What type of error is made when a true null hypothesis is rejected

After learning the content of this chapter, the students should;See section 9.1 introduction to hypothesis testing difficulty:There is actually no special difference/change/w/e was being tested for, and that's the conclusion experimenter reaches.If there is less than a 5% chance of a result as extreme as the sample result if the null hypothesis were true, then the null hypothesis is rejected.A type i error is a type of error that occurs when a null hypothesis is rejected although it is true.

The null hypothesis is rejected in favor of the alternative hypothesis if the p value is less than alpha, the predetermined level of statistical significance (daniel, 2000).In that case, the null hypothesis states that groups are not equal.We always use the following steps to perform a hypothesis test:When the data are analyzed, such tests determine the p value, the probability of obtaining the study results by chance if the null hypothesis is true.If 5% is good, then 1% seems even better, right?

None of the other answers are correct.As you'll see, there is a tradeoff between type i and type ii errors.