Question

1. Explain how to determine the null and alternative hypothesis, claim, and if the hypothesis test is left- tailed, right-tailed or two-tailed. 2. What is a test statistic? Explain how to use test statistics and critical values to determine if sample data disagrees with the null hypothesis. 3. Explain the basic idea of P-value. 4. Assuming the null hypothesis is true, explain how to use the P-value and the significance level to determine if the sample data could have occurred by sampling variability or if it is unlikely. 5. Explain how to determine if we should reject or fail to reject the null hypothesis. 6. Explain how to write the four possible conclusions to a hypothesis test that addresses claim and evidence. 7. Explain a Type 1 and Type 2 Errors. Why they occur? What steps can we take to limit the chances of making a Type 1 or Type 2 Error?

          1. Explain how to determine the null and alternative
hypothesis, claim, and if the hypothesis test is left-
tailed, right-tailed or two-tailed.
2. What is a test statistic? Explain how to use test statistics
and critical values to determine if sample data disagrees
with the null hypothesis.
3. Explain the basic idea of P-value.
4. Assuming the null hypothesis is true, explain how to use
the P-value and the significance level to determine if the
sample data could have occurred by sampling variability
or if it is unlikely.
5. Explain how to determine if we should reject or fail to
reject the null hypothesis.
6. Explain how to write the four possible conclusions to a
hypothesis test that addresses claim and evidence.
7. Explain a Type 1 and Type 2 Errors. Why they occur?
What steps can we take to limit the chances of making a
Type 1 or Type 2 Error?

1. Explain how to determine the null and alternative
hypothesis, claim, and if the hypothesis test is left-
tailed, right-tailed or two-tailed.
2. What is a test statistic? Explain how to use test statistics
and critical values to determine if sample data disagrees
with the null hypothesis.
3. Explain the basic idea of P-value.
4. Assuming the null hypothesis is true, explain how to use
the P-value and the significance level to determine if the
sample data could have occurred by sampling variability
or if it is unlikely.
5. Explain how to determine if we should reject or fail to
reject the null hypothesis.
6. Explain how to write the four possible conclusions to a
hypothesis test that addresses claim and evidence.
7. Explain a Type 1 and Type 2 Errors. Why they occur?
What steps can we take to limit the chances of making a
Type 1 or Type 2 Error?

Added by Nicholas S.

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