This topic contains a solution. Click here to go to the answer

Author Question: Which of the following is a correct interpretation of a 90 confidence interval? a. 90 of the random ... (Read 111 times)

bb

  • Hero Member
  • *****
  • Posts: 544
Which of the following is a correct interpretation of a 90 confidence interval?
 a. 90 of the random samples you could select would result in intervals that contain the true population value.
  b. 90 of the population values should be close to our sample results.
  c. Once a specific sample has been selected, the probability that its resulting confidence interval contains the true population value is 90.
  d. All of the above statements are true.

Question 2

What is the most common level of confidence used to construct confidence intervals?
 a. 5
  b. 90
  c. 95
  d. 100



Related Topics

Need homework help now?

Ask unlimited questions for free

Ask a Question
Marked as best answer by a Subject Expert

Kimmy

  • Sr. Member
  • ****
  • Posts: 342
Answer to Question 1

A

Answer to Question 2

C




Kimmy

  • Sr. Member
  • ****
  • Posts: 342

 

Did you know?

Hyperthyroidism leads to an increased rate of metabolism and affects about 1% of women but only 0.1% of men. For most people, this increased metabolic rate causes the thyroid gland to become enlarged (known as a goiter).

Did you know?

Thyroid conditions cause a higher risk of fibromyalgia and chronic fatigue syndrome.

Did you know?

Though methadone is often used to treat dependency on other opioids, the drug itself can be abused. Crushing or snorting methadone can achieve the opiate "rush" desired by addicts. Improper use such as these can lead to a dangerous dependency on methadone. This drug now accounts for nearly one-third of opioid-related deaths.

Did you know?

The ratio of hydrogen atoms to oxygen in water (H2O) is 2:1.

Did you know?

In the United States, there is a birth every 8 seconds, according to the U.S. Census Bureau's Population Clock.

For a complete list of videos, visit our video library