5.92 Fingerprint expertise. Refer to the Psychological Science (Aug. 2011) study of fingerprint identification, Exercise 4.74 (p. 212). Recall that the study found that when pre- sented with prints from the same individual, a novice will his correctly identify the match only 75% of the time. Now consider a sample of 120 different pairs of fingerprints where each pair is a match. a. Estimate the probability that a novice will correctly iden- tify the match in more than half of all pairs of fingerprints. b. Estimate the probability that a novice will correctly identify the match in fewer than 100 pairs of fingerprints.

A graduate student is interested in how viewing different types of scenes affects working memory. For his study, he selects a random sample of 36 adults. The subjects complete a series of working memory tests before and after walking in an urban setting. Before the walk, the mean score on the test of working memory was 9.1. After the walk, the mean score was 1.4 higher. The graduate student has no presupposed assumptions about how viewing different types of scenes affects working memory, so he formulates the null and alternative hypotheses as: H00 : μDD = 0 H11 : μDD ≠ 0 Assume that the data satisfy all of the required assumptions for a repeated-measures t test. The graduate student calculates the following statistics for his hypothesis test: Mean difference (MDD) 1.4 Estimated population standard deviation of the differences (s) 1.6 Estimated standard error of the mean differences (sMDMD) 0.2667 Degrees of freedom (df) 35 The t statistic 5.25 The critical values of t…

A forensic psychologist who specializes in personality traits and their relationship to crime hypothesizes that those higher in the trait of thrill-seeking will be more likely to commit burglaries. The scores on a measure of thrill seeking and the number of arrests for burglary (and the corresponding z-scores) were as follows for a group of convicted felons from urban communities:   THRILLSEEK # ARRESTS Z-THRILLSEEK Z-ARRESTS 36 10 2.55 1.87 29 9 0.89 1.63 27 8 0.41 1.15 27 6 0.41 0.42 26 5 0.18 0.30 26 3 0.18 -0.54 26 4 0.18 0.06 25 4 -0.06 0.06 25 4 -0.06 0.06 25 5 -0.06 0.18 25 5 -0.06 0.18 25 5 -0.06 0.18 23 3 -0.53 -0.54 23 1 -0.53 -1.75 22 2 -0.77 -1.15 14 1 -2.67 -1.75   Using α of .05, what has the researcher found? Explain in layperson’s terms.     Let’s say you have a sample of 16 convicted felons from…

A Michigan study concerning preference for outdoor activities used a questionnaire with a six-point Likert-type response in which 1 designated "not important" and 6 designated "extremely important." A random sample of n1 = 44 adults were asked about fishing as an outdoor activity. The mean response was x1 = 4.9. Another random sample of n2 = 49 adults were asked about camping as an outdoor activity. For this group, the mean response was x2 = 4.1. From previous studies, it is known that ?1 = 1.5 and ?2 = 2.0. Does this indicate a difference (either way) regarding preference for camping versus preference for fishing as an outdoor activity? Use a 5% level of significance. Note: A Likert scale usually has to do with approval of or agreement with a statement in a questionnaire. For example, respondents are asked to indicate whether they "strongly agree," "agree," "disagree," or "strongly disagree" with the statement.