qmb 3200 test 2 concepts ucf
As the test statistic becomes larger, the p-value: - becomes smaller.
The probability of making a Type I error when the null hypothesis is true as an equality is called the: -
level of significance.
In hypothesis testing, the tentative assumption about the population parameter is called: - the null
hypothesis.
The p-value: - must be a number between 0 and 1.
For a two-tailed test, the p-value is the probability of obtaining a value for the test statistic as: - unlikely
as that provided by the sample.
What is the probability of making a Type I error? - 𝛼
Applications of hypothesis testing that only control for the Type I error are called: - significance tests.
Which of the following does not need to be known in order to compute the p-value? - The level of
significance.
The p-value is a probability that measures the support (or lack of support) for the: - null hypothesis.
Whenever the probability of making a Type II error has not been determined and controlled, only two
conclusions are possible. We either reject H0 or: - do not reject H0.
For a lower tail test, the p-value is the probability of obtaining a value for the test statistic: - at least as
small as that provided by the sample.
