Which of the following best describes a Type I error?
Question
Which of the following best describes a Type I error?
Solution
A Type I error, also known as a false positive, occurs when a researcher incorrectly rejects a true null hypothesis. This means that while the researcher concludes that a relationship or effect exists in the population, in reality, it doesn't. This type of error is often associated with claiming a pattern or difference exists when it does not actually exist.
Similar Questions
Type I error is represented by which symbol?
A type I error means that:1 point The null hypothesis is true, and you do not reject the null hypothesis. The null hypothesis is true, and you reject the null hypothesis. The null hypothesis is false, and you reject the null hypothesis. The null hypothesis is false and cannot reject the null hypothesis.
A Type I error occurs when we:Group of answer choicesreject a true null hypothesis.do not reject a false null hypothesis.Do not reject a true null hypothesis.reject a false null hypothesis.
What type of error is a false-negative error?1 pointType I errorType III errorType L errorType II error
Which error type occurs when there is a mistake in the structure of the code, such as missing colons or parentheses?
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