat News (December 2004) lists median salaries for associate professors of statistics at research institutions and at liberal arts and other institutions in the United States. Assume a sample of 200 associate professors from research institutions having an average salary of $70,750 per year with a standard deviation of $6000. Assume also a sample of 200 associate professors from other types of institutions having an average salary of $65,200 with a standard deviation of $5000. Test the hypothesis that the mean salary for associate professors in research institutions is $2000 higher than for those in other institutions. Use a 0.05 level of significance. Solution needed like in the pic attached

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Amstat News (December 2004) lists median salaries for associate professors of statistics at research institutions and at liberal arts and other institutions in the United States. Assume a sample of 200 associate professors from research institutions having an average salary of $70,750 per year with a standard deviation of $6000. Assume also a sample of 200 associate professors from other types of institutions having an average salary of $65,200 with a standard deviation of $5000. Test the hypothesis that the mean salary for associate professors in research institutions is $2000 higher than for those in other institutions. Use a 0.05 level of significance. Solution needed like in the pic attached
1.
Ho u = 45, there is no increase in copies
> 45, there is an increase in copies
H,
2.
a = 0.05
3.
One tailed test
4.
Critical region t = +2.92, df = 2
5.
Test Statistic
47-45
T =
= 3.47
www.com
1 √3
6.
Decision: Reject Ho
7.
Conclusion: The increase in copies in our samples is statistically
significant. It is not the result of chance of variation.
Transcribed Image Text:1. Ho u = 45, there is no increase in copies > 45, there is an increase in copies H, 2. a = 0.05 3. One tailed test 4. Critical region t = +2.92, df = 2 5. Test Statistic 47-45 T = = 3.47 www.com 1 √3 6. Decision: Reject Ho 7. Conclusion: The increase in copies in our samples is statistically significant. It is not the result of chance of variation.
A certain printing press is known to turn out an average of
45 copies a minute. In an attempt to increase its output,
an alteration is made to the machine, and then in 3 short
test runs it turns out 46, 47, and 48 copies a minute. Is
this increase statically significant, or is it likely to be
simply the result of chance of variation? Use a significance
level of 0.05
Transcribed Image Text:A certain printing press is known to turn out an average of 45 copies a minute. In an attempt to increase its output, an alteration is made to the machine, and then in 3 short test runs it turns out 46, 47, and 48 copies a minute. Is this increase statically significant, or is it likely to be simply the result of chance of variation? Use a significance level of 0.05
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