1. A Type II error occurs when you reject the null hypothesis when the null hypothesis is true.
A) True (this one?)
B) False
2. A Type II error occurs when you fail to reject the null when the null hypothesis is false.
A) True (this one?)
B) False
http://www.chegg.com/homework-help/definitions/type-i-and-type-ii-errors-31
1. Correct answer: A) True
To understand the concept of Type II error, we first need to understand the null hypothesis. The null hypothesis (H0) is a statement that assumes there is no significant difference or relationship between variables or groups. When conducting a hypothesis test, we either reject or fail to reject the null hypothesis based on the evidence from the data.
In the case of Type II error, it occurs when we incorrectly reject the null hypothesis (H0) when it is actually true. This means that the decision made from the hypothesis test leads us to conclude that there is a significant difference or relationship between variables or groups, even though there is no actual difference or relationship in the population.
2. Correct answer: B) False
Let's correct the statement: A Type II error occurs when you fail to reject the null hypothesis (H0) when the alternative hypothesis (H1) is true.
This means that a Type II error happens when the null hypothesis is false, but the evidence from the data is not strong enough to reject it. In other words, we fail to identify a significant difference or relationship between variables or groups, even though it actually exists in the population.