Question

What are three common problems that can increase the chances of Type II error in hypothesis testing?

a) Large sample size, high power, small effect size
b) Small sample size, low power, large effect size
c) Small sample size, low power, small effect size
d) Large sample size, high power, large effect size

Answer 1

Three common problems that can increase the chances of a Type II error in hypothesis testing are small sample size, low power, and small effect size.

Step-by-step explanation:

Three common problems that can increase the chances of a Type II error in hypothesis testing are:

1. Small sample size: When the sample size is small, there is less data available to make accurate conclusions. This increases the chances of not detecting a true effect, leading to a Type II error.
2. Low power: Power is the probability of correctly rejecting a false null hypothesis. When the power of a test is low, there is a higher likelihood of failing to reject a false null hypothesis, resulting in a Type II error.
3. Small effect size: The effect size refers to the magnitude of the difference or relationship being studied. When the effect size is small, it may be more challenging to detect, increasing the chances of a Type II error.