## PSYC 354 Exam 4

PSYC 354 Exam 4

1. The second step in conducting the single‐sample t test involves ________ and
2. Candidate #2 received 32% of the votes and candidate #3 received 14% of the votes, with a margin of error of 6%. What does this information tell us about the popularity of these candidates?
3. Imagine that the confidence interval around a group’s mean is [980, 1160], what is the mean?
4. Michelle is a cognitive psychologist studying reading times for stories that contain either consistent or inconsistent information. She runs 38 people through her study and concludes that reading times slow when coherence breaks occur in a story. Specifically, she concludes reading times slow by 6.9 milliseconds on average. Michelle’s prediction is a(n) :
5. According to Cohen’s convention, a value of ________ is a large effect size.
6. Which of the following reports of statistical results are in appropriate APA format?
7. Our ability to reject the null hypothesis given that the null hypothesis is false is:
8. The practical use of statistical power is that it informs you the researcher:
9. If a confidence interval of [212, 296] is centered around a mean of 254, what is the margin of error?
10. Meta‐analysis involves:
11. According to Cohen’s convention, a value of ________ is a small effect size.
12. We can increase statistical power with each of the following except:
13. Statistical convention for the minimal acceptable power is:
14. When performing a single‐sample t test, an effect size of 0.80 would be interpreted as a:
15. The statement “The findings based on a sample of 1000 participants were statistically significant, providing evidence for our hypothesis” would be strengthened by:
16. The correct formula for effect size using Cohen’s d for a single‐sample t test is:
17. The formula for the degrees of freedom for the single‐sample t test is:
18. Imagine that a candidate received 17% of votes, with a margin of error of 4%. The point estimate is ________, while the interval estimate is
19. When scientists call a hypothesis test conservative, they mean that it is:
20. A confidence interval is a(n. ________ that includes the population mean after repeatedly sampling.
21. When we report that something is statistically significant, it means that
22. If the standard deviation for a population, as estimated from a sample, is s = 10.23, then the standard error for a sample size of N = 20 is:
23. Many companies that manufacture light bulbs advertise their 60‐watt bulbs as having an average life of 1000 hours. A cynical consumer bought 30 bulbs and burned them until they failed. He found that they burned for an average of M = 1233, with a standard deviation of s = 232.06. What statistical test would this consumer use to determine whether the average burn time of light bulbs differs significantly from that advertised?
24. One of the roles of the researcher performing a meta‐analysis is to:
25. The single‐sample t test compares a sample mean to a population mean when:
26. The formula “ ” is used to represent the:
27. A high degree of overlap between two distributions of approximately 95% is most likely to result in a(n) ________ effect size.
28. In statistics, what does “homogeneous” mean?
29. Identify the correct formula for using the sample standard deviation to estimate the population standard deviation.
30. Hypothesis testing tells us:
31. The range of raw scores contained in an 80% confidence interval will be ________ the range of raw scores contained in a 95% confidence interval.
32. The confidence interval is centered around the
33. The larger the effect size, the:
34. What falls within the 95% confidence interval?
35. Increasing sample size:
36. Using the percentage approximations for the normal curve, the percentage of scores between the mean and one standard deviation below the mean is
37. The raw score that corresponds to a Z score of 2.0 obtained from a distribution with a mean of 80 and a standard deviation of 10 is
38. If the cutoff Z score on the comparison distribution is 1.64 and the sample Z score is 1.32 on the comparison distribution, the correct decision is to
39. The percentile rank for a z score of 1.8 is
40. Using a normal curve table, if a person has a music aptitude score of 41, which equals a Z score of 1.3, the percentage of people having a higher score is
\$2.99