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Exam AIP-210 Topic 5 Question 65 Discussion

Actual exam question for CertNexus's AIP-210 exam
Question #: 65
Topic #: 5
Which of the following is a type 1 error in statistical hypothesis testing?

Suggested Answer: D Vote an answer

Explanation
A type 1 error in statistical hypothesis testing is when the null hypothesis is true, but is rejected. This means that the test falsely concludes that there is a significant difference or effect when there is none. The probability of making a type 1 error is denoted by alpha, which is also known as the significance level of the test. A type 1 error can be reduced by choosing a smaller alpha value, but this may increase the chance of making a type 2 error, which is when the null hypothesis is false but fails to be rejected. References: [Type I and type II errors - Wikipedia], [Type I Error and Type II Error - Statistics How To]

by Lindsay at May 07, 2024, 02:52 AM

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