A researcher studies the effect of a new training program on test scores. The change in test score is defined as
Change=Score after training−Score before training.
A 95% confidence interval for the mean change in test scores is (−4,−2.5). Which of the following is the best interpretation of this confidence interval?

Question

A researcher studies the effect of a new training program on test scores. The change in test score is defined as

Change=Score after training−Score before training.

A 95% confidence interval for the mean change in test scores is (−4,−2.5). Which of the following is the best interpretation of this confidence interval?

Answer

The training program has a statistically significant positive effect on test scores.

Answer

The true mean effect of the training program could be positive, negative, or zero, so there is  no evidence of a significant change in test scores.

Answer

The training program has a statistically significant negative effect on test scores.

Answer

There is a 95% probability that the true mean effect lies within this confidence interval.

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A researcher studies the effect of a new training program on test scores. The ...

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