PSYC 3290: Final Exam Review Questions And Correct Answers.
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Course
PSYC 329
Institution
PSYC 329
What does a 95% confidence interval mean? - Answer A 95% confidence interval is a range of values that you can be 95% certain contains the true mean of the population. 19/20 times the CI will contain the true population parameter.
Standard Error - Answer Summarizes the breadth or spread of...
PSYC 3290: Final Exam Review
Questions And Correct Answers.
What does a 95% confidence interval mean? - Answer A 95% confidence interval is a range of values
that you can be 95% certain contains the true mean of the population. 19/20 times the CI will contain
the true population parameter.
Standard Error - Answer Summarizes the breadth or spread of the mean heap or its curve (the
inferential statistic for the standard deviation of the sample mean)
Formula for the SEM - Answer Population standard deviation divided by the square root of the sample
size.
Central Limit Theorem - Answer The theory that, as sample size increases, the distribution of sample
means of size n, randomly selected, approaches a normal distribution.
Confidence Interval - Answer The range of values within which a population parameter is estimated to
lie
Effect Size - Answer The amount of anything that's of research interest
Paired Design - Answer Uses a single group of participants, each of whom contributes a pair of data
values, one for each of the conditions being compared
Within-Groups IV - Answer All levels of the variable are seen by a single group of participants
The CI on the Difference - Answer Is shorter for paired design compared to between-subjects design
Cohen's d - Answer A measure of effect size that assesses the difference between two means in terms
of standard deviation, not standard error
, Formula for Cohen's d - Answer Effect size (M2 - M1) divided by an appropriate standard deviation
What is the standardizer used in paired design Cohen's d? - Answer Average standard deviation of s1
and s2
Paired t Test - Answer A test designed to determine the statistical difference between two groups'
means where the participants in each group are either the same or matched pairs.
Carryover Effect - Answer In a paired design is any influence of the first measurement on the second
Counterbalancing - Answer In a paired design is the assignment of different participants to different
orders of presentation, or different versions of the same condition, to reduce carryover effects
Power for Paired Designs - Answer Greater as the pretest and posttest scores are correlated
One-Way Independent Groups Design - Answer Has a single IV with three or more levels, and each
level is experienced by an independent group of participants
Types of Variability is a One-Way ANOVA - Answer Between-subjects variability (random sampling and
true) and within subject variability (random sampling)
F Statistic - Answer A ratio of two measures of variance: (1) between-groups variance, which indicates
differences among sample means, and (2) within-groups variance, which is essentially an average of the
sample variances
Comparison - Answer The difference between two means
Sum of Squares Between - Answer A measure of how much dispersion there is among the means of the
samples in an experiment
Sum of Squares Within - Answer A measure of how dispersed the scores are inside the samples of an
experiment
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