Confidence and Sample Hypothesis Testing MCQs

Confidence and Sample Hypothesis Testing MCQs

Confidence and Sample Hypothesis Testing MCQs extensive collection that cover a wide range of topics to enhance your knowledge. We offer comprehensive MCQ resource to test your Confidence and Sample Hypothesis Testing knowledge.

1: In hypothesis testing, this cutoff point for which a researcher considers an insufficiently improbable value that is the outcome of the null region is known as Alpha level?

A.   True

B.   False

2: Degrees of freedom is the number of observations of data that are free to vary before constraints are violated when ______statistical parameters.

A.   Calculating

B.   Inferential statistics

C.   Degrees of freedom

D.   Point estimate

3: __________ statistical tests that relate observed sample data to unobserved population characteristics.

A.   Inferential

B.   One-tailed test

C.   Point estimate

D.   P-value

4: _________ is in hypothesis testing, this refers to when the critical area to reject the null is either in the right or left tail of the distribution, but not both.

A.   Inferential

B.   One-tailed test

C.   Point estimate

D.   P-value

5: The singular value in a probability sample that is obtained to approximate the population parameter

A.   Inferential

B.   One-tailed test

C.   Point estimate

D.   P-value

6: Short for probability of error value is known as ?

A.   Inferential

B.   One-tailed test

C.   Point estimate

D.   P-value

7: The part of distribution that is furthest from the mean is known as ?

A.   Tails of a distribution

B.   T-distribution

C.   Two-tailed test

D.   Z- distribution

8: T-distribution is a probability distribution used to estimate population parameters when the sample size is large and/or the population variance is unknown.

A.   True

B.   False

9: In hypothesis testing, this refers to when the critical area to reject the null can be in the right or left tail of the distribution is known as Two-tailed test.

A.   True

B.   False

10: Z- distribution is otherwise known as the normal distribution, this distribution helps find probabilities and percentiles of small , discontinuous , randomly selected data.

A.   True

B.   False