Author Question: The level of significance, in hypothesis testing, is the probability of a. accepting a true null ... (Read 119 times)

burton19126

  • Hero Member
  • *****
  • Posts: 532
The level of significance, in hypothesis testing, is the probability of
 a. accepting a true null hypothesis.
  b. accepting a false null hypothesis.
  c. rejecting a true null hypothesis.
  d. rejecting a false null hypothesis.

Question 2

The error of rejecting a true null hypothesis is
 a. a Type I error.
  b. a Type II error.
  c. always negligible in hypothesis testing.
  d. never committed in hypothesis testing.



k.lashomb

  • Sr. Member
  • ****
  • Posts: 346
Answer to Question 1

c

Answer to Question 2

a



Related Topics

Need homework help now?

Ask unlimited questions for free

Ask a Question
 

Did you know?

People often find it difficult to accept the idea that bacteria can be beneficial and improve health. Lactic acid bacteria are good, and when eaten, these bacteria improve health and increase longevity. These bacteria included in foods such as yogurt.

Did you know?

In the United States, an estimated 50 million unnecessary antibiotics are prescribed for viral respiratory infections.

Did you know?

There are over 65,000 known species of protozoa. About 10,000 species are parasitic.

Did you know?

The most common treatment options for addiction include psychotherapy, support groups, and individual counseling.

Did you know?

In Eastern Europe and Russia, interferon is administered intranasally in varied doses for the common cold and influenza. It is claimed that this treatment can lower the risk of infection by as much as 60–70%.

For a complete list of videos, visit our video library