28.) An independent random sample is representative of the population from which
ID: 3252674 • Letter: 2
Question
28.) An independent random sample is representative of the population from which it came from if:
a. it is located far away from the original population mean (i.e. it is an outlier)
b. it is located relatively close to the original population mean
c. the z-score corresponding to the sample mean is close to +15
d. none of the above
29.) Which statement best defines the concept of the distribution of sample means?
a. it is a distribution of all the possible means of a specified (n) taken from a population
b. it is a distribution of sample statistics (a sampling distribution)
c. it is a distribution of all the possible raw scores taken from a population
d. both answers a and b
Chapter 8: Introduction to Hypothesis Testing
30.) Which of the following are true about the concept of statistical power?
a. it is the probability that a hypothesis test will erroneously reject a true null hypothesis
b. it is the probability that a hypothesis test will correctly reject a false null hypothesis
c. it is also known as Type I Error ()
d. it is a useless piece of information with respect to hypothesis testing
31.) Hypothesis testing is a form of _________, which uses _________ data to evaluate a hypothesis about a _________.
a. descriptive statistics; population; sample
b. inferential statistics; population; sample
c. inferential statistics; sample; population
d. descriptive statistics; sample; population
32.) Which of the following does NOT apply to the -level (alpha) for any given hypothesis test?
a. the -level corresponds to the probability of a Type II Error
b. the -level corresponds to the probability of a Type I Error
c. the -level plays a role in determining critical regions for a hypothesis test
d. all of the above apply
33.) Among the hypothesis tests covered in lecture, which hypothesis test is best used for drawing conclusions about a population when the population standard deviation is known?
a. independent measures t-test
b. repeated measures t-test
c. one-sample, independent measures ANOVA
d. the z-test
34.) Which of the following does NOT apply to Type I Errors?
a. they occur when a researcher rejects a true null hypothesis
b. generally, the maximum amount of Type I Error allowed is 5%
c. the -level corresponds to the probability of a Type I Error
d. they are the only factor which influences the statistical power of a hypothesis test
35.) Which of the following does NOT apply to Type II Errors?
a. Type II Error influences the power of a hypothesis test
b. they occur when a researcher fails to reject a false null hypothesis
c. the probability of a Type II Error is known as beta ()
d. all of the above apply
Chapter 9: Introduction to the t Statistic
36.) Under which condition will a given t distribution best approximate the normal z distribution?
a. when df = 100
b. when df = 35
c. when df = 10
d. when df = 1
37.) What is the term for the estimated standard distance between a sample mean (M) and the population mean ()?
a. estimated standard deviation
b. estimated standard variance
c. estimated standard treatment effect
d. estimated standard error
38.) The major difference between a z-test and a t-test is:
a. a z-test estimates only population standard deviation
b. a t-test estimates both population mean and standard deviation
c. a z-test estimates both population mean and standard deviation
d. there is no difference between the tests
39.) Under which conditions will it be very difficult to detect a treatment effect using the t-statistic?
a. with a small sample size and low sample variance
b. with a small sample size and high sample variance
c. with a large sample size and low sample variance
d. with a large sample size and high sample variance
40.) All of the following are assumptions of the one-sample t-test EXCEPT:
a. scores come from independent observations
b. the population that is sampled is skewed
c. the population that is sampled is normal
d. none of the above (all of the above are assumptions)
Chapter 10: The t-test for two independent samples
41.) With respect to t-tests, between-subjects designs utilizing the t-statistic:
a. include one sample, in which each participant is measured more than once
b. include one sample, in which each participant is measured only once
c. include two samples, in which each participant is measured more than once
d. include two samples, in which each participant is measured only once
42.) All of the following apply to the concept of pooled variance EXCEPT:
a. it is used in between-subjects t-tests
b. it is obtained by averaging two separate sample variances
c. it allows the bigger sample to carry more weight in determining the final value for variance
d. it is used in repeated measures t-tests
43.) All of the following are assumptions of a two-sample, independent measures t-test EXCEPT:
a. observations within and between each treatment condition are independent
b. the two populations that were sampled from are normal
c. the two populations that were sampled from have equal variances (homogeneity)
d. the two populations that were sampled from have unequal variances (heterogeneity)
Explanation / Answer
Ans.28.) An independent random sample is representative of the population from which it came from if
option (b) b. it is located relatively close to the original population mean
Ans29.) Which statement best defines the concept of the distribution of sample means?
option (b) b. it is a distribution of sample statistics (a sampling distribution)
Ans30.) Which of the following are true about the concept of statistical power?
option b. it is the probability that a hypothesis test will correctly reject a false null hypothesis
Ans31.) Hypothesis testing is a form of _________, which uses _________ data to evaluate a hypothesis about a _________.
option (b). inferential statistics; population; sample
Ans 32) Which of the following does NOT apply to the -level (alpha) for any given hypothesis test?
option (a) a. the -level corresponds to the probability of a Type II Error
Ans 33.) Among the hypothesis tests covered in lecture, which hypothesis test is best used for drawing conclusions about a population when the population standard deviation is known?
option (d) the z-test
Ans 34 Which of the following does NOT apply to Type I Errors?
option
d. they are the only factor which influences the statistical power of a hypothesis test
Ans 35.) Which of the following does NOT apply to Type II Errors?
option b. they occur when a researcher fails to reject a false null hypothesis
Ans 36.) Under which condition will a given t distribution best approximate the normal z distribution?
option (A) df 100
Ans 37.) What is the term for the estimated standard distance between a sample mean (M) and the population mean ()?
option d. estimated standard error
Ans38 The major difference between a z-test and a t-test is:
option(d). there is no difference between the tests
Ans39Under which conditions will it be very difficult to detect a treatment effect using the t-statistic?
Ans 40 ans c. with a large sample size and low sample variance
Ans41 b. include one sample, in which each participant is measured only once
Ans42 c. it allows the bigger sample to carry more weight in determining the final value for variance
Ans43 d. the two populations that were sampled from have unequal variances (heterogeneity)
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