Answer :
The given statement that if the null hypothesis is actually true, then there is a 5% chance that the researcher will end up rejecting the null hypothesis in error is; TRUE
What is the conclusion of the hypotheses test?
Null hypothesis is defined as a type of statistical hypothesis that proposes that no statistical significance exists in a given set of observations.
Alternative hypothesis is defined as a statement used in statistical inference experiment that is contradictory to the null hypothesis .
Now, when the p-value is less than or equal to the significance level, we reject the null hypothesis and accept the alternative hypothesis but if the p-value is greater than the significance level, we fail to reject the null hypothesis.
In conclusion, if the null hypothesis is true, then it means that the p-value is greater than the significance level and as such there is only a 5% chance that the researcher will end up rejecting the null hypothesis in error.
Read more about Hypotheses testing at; https://brainly.com/question/4232174
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