Answer:
The analysis makes a type II error.
Explanation:
A null hypothesis is a hypothesis of no difference. It is symbolized by H₀.
A Type I error is the rejection of H₀ when indeed the H₀ is true. It is symbolized by α.
A Type II error is failing to discard a H₀ when indeed the H₀ is false. It is symbolized by β.
And when we do not discard the H₀ when indeed the H₀ is true this implies that a correct decision is made and no error has occurred.
A statistically significant result implies that the null hypothesis is rejected.
It is provided that the original study yielded significant results while this study did not.
This implies that originally the null hypothesis was rejected. But when the study was conducted the results indicated that the null hypothesis is not false.
The study thus accepted a false null hypothesis.
That is, a type II error was committed.
Thus, the analysis makes a type II error.