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

Author Question: As a general rule, the normal distribution is used to approximate the sampling distribution of the ... (Read 143 times)

j.rubin

  • Hero Member
  • *****
  • Posts: 557
As a general rule, the normal distribution is used to approximate the sampling distribution of the sample proportion only if:
 a. the sample size n is greater than 30.
  b. the population proportion p is close to 0.50.
  c. the underlying population is normal.
  d. np and n(1 - p) are both greater than or equal to 5.

Question 2

If the coefficient of correlation is 0.90, then the percentage of the variation in the dependent variable y that is explained by the variation in the independent variable x is:
 a. 90
  b. 81
  c. 95
  d. None of these choices.



Related Topics

Need homework help now?

Ask unlimited questions for free

Ask a Question
Marked as best answer by a Subject Expert

ApricotDream

  • Sr. Member
  • ****
  • Posts: 336
Answer to Question 1

D

Answer to Question 2

B




j.rubin

  • Member
  • Posts: 557
Reply 2 on: Jun 24, 2018
Gracias!


komodo7

  • Member
  • Posts: 322
Reply 3 on: Yesterday
YES! Correct, THANKS for helping me on my review

 

Did you know?

The most common childhood diseases include croup, chickenpox, ear infections, flu, pneumonia, ringworm, respiratory syncytial virus, scabies, head lice, and asthma.

Did you know?

Of the estimated 2 million heroin users in the United States, 600,000–800,000 are considered hardcore addicts. Heroin addiction is considered to be one of the hardest addictions to recover from.

Did you know?

Approximately 500,000 babies are born each year in the United States to teenage mothers.

Did you know?

Approximately 15–25% of recognized pregnancies end in miscarriage. However, many miscarriages often occur before a woman even knows she is pregnant.

Did you know?

There are more nerve cells in one human brain than there are stars in the Milky Way.

For a complete list of videos, visit our video library