Assignment

QUESTION 1
The more power in a study, the greater the chance of identifying a non-significant difference when there actually is a significant difference.
True
False

QUESTION 2
Inferential statistics are about a population, so the hypotheses are created using parameter statistics.
True
False

QUESTION 3
As probability of making a Type I error increases, the probability of making a Type II error also increases.
True
False

QUESTION 4
Studies that lack sufficient power are more likely to make a type I error.
True
False

QUESTION 5
Hypothesis testing in univariate statistics is used to determine whether or not any change in the dependent variable is due to change in the independent variable or simply due to chance.
True
False

QUESTION 6
For social sciences, power is usually deemed sufficient at .80.
True
False

QUESTION 7
The easiest method of increasing power in a study is to increase sample size.
True
False

QUESTION 8
If the null hypothesis is rejected, then no statistical group differences were found.
True
False

QUESTION 9
The level of significance in a study is directly related to the amount of type I error allowed in a study.
True
False

QUESTION 10
In hypothesis testing, the null hypothesis is always tested.
True
False

QUESTION 11
Power is the same as confidence.
True
False

QUESTION 12
Scores that are below the stated level of significance and critical value are considered to be statistically significant.
True
False