Statistical Topics, Parameters, and Tests in Statistics MCQs
Statistical Topics, Parameters, and Tests in Statistics MCQs
Answer these 30 Statistical Topics, Parameters, and Tests in Statistics MCQs and see how sharp is your knowledge of Statistical Topics, Parameters, and Tests in Statistics.
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1: The reduction in risk outcomes between two differently treated groups is known as_____
A. Potential risk reduction
B. Absolute risk reduction
C. Partial risk reduction
D. None of these
2: Age-specific Death Rate is the number of deaths in a given age range divided by the total population of that age range at _____
A. End of year
B. Start of year
C. Midyear
D. Any time of the year
3: 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
A. Nuisance variable
B. Independent variable
C. Both a and b
4: Annual Crude Death Rate is the number of deaths in a year divided by the population as of midyear of that same year.
A. True
B. False
5: In canonical correlation, one set of variable is specified as criterion set and the other as_____
A. Bivariate set
B. Categorical set
C. Predictor set
D. None of these
6: 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.
A. Severity of the disease
B. Prevalence proportion of the disease
C. Incidence of the disease
D. All of these
7: The quotient of Case Fatality Proportion is reported as an interpretable multiple such as_____
A. 10
B. 100
C. 1000
D. 10000
8: Cluster Analysis is a technique that allows classification of a large set of objects into distinct subgroups based on_____ variables.
A. Criterion
B. Predictor
C. Bivariate
D. Categorical
9: Equivocal Results are the test outcomes that are
A. Unclear
B. Uncertain
C. Unreadable
D. All of these
10: Factor Analysis can be used to reduce a set of variables by identifying_____items.
A. Necessary
B. Redundant
C. Crucial
D. All of these
11: The condition where a test does not indicate the presence of a disease and the patient really does not have the disease.
A. True
B. False
12: The condition where a test indicates the presence of a disease and the patient really does not have the disease is known as_____
A. True positive
B. False positive
C. True negative
D. False negative
13: Iatrogenic Effect is a condition that arises when the diagnosis of a disease or condition, or the treatment of a disease or condition, is_____
A. Unknown
B. Beneficial
C. Harmful
D. Any of these
14: Incidence is the number of verified new cases of a disease during a period of time divided by the _____ in the population.
A. Total number of people
B. Total number of cases
C. Prevalence proportion of disease
D. Severity of disease
15: Intermediate results is a condition when a test’s outcome does not fall between these positive or negative conditions.
A. True
B. False
16: 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_____
A. With same disease
B. Recovering from disease
C. Without disease
D. All of these
17: Multiple Regression is a technique that allows a single dependent variable to be predicted from several independent variables.
A. True
B. False
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.
A. Dichotomous criterion
B. Monochotomous criterion
C. Both
D. None
19: Multivariate Analysis of Covariance is a technique that analyzes the effects of _____
A. One or more independent variables on more than one dependent variable
B. One or more dependent variables on more than one independent variable
C. One or more covariates alongwith one or more independent variables
D. None of these
20: Multivariate Statistics is a family of different statistical designs and procedures involving the analysis of more than one _____ variable at the same time.
A. Dependent
B. Independent
C. Confounding
D. Both a and b
21: The use of Multivariate Analysis of Variance has declined because_____
A. Does not control for the Type I error
B. Its use with a large group of independent variables may obscure true significant relationships
C. It has the power to detect whether groups differ along multiple dimensions
D. Both a and b
22: 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_____
A. Incidence
B. Prevalence
C. Occurrence
D. None of these
23: 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.
A. Cases
B. Unverified new cases
C. Old cases
D. Both a and b
24: Receiver Operating Curve is a graphical representation of a signal detection theory where the_____ of tests can be visually analyzed.
A. Sensitivity
B. Specificity
C. Veracity
D. Both a and b
25: 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_____
A. Absolute Risk Reduction
B. Relative Risk Reduction
C. Partial Risk Reduction
D. None of these
26: 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.
A. True
B. False
27: A characteristic of a good test where it is likely to be_____ when it does not indicate the presence of a disease.
A. Correct
B. Incorrect
C. Neutral
D. Both a and b
28: Structural Equation Modeling can be used to test how well alternative theoretical models best fit a set of data.
A. True
B. False
29: 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.
A. True
B. False
30: The condition where a test indicates the presence of a disease and the patient really does have the disease is known as_____
A. True positive
B. False positive
C. True negative
D. False negative
31: Uninterpretable is a condition when a test’s outcome is invalid because_____
A. Test has not been conducted according to correct instructions
B. Test has not been conducted at all
C. Test has not been conducted timely
D. All of these
32: Variety is an essential characteristic of big data that refers to the_____
A. Nature of actual data
B. Source of actual data
C. Reliability of actual data
D. Both a and b
33: Velocity is an essential characteristic of big data that refers to the impressive _____ at which it can be gathered.
A. Speed
B. Time
C. Amount
D. Both a and b
34: Veracity is an essential characteristic of big data that refers to the _____
A. Truth of the data
B. Falsity of the data
C. Subjectivity involved in its interpretability
D. All of these
35: _____ is an essential characteristic of big data that refers to the massive amount of data to analyze.
A. Variety
B. Veracity
C. Volume
D. Velocity
Statistical Topics, Parameters, and Tests in Statistics MCQs
