Get Help From Experts in Data Science and Mathematics
ePortfolios |STEM Gender Equality | ZOOM | Slack | Spreading Mathematical Happiness

You can support MathsGee with your DONATION

0 like 0 dislike
67 views
Define the two types of errors in hypothesis testing.
by Diamond (53,882 points) | 67 views

1 Answer

0 like 0 dislike
Best answer

In statistical hypothesis testing, a type I error is the rejection of a true null hypothesis (also known as a "false positive" finding or conclusion), while a type II error is the non-rejection of a false null hypothesis (also known as a "false negative" finding or conclusion).

by Diamond (53,882 points)

Related questions

0 like 0 dislike
1 answer
0 like 0 dislike
2 answers
asked Jun 25, 2020 by Tedsf Diamond (53,882 points) | 61 views
0 like 0 dislike
1 answer
0 like 0 dislike
1 answer
asked May 28, 2020 by Joshua Mwanza Diamond (40,360 points) | 17 views
0 like 0 dislike
1 answer
asked May 17, 2020 by Joshua Mwanza Diamond (40,360 points) | 23 views
13,102 questions
10,327 answers
101 comments
11,185 users