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

Author Question: Why is having a sufficiently large sample important in statistics? What will be an ideal ... (Read 23 times)

ap345

  • Hero Member
  • *****
  • Posts: 537
Why is having a sufficiently large sample important in statistics?
 
  What will be an ideal response?

Question 2

Does correlation equal causation? Explain.
 
  What will be an ideal response?



Related Topics

Need homework help now?

Ask unlimited questions for free

Ask a Question
Marked as best answer by a Subject Expert

skipfourms123

  • Sr. Member
  • ****
  • Posts: 343
Answer to Question 1

Answer: A sufficiently large sample is having enough observations or people in a study to
reliably detect an effect. This will help researchers to know that they have a statistically significant result.

Answer to Question 2

Answer: No, correlation doesn't equal causation. Correlation indicates that there is a relationship between two variables, but it does not indicate which variable causes the other or if a third, confounding variable is in play.




ap345

  • Member
  • Posts: 537
Reply 2 on: Jun 21, 2018
Gracias!


JaynaD87

  • Member
  • Posts: 368
Reply 3 on: Yesterday
:D TYSM

 

Did you know?

Critical care patients are twice as likely to receive the wrong medication. Of these errors, 20% are life-threatening, and 42% require additional life-sustaining treatments.

Did you know?

Signs and symptoms of a drug overdose include losing consciousness, fever or sweating, breathing problems, abnormal pulse, and changes in skin color.

Did you know?

There are over 65,000 known species of protozoa. About 10,000 species are parasitic.

Did you know?

The average person is easily confused by the terms pharmaceutics and pharmacology, thinking they are one and the same. Whereas pharmaceutics is the science of preparing and dispensing drugs (otherwise known as the science of pharmacy), pharmacology is the study of medications.

Did you know?

The U.S. Preventive Services Task Force recommends that all women age 65 years of age or older should be screened with bone densitometry.

For a complete list of videos, visit our video library