Author Question: The level of significance, in hypothesis testing, is the probability of a. accepting a true null ... (Read 41 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?

Side effects from substance abuse include nausea, dehydration, reduced productivitiy, and dependence. Though these effects usually worsen over time, the constant need for the substance often overcomes rational thinking.

Did you know?

Serum cholesterol testing in adults is recommended every 1 to 5 years. People with diabetes and a family history of high cholesterol should be tested even more frequently.

Did you know?

Amoebae are the simplest type of protozoans, and are characterized by a feeding and dividing trophozoite stage that moves by temporary extensions called pseudopodia or false feet.

Did you know?

If you use artificial sweeteners, such as cyclamates, your eyes may be more sensitive to light. Other factors that will make your eyes more sensitive to light include use of antibiotics, oral contraceptives, hypertension medications, diuretics, and antidiabetic medications.

Did you know?

The Romans did not use numerals to indicate fractions but instead used words to indicate parts of a whole.

For a complete list of videos, visit our video library