Author Question: The Central Limit Theorem requires _________________________________. A) a sample size of at ... (Read 82 times)

viki

  • Hero Member
  • *****
  • Posts: 525
The Central Limit Theorem requires ___________________ ______________.
 
  A) a sample size of at least 30 be used to ensure that the samples means are normally distributed
  B) the population be normally distributed to ensure that the samples means are normally distributed
  C) the bootstrap method to be used to select the sample
  D) the resampling technique to be used to select the sample

Question 2

Interval data has all of the properties of ordinal data with the added feature that allows us to measure the differences between the categories with actual numbers in a meaningful way.
 
  Indicate whether the statement is true or false


amanda_14

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

A

Answer to Question 2

TRUE



Related Topics

Need homework help now?

Ask unlimited questions for free

Ask a Question
 

Did you know?

Though “Krazy Glue” or “Super Glue” has the ability to seal small wounds, it is not recommended for this purpose since it contains many substances that should not enter the body through the skin, and may be harmful.

Did you know?

For high blood pressure (hypertension), a new class of drug, called a vasopeptidase blocker (inhibitor), has been developed. It decreases blood pressure by simultaneously dilating the peripheral arteries and increasing the body's loss of salt.

Did you know?

Multiple experimental evidences have confirmed that at the molecular level, cancer is caused by lesions in cellular DNA.

Did you know?

For pediatric patients, intravenous fluids are the most commonly cited products involved in medication errors that are reported to the USP.

Did you know?

Most fungi that pathogenically affect humans live in soil. If a person is not healthy, has an open wound, or is immunocompromised, a fungal infection can be very aggressive.

For a complete list of videos, visit our video library