PSYC 201 Exam 3 Questions with Correct Answers Latest Update 2026/2027

PSYC 201 Exam 3 Questions with Correct Answers Latest Update 2026/2027 1st step of hypothesis testing - Answers state two competing hypotheses 2nd step of hypothesis testing - Answers identify unexpected result (critical values) 3rd step of hypothesis testing - Answers determine the mean and SD of sampling distribution 4th step of hypothesis testing - Answers calculate test statistic 5th step of hypothesis testing - Answers compare observed with expected result & decide whether to reject null or not assumptions of correlated groups t test - Answers 1. sample is independently and randomly selected from population 2. population of difference scores is normally distributed assumptions of independent groups t test - Answers 1. samples are independently and randomly selected from their populations 2. populations are normally distributed 3. populations have equal variance three criteria for causal inference - Answers 1. covariation 2. time order relationship 3. plausible alternate causes requirements for an experiment - Answers 1. manipulation of iv 2. 1 or more primary control strategies (must include random assignment) - matching - holding variables constant independent groups t test conditions - Answers 1. dv is quantitative (interval) 2. iv is between-subjects (nominal/ordinal) 3. iv has 2 levels correlated groups t test conditions - Answers 1. dv is quantitative (interval) 2. iv is within-subjects or matched (nominal/ordinal) 3. iv has 2 levels advantages of within-subjects - Answers - increased sensitivity (detection ability) - controls for individual differences disadvantages of within-subjects - Answers order effects counterbalancing - Answers how to manage order effects. systematic variance in which participants experience conditions. order effects - Answers 1. carryover 2. practice 3. fatigue 3 X 4 X 2 - Answers 3 factors. One has 3 levels, one has 4 levels and one has 2 levels define interaction - Answers the influence of one iv on dv is different at different levels of another iv type I error - Answers false positive; rejecting the null hypothesis when it's not actually true type II error - Answers false negative; failing to reject the null hypothesis when it's actually false statistical power & factors that contribute - Answers 1. sample size (most easily manipulated) 2. alpha level / significance level 3. effect size