Author Question: The central limit theorem (CLT) says that as long as the sample size is reasonably large, there is ... (Read 38 times)

ARLKQ

  • Hero Member
  • *****
  • Posts: 571
The central limit theorem (CLT) says that as long as the sample size is reasonably large, there is about a 95 chance that the magnitude of the sampling error for the mean will be no more than two standard errors.
 a. True
  b. False
   Indicate whether the statement is true or false

Question 2

Write the word form for the following numeral: 7.191.
 a. Seven and ninety-one one hundreds
 
  b. Seven and one hundred ninety-one thousandths
 
  c. Seven hundred and ninety-one thousandths
 
  d. Seven tenths and one hundred ninety-one



yuyiding

  • Sr. Member
  • ****
  • Posts: 357
Answer to Question 1

TRUE

Answer to Question 2

b



Related Topics

Need homework help now?

Ask unlimited questions for free

Ask a Question
 

Did you know?

Historic treatments for rheumatoid arthritis have included gold salts, acupuncture, a diet consisting of apples or rhubarb, nutmeg, nettles, bee venom, bracelets made of copper, prayer, rest, tooth extractions, fasting, honey, vitamins, insulin, snow collected on Christmas, magnets, and electric convulsion therapy.

Did you know?

Adolescents often feel clumsy during puberty because during this time of development, their hands and feet grow faster than their arms and legs do. The body is therefore out of proportion. One out of five adolescents actually experiences growing pains during this period.

Did you know?

The average office desk has 400 times more bacteria on it than a toilet.

Did you know?

Aspirin may benefit 11 different cancers, including those of the colon, pancreas, lungs, prostate, breasts, and leukemia.

Did you know?

Children of people with alcoholism are more inclined to drink alcohol or use hard drugs. In fact, they are 400 times more likely to use hard drugs than those who do not have a family history of alcohol addiction.

For a complete list of videos, visit our video library