Statistical Topics, Parameters, and Tests in Statistics MCQ
_____ is an essential characteristic of big data that refers to the massive amount of data to analyze.
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Correct Answer:
Volume
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Veracity is an essential characteristic of big data that refers to the _____
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Correct Answer:
All of these
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Velocity is an essential characteristic of big data that refers to the impressive _____ at which it can be gathered.
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Correct Answer:
Speed
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Variety is an essential characteristic of big data that refers to the_____
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Correct Answer:
Both a and b
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Uninterpretable is a condition when a test’s outcome is invalid because_____
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Correct Answer:
Test has not been conducted according to correct instructions
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The condition where a test indicates the presence of a disease and the patient really does have the disease is known as_____
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Correct Answer:
True positive
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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.
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Correct Answer:
True
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Structural Equation Modeling can be used to test how well alternative theoretical models best fit a set of data.
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Correct Answer:
True
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A characteristic of a good test where it is likely to be_____ when it does not indicate the presence of a disease.
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Correct Answer:
Both a and b
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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.
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Correct Answer:
False
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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_____
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Correct Answer:
Relative Risk Reduction
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Receiver Operating Curve is a graphical representation of a signal detection theory where the_____ of tests can be visually analyzed.
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Correct Answer:
Both a and b
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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.
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Correct Answer:
Cases
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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_____
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Correct Answer:
Prevalence
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The use of Multivariate Analysis of Variance has declined because_____
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Correct Answer:
Both a and b
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Multivariate Statistics is a family of different statistical designs and procedures involving the analysis of more than one _____ variable at the same time.
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Correct Answer:
Dependent
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Multivariate Analysis of Covariance is a technique that analyzes the effects of _____
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Correct Answer:
One or more covariates alongwith one or more independent variables
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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.
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Correct Answer:
Dichotomous criterion
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Multiple Regression is a technique that allows a single dependent variable to be predicted from several independent variables.
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Correct Answer:
True
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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_____
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Correct Answer:
Without disease
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Intermediate results is a condition when a test’s outcome does not fall between these positive or negative conditions.
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Correct Answer:
True
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Incidence is the number of verified new cases of a disease during a period of time divided by the _____ in the population.
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Correct Answer:
Total number of people
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Iatrogenic Effect is a condition that arises when the diagnosis of a disease or condition, or the treatment of a disease or condition, is_____
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Correct Answer:
Harmful
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The condition where a test indicates the presence of a disease and the patient really does not have the disease is known as_____
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Correct Answer:
False positive
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The condition where a test does not indicate the presence of a disease and the patient really does not have the disease.
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Correct Answer:
False
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Factor Analysis can be used to reduce a set of variables by identifying_____items.
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Correct Answer:
Redundant
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Equivocal Results are the test outcomes that are
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Correct Answer:
All of these
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Cluster Analysis is a technique that allows classification of a large set of objects into distinct subgroups based on_____ variables.
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Correct Answer:
Predictor
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The quotient of Case Fatality Proportion is reported as an interpretable multiple such as_____
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Correct Answer:
1000
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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.
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Correct Answer:
Prevalence proportion of the disease
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In canonical correlation, one set of variable is specified as criterion set and the other as_____
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Correct Answer:
Predictor set
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Annual Crude Death Rate is the number of deaths in a year divided by the population as of midyear of that same year.
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Correct Answer:
True
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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
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Correct Answer:
Both a and b
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Age-specific Death Rate is the number of deaths in a given age range divided by the total population of that age range at _____
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Correct Answer:
Midyear
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The reduction in risk outcomes between two differently treated groups is known as_____
Answer
Correct Answer:
Absolute risk reduction
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