Question

Match each term with the phrase that best fits. (Not all phrases will be used, only one phrase per term)

1. Confidence interval
2. Hypothesis test
3. Margin of error
4. Standard error
5. Null hypothesis
6. Test Statistic
7. P-value
8. Critical value

1. A measure of the variability of a statistic.
2. States that the parameter of interest is equal to a given value.
3. Quantifies the difference between the observed data and what would be expected if the null hypothesis were true.
4. Describes how much a statistic is likely to differ from the parameter.
5. States that the parameter of interest is something other than a specified value.
6. A type of inference best used for estimation.
7. A value that facilitates obtaining a desired level of confidence.
8. A type of inference best used for comparison.
9. The probability that the null hypothesis is true.
10. The probability of getting data at least as extreme as those observed if the null hypothesis is true.

Answer 1

a) Confidence interval- A type of inference best used for estimation.

b) Hypothesis test-States that the parameter of interest is something other than a specified value.

c) Margin of error -Describes how much a statistic is likely to differ from the parameter.

d) Standard error -A measure of the variability of a statistic.

e) Null Hypothesis- States that the parameter of interest is equal to a given value.

f) Test Statistic - Quantifies the difference between the observed data and what would be expected if the null hypothesis were true.

g) P value-The probability of getting data at least as extreme as those observed if the null hypothesis is true

h) Critical value- A value that facilitates obtaining a desired level of confidence.