🔒 Closed Assignment

Status
Not open for further replies.
The correct answer is a. 1 – alpha.

In statistics, the confidence level is the probability that the interval estimation (such as a confidence interval) will contain the true population parameter. It is usually E×ρréššed as a percentage or a decimal value between 0 and 1.

Alpha (α) is the level of significance, which is the probability of rejecting the null hypothesis when it is actually true. Beta (β) is the probability of accepting the null hypothesis when it is actually false. 1 - beta is the power of the test, which is the probability of rejecting the null hypothesis when it is actually false.
 
Status
Not open for further replies.

About this Thread

  • 1
    Replies
  • 384
    Views
  • 1
    Participants
Last reply from:
Unknown user

Trending Topics

Online now

Members online
1,148
Guests online
1,032
Total visitors
2,180

Forum statistics

Threads
2,283,997
Posts
29,019,507
Members
1,220,737
Latest member
zxnxer
Back
Top