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What is the difference between a Type I error and a Type II error in hypothesis testing?
In hypothesis testing, a Type I error occurs when a true null hypothesis is incorrectly rejected, while a Type II error occurs when a false null hypothesis is not rejected.
What is an alpha error?
An alpha error is another name in statistics for a type I error, rejecting the null hypothesis when the null hypothesis is true.
What is a beta error?
A beta error is another term for a type II error, an instance of accepting the null hypothesis when the null hypothesis is false.
What is Hypothesis Testing of Type I Error?
Rejecting a true null hypothesis.
What is Hypothesis Testing of Type II Error?
Failing to reject a false null hypothesis.
What is Type I Error - a false-positive error?
Rejecting a true null hypothesis.
If a test of hypothesis has a type 1 error probability 01?
If the type 1 error has a probability of 01 = 1, then you will always reject the null hypothesis (false positive) - even when the evidence is wholly consistent with the null hypothesis.
How many types of errors in taking a decision about Ho?
There are two types of errors associated with hypothesis testing. Type I error occurs when the null hypothesis is rejected when it is true. Type II error occurs when the null hypothesis is not rejected when it is false. H0 is referred to as the null hypothesis and Ha (or H1) is referred to as the alternative hypothesis.
A sampling error could occur from?
a poorly designed hypothesis
What is a Type II Error - a false-negative error?
Falling to reject (accepting) a false null hypothesis.
What kind of things can give rise to a hypothesis?
There are a few things that can give rise to a hypothesis. The main thing is null error.
How can you explain the meaning of experiment?
A trial and error way of answering a hypothesis.
