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How to fill out type i error

01

Understand the concept of Type I error, which refers to mistakenly rejecting a true null hypothesis.

02

Determine the significance level, denoted as alpha, which represents the probability of committing a Type I error.

03

Collect data and perform a hypothesis test.

04

Compare the p-value obtained from the test to the significance level alpha.

05

If the p-value is less than alpha, reject the null hypothesis and conclude that a Type I error has occurred.

Who needs type i error?

01

Researchers, statisticians, and anyone involved in hypothesis testing needs to be aware of Type I error.

02

Decision makers who rely on statistical analysis to make informed choices should also understand the implications of Type I error.

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What is type i error?

Type I error, also known as a false positive, occurs when a null hypothesis is incorrectly rejected.

Who is required to file type i error?

Individuals or organizations conducting statistical tests and making decisions based on hypothesis testing are required to file type I error.

How to fill out type i error?

Type I error is filled out by comparing the actual outcome of a test to the expected outcome under the null hypothesis.

What is the purpose of type i error?

The purpose of type I error is to assess the likelihood of observing a result at least as extreme as the one observed, assuming the null hypothesis is true.

What information must be reported on type i error?

Type I error report must include the test statistic, critical value, p-value, and decision regarding the null hypothesis.

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