STATISTICAL TECHNIQUES AND TOOLS
TESTS OF SIGNIFICANCE
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
You plan to perform a hypothesis test with a level of significance of 0.05. What’s the effect on the probability of committing a Type I error if the sample size is increased?
|
|
The probability of committing a Type I error decreases
|
|
|
The probability of committing a Type I error is unchanged
|
|
|
The effect cannot be determined without knowing the relevant standard deviation
|
|
|
The effect cannot be determined without knowing if a Type II error is committed
|
Explanation:
Detailed explanation-1: -You plan to perform a hypothesis test with a level of significance of = 0.05. What is the effect on the probability of committing a Type I error if the sample size is increased? A. The probability of committing a Type I error decreases.
Detailed explanation-2: -A hypothesis test is conducted at the 0.05 level of significance to test whether or not the population correlation is zero.
Detailed explanation-3: -Rejecting or failing to reject the null hypothesis If our statistical analysis shows that the significance level is below the cut-off value we have set (e.g., either 0.05 or 0.01), we reject the null hypothesis and accept the alternative hypothesis.
There is 1 question to complete.