1.
Describe
the 8 steps in the process for hypothesis testing. Explain the decision
criteria for rejecting the null hypothesis for both the p-value method and the
critical value method.
Answer and Explanation:
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The
remaining problems refer to the following scenario:
A
claim is made that the average salary for all jobs in Minnesota is less than
$65,000. You are going to test the claim
using
and assume that your data is normally
distributed and the population standard deviation
is not known.
2.
Write
the null and alternative hypotheses symbolically and identify which hypothesis
is the claim. Then identify if the test
is left-tailed, right-tailed, or two-tailed and explain why.
Answer and Explanation:
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3.
Identify
and explain which test statistic you will use for your hypothesis test: z or t? Find the value of the test statistic.
Answer and Explanation:
4.
What
is the critical value? Describe the
rejection region.
Answer and Explanation:
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5.
Using
the critical value approach, should you reject the null hypothesis or not
reject the null hypothesis? Explain. After
making your decision, restate it in non-technical terms and make a conclusion
about the original claim.
Answer and Explanation:
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The value of the calculated t value is -2.6840.
This value falls outside the acceptance region. So we reject the null
hypothesis at 0.05 level of significance. In other words, there is enough
evidence to support the claim that the average salary for all jobs in
Minnesota is less than $65,000.
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6. Calculate
the p-value for this hypothesis test, and state the hypothesis conclusion based
on the p-value. Does this match your
results from the critical value method?
Answer and Explanation:
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The P-value of the t score can be calculated
using a statistic software or p-value calculator. In this case, we obtain
the p-value of the test score t=-2.6840 as 0.003804 (Soper, 2017) . Since p<α, we reject the null hypothesis and
conclude that there is enough evidence to support the claim that the average
salary for all jobs in Minnesota is less than $65,000.
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References
LaMorte, W. W. (2017, November 6). Hypothesis
Testing for Means and Proportions. Retrieved from Boston University
School of Public Health:
http://sphweb.bumc.bu.edu/otlt/mph-modules/bs/bs704_hypothesistest-means-proportions3.html
Soper, D. (2017,
December 1). Free Statistics Calculators. Retrieved from Free
Statistics Calculator: https://www.danielsoper.com/statcalc/default.aspx
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