Fill in the blanks as they relate to the Central Limit Theory:
As the sample size the distribution of the can be approximated as .
Match the percentages with the number of standard deviations (sigma) for a normal distribution.
68%
95%
99.7%
You are looking at a precipitation dataset that meets the requirements for the Central Limit Theory. 3 inches of rain fell and you want to compare it to the mean. Match the hypothesis type with the question.
Which DOES NOT meet the requirements for parametric hypothesis testing?
- The data is not random..
- The data is normally distributed..
- The data is independently sampled..
My data is normally distributed and the sample size is small. What test statistic would I use for hypothesis testing?
- Z-test.
- t-test.
Fill in the missing words with resepect to the approach for hypothesis testing.
The approach does not depend on whether the test is lower, upper, or two-sided. While the approach does.
Match the type of hypothesis test with the p-value decision rule.
Lower Tail Test
Upper Tail Test
Two Sided Test
Would you reject the null in these cases?
alpha=0.05
test=two-sided
p-value=0.02
alpha=0.05
test=upper
p-value=0.054
alpha=0.01
test=two-sided
p-value=2e-6
alpha=0.01
test=lower
p-value=0.05
Which is wrong?
- Accept the null.
- Reject the Null in favor of the Alternative.
- Fail to reject the null.