Author Question: A Type II error is represented by ; it is the probability of failing to reject a false null ... (Read 107 times)

Deast7027

  • Hero Member
  • *****
  • Posts: 538
A Type II error is represented by ; it is the probability of failing to reject a false null hypothesis.
  Indicate whether the statement is true or false

Question 2

Test the hypotheses H0: There is no first-order autocorrelation vs. H1: There is positive first-order autocorrelation, given that: Durbin-Watson Statistic d = 1.12, n = 45, k = 5, and  = 0.05.



soda0602

  • Sr. Member
  • ****
  • Posts: 313
Answer to Question 1

T

Answer to Question 2

dL = 1.29 and dU = 1.78
The decision is made as follows:
If d < dL = 1.29, reject H0 and conclude that positive autocorrelation is present.
If 1.29 = dL  d  dU = 1.78, we say that the test is inconclusive.
If d  dU = 1.78, we conclude that there is no evidence of positive autocorrelation.
Since d = 1.12, we reject H0 and conclude that positive autocorrelation is present.



Related Topics

Need homework help now?

Ask unlimited questions for free

Ask a Question
 

Did you know?

Russia has the highest death rate from cardiovascular disease followed by the Ukraine, Romania, Hungary, and Poland.

Did you know?

Acetaminophen (Tylenol) in overdose can seriously damage the liver. It should never be taken by people who use alcohol heavily; it can result in severe liver damage and even a condition requiring a liver transplant.

Did you know?

Alcohol acts as a diuretic. Eight ounces of water is needed to metabolize just 1 ounce of alcohol.

Did you know?

Medication errors are more common among seriously ill patients than with those with minor conditions.

Did you know?

Dogs have been used in studies to detect various cancers in human subjects. They have been trained to sniff breath samples from humans that were collected by having them breathe into special tubes. These people included 55 lung cancer patients, 31 breast cancer patients, and 83 cancer-free patients. The dogs detected 54 of the 55 lung cancer patients as having cancer, detected 28 of the 31 breast cancer patients, and gave only three false-positive results (detecting cancer in people who didn't have it).

For a complete list of videos, visit our video library