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What is the term for an error made by researchers who only look for evidence that supports their hypothesis?
Wiki User
∙ 13y ago
That sounds to me like a type I error, or a false positive.
Wiki User
∙ 13y ago
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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.
Can a hypothesis still be right even if the experiment says it is wrong?
Yes, although if the experiment is performed correctly there should be relatively little chance of this occurring. This is referred to as a type II error in statistics - the data supports rejecting the hypothesis even though the hypothesis is correct.
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.
If a scientist finds new evidence that contradicts a law or hypothesis then?
There are several things which follow such a discovery. First, the scientist would want to publish the findings so that other scientists could examine the evidence as well, and see if they can also observe a contradiction with a previously accepted law or hypothesis, or whether they will discover some error in the methodology, or will be unable to reproduce the phenomenon. Secondly, if the evidence is found to be reliable, it will be necessary to come up with a new hypothesis or law that is consistent with the new evidence, and which can replace the old hypothesis or law, subject to continued testing and observation.
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.
True or false developing a hypothesis is an important contributor to human error?
False. A very important contributor to human error is the false hypothesis or mistaken assumption.
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.
