Reference no: EM13924421
Question 1 of 25
Cross-sectional data are data:
A. collected over time
B. that are collected over a single period of time
C. consisting of a single variable
D. consisting of two or more variables
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Question 2 of 25
Ordinal data are:
A. sorted into categories according to specified characteristics
B. ordered or ranked according to some relationship to one another
C. ordered, have a specified measure of a distance between observations but have no nature zero
D. data which have a natural zero
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Question 3 of 25
The process of collection, organization, and description of data is commonly called:
A. descriptive statistics
B. statistical inference
C. predictive statistics
D. operational statistics
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Question 4 of 25
__________ is a measure of a linear relationship between two variables, X and Y.
A. correlation
B. range
C. standard deviation
D. median
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Question 5 of 25
The statistical measures that characterize dispersion are:
A. Range, variance, standard deviation
B. Mean, median, mode
C. Range, mean, standard deviation
D. Correlation, frequencies, standard deviation
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Question 6 of 25
Define standard deviation
A. A measure of how dispersed observations around the mean
B. The square root of variance
C. The amount of variation error in the data
D. A & B above
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Question 7 of 25
A discrete random variable is:
A. outcomes over a continuous range of real numbers
B. a numerical description of the outcome of an experiment
C. one for which the number of possible outcomes can be counted
D. one for which the number of possible outcomes can not be counted
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Question 9 of 25
A confidence interval (CI) is a range of scores with specific boundaries that
should contain the ______ mean.
A. sample
B. population
C. standard error
D. none of the above
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Question 10 of 25
The most common probabilistic sampling approach is:
A. simple random sampling
B. convenient sampling
C. complex sampling
D. error sampling
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Question 11 of 25
The hypothesis predicting that differences exist between the groups being
compared is to the hypothesis predicting that no differences exist between the groups being compared as _____ hypothesis is to _____
hypothesis.
A. null; alternative
B. alternative; null
C. one-tailed; two-tailed
D. two-tailed; one tailed
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Question 12 of 25
Directional hypothesis is to non-directional hypothesis as _____ hypothesis is to _____ hypothesis.
A. null; alternative
B. alternative; null
C. one-tailed; two-tailed
D. two-tailed; one-tailed
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Question 13 of 25
A researcher was interested in the emotional effects of music on exam performance.
Before their exam, a professor took one group of students into a room in which calming music was played.
A different group of students were taken to another room in which new wave hard rock was being played.
The students then took the exam and their scores were reported. What type of analysis would be most appropriate?
A. Paired (dependent) t-test
B. Independent (unpaired) t-test
C. Analysis of Variance ANOVA
D. Repeated Measures ANOVA
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Question 14 of 25
As the value of a t-test _____, the sample variance _____.
A. increases; decreases
B. decreases; increases
C. increases; increases
D. decreases; decreases
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Question 15 of 25
_____ is a procedure which allows us to predict an individual's score on one
variable based on knowing one or more other variables.
A. Pearson product-moment correlation coefficient
B. Coefficient of determination
C. Regression analyses
D. Point-biserial correlation coefficient
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Question 16 of 25
A fashion student was interested in factors that predicted the salaries of catwalk models. She collected data from 231 models.
For each model she asked them their salary per day on days when they were working (salary), their age (age),
how many years they had worked as a model (years), and then got a panel of experts from modeling agencies to rate the
attractiveness of each model as a percentage with 100% being perfectly attractive (beauty).
The most appropriate statistical analysis would be:
A. T-test
B. ANOVA
C. Multiple-regression
D. chi square
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Question 17 of 25
The _____ is the best fitting straight-line drawn through the center of a scatterplot that indicates the relationship between the variables.
A. regression line
B. negative relationship
C. measure of variation
D. multiple-baseline
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