Exam 3 Flashcards
The general from of the linear model is _________.
Y= a + bX
The independent Measures t test is typically used to analyze the relationship between two variables when:
All of these:
The independent variable is between-subjects in nature
The dependent variable is quantitative in nature and is measured on a level that at least approximates interval characteristics
The independent variable has two and only two levels
Correlational analysis frequently demonstrates how one variable _____.
May be related to another variable
A formula used to calculate eta^2 is _______.
Both b and c
b. t^2I (t^2 +df)
c. SS Explained/SS Total
Which of the following conditions would make it inappropriate to use a Repeated Measures t test?
The dependent variable has been measured on a nominal level
In the Repeated Measures t Test, the variance extraction technique that creates nullified scores removes sources of variability that are due to _________.
Individual differences
In order to reduce carryover effects in a within-subjects design, you should be sure to ___________.
Counterbalance
The probability that an investigator will correctly reject the null hypothesis when it is false is called the ________ of the statistical test.
Power
The _____ the sample size, the ______ the statistical test will be, everything else being equal.
b and c
b. Smaller; less powerful
c. Larger; more powerful
In regression the variable being predicted is formally known as the _____ variable.
Criterion
In hypothesis testing, if observations are unlikely to be due to chance, we _______ the null hypothesis.
Reject
The range of the correlation coefficient is from -1.00 to ___________.
1.00
The standard deviation of the sampling distribution of the difference between 2 means is referred to as ____________.
Standard error of the difference
Increasing _________ reduces the standard error of the difference.
Sample size
The Repeated Measures t-test is sized when the independent variable is ________ subjects.
Within
If a result is due to “non chance,” it means that the effect of your independent Variable on your Dependent Variable is statistically ______.
Significant
