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22 April, 01:37

A type i error is committed when

a. a true null hypothesis is rejected

b. sample data contradict the null hypothesis

c. the critical value is greater than the value of the test statistic

d. a true alternative hypothesis is not accepted

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  1. 22 April, 02:27
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    Answer: Choice A) A true null hypothesis is rejected

    In other words, if the reality is that the null is true but your research says otherwise, then you've committed a type i error.

    A type ii error is when you fail to reject the null (basically "accepting" the null) while in reality the alternative is the true hypothesis.
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