Applying Statistical Inference: An Example Since side effects can threaten patient lives, the developer of a new antipsychotic drug wants to minimize the risk of Type 2 error when measuring liver damage.Which level of significance should she use?
A)p

Question

Applying Statistical Inference: An Example Since side effects can threaten patient lives, the developer of a new antipsychotic drug wants to minimize the risk of Type 2 error when measuring liver damage.Which level of significance should she use?
A)p < .001
B)p < .01
C)p < .03
D)p < .05

Quizplus · Accepted Answer

The developer of the new antipsychotic drug wants to minimize the risk of Type 2 error when measuring liver damage. This means that she wants to minimize the probability of falsely accepting the null hypothesis that the drug does not cause liver damage, when it actually does. This is known as a type II error.

In order to minimize the risk of type II error, the level of significance (alpha) should be set at a lower value. A lower level of significance means that the null hypothesis will only be rejected if there is very strong evidence against it, which reduces the risk of falsely accepting it.

Out of the given options, D (p < .05) is the most commonly used level of significance in scientific research. It allows for a 5% chance of falsely rejecting the null hypothesis, which means that there is a 95% confidence that any observed effect is real and not due to chance alone. This level of significance should be sufficient for the developer to minimize the risk of type II error while still allowing for meaningful analysis of the data.

Applying Statistical Inference: an Example Since Side Effects Can Threaten