1) what does it mean if a psychological scientist runs anexperiment and finds a statistically significant result? a) Thelikelihood of a Type I error is greater than 5% b) The likelihoodthat the result was due to chance is low enough to reject the nullhypothesis c) The theory that the scientist was testing isproven
2) What decision must a psychological scientist make if anobtained p-value is greater than the adopted alpha? a) To acceptthe null hypothesis b) To reject the null hypothesis c) That thereis a type I error
3) What does a psychological scientist conclude if an obtainedp-value is less than the adopted alpha? a) The likelihood that theresult was due to chance is too high to reject the null hypothesisb) The effect of the IV manipulation is statistically significantc) The likelihood of a type II error is greater than 5%
4) With all else being equal, what happens to the inferentialstat. we calculate to determine whether 2 groups differ, as thedifference between their means increases? a) the Pearson's rincreases b) The t-score increase c) The variance decreases d) Thesum of squares decrease
5) All else being equal, what happens to the inferential stat.we calculate to determine whether 2 groups differ, as the varianceof each of the groups increases? a) The Pearson's r decreases b)The t-score decreases c) The mean increases d)The sum of squaresincreases
6) All else being equal, what happens to the p-value thatcorresponds with our inferential stat., as the difference betweenthe means of two groups increases? a) it does not change b) Itincreases c) It decreases d) it approaches 1.0
