Author Question: The level of significance, in hypothesis testing, is the probability of a. accepting a true null ... (Read 107 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?

The FDA recognizes 118 routes of administration.

Did you know?

Though the United States has largely rejected the metric system, it is used for currency, as in 100 pennies = 1 dollar. Previously, the British currency system was used, with measurements such as 12 pence to the shilling, and 20 shillings to the pound.

Did you know?

Nearly all drugs pass into human breast milk. How often a drug is taken influences the amount of drug that will pass into the milk. Medications taken 30 to 60 minutes before breastfeeding are likely to be at peak blood levels when the baby is nursing.

Did you know?

The first oncogene was discovered in 1970 and was termed SRC (pronounced "SARK").

Did you know?

When blood is exposed to air, it clots. Heparin allows the blood to come in direct contact with air without clotting.

For a complete list of videos, visit our video library