Statistical Topics, Parameters, and Tests in Statistics MCQ
Statistical Topics, Parameters, and Tests in Statistics MCQ
1. _____ is an essential characteristic of big data that refers to the massive amount of data to analyze.
Answer
Correct Answer:
Volume
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2. Veracity is an essential characteristic of big data that refers to the _____
Answer
Correct Answer:
All of these
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3. Velocity is an essential characteristic of big data that refers to the impressive _____ at which it can be gathered.
Answer
Correct Answer:
Speed
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4. Variety is an essential characteristic of big data that refers to the_____
Answer
Correct Answer:
Both a and b
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5. Uninterpretable is a condition when a test’s outcome is invalid because_____
Answer
Correct Answer:
Test has not been conducted according to correct instructions
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6. The condition where a test indicates the presence of a disease and the patient really does have the disease is known as_____
Answer
Correct Answer:
True positive
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7. The condition where a test does not indicate the presence of a disease and the patient really does not have the disease is known as true negative.
Answer
Correct Answer:
True
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8. Structural Equation Modeling can be used to test how well alternative theoretical models best fit a set of data.
Answer
Correct Answer:
True
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9. A characteristic of a good test where it is likely to be_____ when it does not indicate the presence of a disease.
Answer
Correct Answer:
Both a and b
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10. A characteristic of a good test where it is likely to indicate the presence of a disease when the patient really does not have the disease.
Answer
Correct Answer:
False
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11. A measure of how much reduction in risk has occurred between two groups treated differently when compared with the untreated group’s percentage on the outcome of interest is known as_____
Answer
Correct Answer:
Relative Risk Reduction
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12. Receiver Operating Curve is a graphical representation of a signal detection theory where the_____ of tests can be visually analyzed.
Answer
Correct Answer:
Both a and b
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13. Prevalence Proportion is the total number of_____ of a disease known to exist at a given point in time divided by the total population at the same time.
Answer
Correct Answer:
Cases
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14. The number of people who have a specified disease at a given point in time divided by the total number of people in the population is known as_____
Answer
Correct Answer:
Prevalence
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15. The use of Multivariate Analysis of Variance has declined because_____
Answer
Correct Answer:
Both a and b
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16. Multivariate Statistics is a family of different statistical designs and procedures involving the analysis of more than one _____ variable at the same time.
Answer
Correct Answer:
Dependent
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17. Multivariate Analysis of Covariance is a technique that analyzes the effects of _____
Answer
Correct Answer:
One or more covariates alongwith one or more independent variables
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18. Linear Discriminant Function Analysis is a multivariate statistical technique that uses a set of predictor or independent variables to predict group membership on a _____ variable.
Answer
Correct Answer:
Dichotomous criterion
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19. Multiple Regression is a technique that allows a single dependent variable to be predicted from several independent variables.
Answer
Correct Answer:
True
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20. Likelihood Ratio for a Positive Test expresses the likelihood that the test will be positive in a person with the disease compared with a positive test in a person_____
Answer
Correct Answer:
Without disease
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21. Intermediate results is a condition when a test’s outcome does not fall between these positive or negative conditions.
Answer
Correct Answer:
True
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22. Incidence is the number of verified new cases of a disease during a period of time divided by the _____ in the population.
Answer
Correct Answer:
Total number of people
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23. Iatrogenic Effect is a condition that arises when the diagnosis of a disease or condition, or the treatment of a disease or condition, is_____
Answer
Correct Answer:
Harmful
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24. The condition where a test indicates the presence of a disease and the patient really does not have the disease is known as_____
Answer
Correct Answer:
False positive
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25. The condition where a test does not indicate the presence of a disease and the patient really does not have the disease.
Answer
Correct Answer:
False
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26. Factor Analysis can be used to reduce a set of variables by identifying_____items.
Answer
Correct Answer:
Redundant
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27. Equivocal Results are the test outcomes that are
Answer
Correct Answer:
All of these
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28. Cluster Analysis is a technique that allows classification of a large set of objects into distinct subgroups based on_____ variables.
Answer
Correct Answer:
Predictor
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29. The quotient of Case Fatality Proportion is reported as an interpretable multiple such as_____
Answer
Correct Answer:
1000
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30. Case Fatality Proportion is the number of deaths attributable to a particular disease during a period of time divided by the_____ at the same time.
Answer
Correct Answer:
Prevalence proportion of the disease
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31. In canonical correlation, one set of variable is specified as criterion set and the other as_____
Answer
Correct Answer:
Predictor set
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32. Annual Crude Death Rate is the number of deaths in a year divided by the population as of midyear of that same year.
Answer
Correct Answer:
True
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33. Analysis of Covariance is a method of determining differences among means, on a single dependent variable, while statistically adjusting for the effects of a Confounding variable
Answer
Correct Answer:
Both a and b
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34. Age-specific Death Rate is the number of deaths in a given age range divided by the total population of that age range at _____
Answer
Correct Answer:
Midyear
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35. The reduction in risk outcomes between two differently treated groups is known as_____
Answer
Correct Answer:
Absolute risk reduction
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