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# Statistics

Use the following table when answering Questions 44 - 48:
Data Indicates You Should: The Actual Situation:
H0 is True HA is True
Believe H0
Believe HA A
C B
D

44. The correct missing description of the conditions defined by cell A is
a. Type I error committed.
b. Type II error committed.
c. you correctly believe a true null hypothesis.
d. you correctly reject the null hypothesis.
e. None of the above

45. The correct missing description of the conditions defined by cell B is
a. Type I error committed.
b. Type II error committed.
c. you correctly believe a true null hypothesis.
d. you correctly reject the null hypothesis.
e. None of the above

46. The correct missing description of the conditions defined by cell C is
a. Type I error committed.
b. Type II error committed.
c. you correctly believe a true null hypothesis.
d. you correctly reject the null hypothesis.
e. None of the above

47. The correct missing description of the conditions defined by cell D is
a. Type I error committed.
b. Type II error committed.
c. you correctly believe a true null hypothesis.
d. you correctly reject the null hypothesis.
e. None of the above

48. As the probability of making a Type I error increases
a. &#61537; decreases.
b. &#61538; increases.
c. &#61537; + &#61538; increases
d. Nothing will change
e. &#61538; decreases

See attached file for full problem description.

#### Solution Preview

Type I error, also known as an "error of the first kind", an &#945; error, or a "false positive": the error of rejecting a null hypothesis when it is actually true. In other words, this is the error of accepting an alternative hypothesis (the real hypothesis of interest) when the results can be attributed to ...

#### Solution Summary

The solution answers a lot of multiple choice questions related to statistics and hypothesis testing

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