13.) In which situation(s) would you NOT use the mean as the best measure of cen
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Question
13.) In which situation(s) would you NOT use the mean as the best measure of central tendency?
a. when using interval scales of measurement
b. when all values in a distribution are able to determined
c. when using ratio scales of measurement
d. when scores are skewed/extreme in value
14.) On which scale of measurement is the mode most representative of a distribution of data?
a. ratio
b. nominal
c. interval
d. none of the above
Chapter 4: Variability
15.) All of the following apply to the concept of degrees of freedom EXCEPT:
a. n - 1 scores in a sample distribution are free to vary
b. it is used to calculate sample variability (NOT population variability)
c. this term serves to increase sample variability, when compared to population variability
d. all scores in a sample distribution are free to vary
16.) For a population with = 100, which value for the population standard deviation would cause X = 120 to have the most EXTREME position in the distribution?
a. = 1
b. = 5
c. = 10
d. = 20
17.) A statistic is said to be and unbiased estimate of a parameter when:
a. the mode of all possible statistics is equal to the parameter
b. the median of all possible statistics is equal to the parameter
c. the mean of all possible statistics is equal to the parameter
d. all of the above
18.) Under which data transformation condition would ONLY the mean and NOT the standard deviation be altered?
a. when all scores are divided or multiplied by a constant
b. when all scores are added or subtracted by a constant
c. when all scores are divided or multiplied by another variable
d. when all scores are added or subtracted by another variable
19.) With respect to notation, the term for population variance is _______, while the term for population standard deviation is _______:
a. 2 ,
b. s2 , s
c. both answers a and b
d. none of the above
Chapter 5: z-scores
20.) All of the following are properties of any z-score distribution EXCEPT:
a. the mean = 0
b. the shape of the z-score distribution is the same as the shape of the raw score distribution
c. the standard deviation = 1
d. the shape of the z-score distribution is different than the shape of the raw score distribution
21.) Which statement best describes the concept of a z-score?
a. they standardize a distribution, but do not provide any information about location
b. they standardize a distribution and are always equal to raw scores
c. they standardize a distribution and allow for comparisons between different distributions
d. they do not standardize a distribution, but do provide information about location
22.) Which of the following z-scores is located furthest AND below the mean of a distribution?
a. z = -3.0
b. z = -1.0
c. z = +1.0
d. z = +3.0
Chapter 6: Probability
23.) With respect to probability and sampling:
a. each individual in a population should have an equal chance of being selected for a sample
b. sampling should occur with replacement
c. both answers a and b
d. none of the above
24.) What does the Unit Normal Table tell you about a distribution?
a. the standardized proportions of a normal distribution corresponding to z-scores
b. the standardized proportions of a normal distribution corresponding to raw scores
c. the standardized proportions of a skewed distribution corresponding to z-scores
d. the standardized proportions of a skewed distribution corresponding to raw scores
25.) Given the following parameters ( and ), all of the following can be calculated using the Unit Normal Table EXCEPT:
a. raw scores
b. proportions
c. confidence intervals (e.g. middle 95%)
d. population size
Chapter 7: The Distribution of Sample Means
26.) Which statement best defines the concept of sampling error?
a. the discrepancy between two population distributions
b. the discrepancy between two sample distributions
c. the discrepancy between sample statistics and population parameters
d. the discrepancy between sample parameters and population statistics
27.) All of the following are characteristics of a distribution of sample means EXCEPT:
a. sample means should occur mostly near this distribution's mean
b. with larger n's, this distribution becomes more variable
c. with smaller n's, this distribution becomes more variable
d. all of the above
Explanation / Answer
Answer:
13.) In which situation(s) would you NOT use the mean as the best measure of central tendency?
a. when using interval scales of measurement
b. when all values in a distribution are able to determined
c. when using ratio scales of measurement
Answer: d. when scores are skewed/extreme in value
14.) On which scale of measurement is the mode most representative of a distribution of data?
a. ratio
Answer: b. nominal
c. interval
d. none of the above
Chapter 4: Variability
15.) All of the following apply to the concept of degrees of freedom EXCEPT:
a. n - 1 scores in a sample distribution are free to vary
b. it is used to calculate sample variability (NOT population variability)
Answer: c. this term serves to increase sample variability, when compared to population variability
d. all scores in a sample distribution are free to vary
16.) For a population with = 100, which value for the population standard deviation would cause X = 120 to have the most EXTREME position in the distribution?
Answer: a. = 1
b. = 5
c. = 10
d. = 20
17.) A statistic is said to be and unbiased estimate of a parameter when:
a. the mode of all possible statistics is equal to the parameter
b. the median of all possible statistics is equal to the parameter
c. the mean of all possible statistics is equal to the parameter
Answer: d. all of the above
18.) Under which data transformation condition would ONLY the mean and NOT the standard deviation be altered?
a. when all scores are divided or multiplied by a constant
Answer: b. when all scores are added or subtracted by a constant
c. when all scores are divided or multiplied by another variable
d. when all scores are added or subtracted by another variable
19.) With respect to notation, the term for population variance is _______, while the term for population standard deviation is _______:
Answer: a. 2 ,
b. s2 , s
c. both answers a and b
d. none of the above
Chapter 5: z-scores
20.) All of the following are properties of any z-score distribution EXCEPT:
a. the mean = 0
b. the shape of the z-score distribution is the same as the shape of the raw score distribution
c. the standard deviation = 1
Answer: d. the shape of the z-score distribution is different than the shape of the raw score distribution
21.) Which statement best describes the concept of a z-score?
a. they standardize a distribution, but do not provide any information about location
b. they standardize a distribution and are always equal to raw scores
Answer: c. they standardize a distribution and allow for comparisons between different distributions
d. they do not standardize a distribution, but do provide information about location
22.) Which of the following z-scores is located furthest AND below the mean of a distribution?
Answer: a. z = -3.0
b. z = -1.0
c. z = +1.0
d. z = +3.0
Chapter 6: Probability
23.) With respect to probability and sampling:
a. each individual in a population should have an equal chance of being selected for a sample
b. sampling should occur with replacement
Answer: c. both answers a and b
d. none of the above
24.) What does the Unit Normal Table tell you about a distribution?
Answer: a. the standardized proportions of a normal distribution corresponding to z-scores
b. the standardized proportions of a normal distribution corresponding to raw scores
c. the standardized proportions of a skewed distribution corresponding to z-scores
d. the standardized proportions of a skewed distribution corresponding to raw scores
25.) Given the following parameters ( and ), all of the following can be calculated using the Unit Normal Table EXCEPT:
a. raw scores
b. proportions
c. confidence intervals (e.g. middle 95%)
Answer: d. population size
Chapter 7: The Distribution of Sample Means
26.) Which statement best defines the concept of sampling error?
a. the discrepancy between two population distributions
b. the discrepancy between two sample distributions
Answer: c. the discrepancy between sample statistics and population parameters
d. the discrepancy between sample parameters and population statistics
27.) All of the following are characteristics of a distribution of sample means EXCEPT:
a. sample means should occur mostly near this distribution's mean
Answer: b. with larger n's, this distribution becomes more variable
c. with smaller n's, this distribution becomes more variable
d. all of the above
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