PSCH 242 UIC EXAM 2 CORRECT
ANSWERS GRADED A 2025 UPDATED
Z score - -a measure used to compare data across different studies/experiments
This is for professor _________'s class - -c h e n
Z score formula - -(x- mean)/sd
Positive skew - -skew right
Negative skew - -skew left
What are the percentages for the normal distribution - -between -1 and 1: 68%
Between -2 and 2: 95%
Between -3 and 3: 99.7%
T score use - -when comparing two sets of scores
T score formula - -(x- mean)/s, s is the estimation of standard deviation (population sd)
___-score is more commonly used that __-score because ______ - -t,z, bc the z score
uses the real mean and we can never know the true mean for some populations, the t
score estimates the mean so it is more realistic
What is the alpha-value used in psychology - -alpha=0.05
Null hypothesis - -states there is no difference between two means
You can either ____ or _____ the null hypothesis - -reject, fail to reject
Research hypothesis - -- alternative hypothesis
- there is a different between the two means
Type 1 error - -you reject a tru null hypothesis
Type 2 error - -you fail to reject a not ture null hypothesis
Single sample t test - -compares a sample against a population
PSCH 242
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Paired-sample t test (dependent sample t test) - -when each participant is measured
twice and the two scores are compared
Independent sample t test - -when comparing the scores of two independent
populations to determine whether there is statistical difference that they are different
Anova - -- anaysis of variance
- test the mean differences between 2+ groups
Anova general formula - -(between group variance)/ (within group variance)
______ can alwayys replace _______ but ______ cannot always replace _______ - -
anova can alwyas replace a t-test but t-test cannot always replace anova
Power - -the probability of rejecting te null hypothesis when it is false
One way to always increase power - -increase the sample size
Effect size - -the magnitude of a relationship between two or more variables
Correlation - -a measure of the relationship between two variables
Correlation is only applicable to ____ relationships - -linear
Linear regression - -line of best fit
Low constraint methods - -- when researchers have low control over extraneous
variables in an experiment
- harder to design and implement than high-constraint methods
- general hypothesis
- unable to test causal relationships
Examples of low-constraint methods - -- naturalist observations
- field experiments
- case studies
- archival research
Reasons for using low constraint methods - -- exploratory work (generally unfamiliar
with concept/population)
- testing generealizability of lab research to real populations
- testing new procedure/technique
Archival research - -- going back and reading the archives from primarcy sources on a
topic
- cons: time consuming
PSCH 242