Binary and Count Outcomes

Question 1
Marks : +2 | -2
Pass Ratio : 100%
How many outcomes are possible with bernoulli trial?
2
3
4
None of the mentioned
Explanation:
Bernoulli trial is a random experiment with exactly two possible outcomes.
Question 2
Marks : +2 | -2
Pass Ratio : 100%
Point out the wrong statement.
Asymptotics are used for inference usually
Adding squared terms makes it continuously differentiable at the knot points
Adding squared terms makes it twice continuously differentiable at the knot points
None of the mentioned
Explanation:
Adding cubic terms makes it twice continuously differentiable at the knot points.
Question 3
Marks : +2 | -2
Pass Ratio : 100%
Which of the following analysis is a statistical process for estimating the relationships among variables?
Causal
Regression
Multivariate
All of the mentioned
Explanation:
Regression models provide the scientist with a powerful tool, allowing predictions about past, present, or future events to be made with information about past or present events.
Question 4
Marks : +2 | -2
Pass Ratio : 100%
Collection of exchangeable binary outcomes for the same covariate data are called _______ outcomes.
random
direct
binomial
none of the mentioned
Explanation:
The multivariate regression model for binary outcomes gives odds ratios, not risk ratios.
Question 5
Marks : +2 | -2
Pass Ratio : 100%
Principal components or factor analytic models on covariates are often useful for reducing complex covariate spaces.
True
False
Explanation:
The space of models explodes quickly as you add interactions and polynomial terms.
Question 6
Marks : +2 | -2
Pass Ratio : 100%
Which of the following component is involved in generalized linear models?
An exponential family model for the response
A systematic component via a linear predictor
A link function that connects the means of the response to the linear predictor
All of the mentioned
Explanation:
GLM is a flexible generalization of ordinary linear regression that allows for response variables that have error distribution models other than a normal distribution.
Question 7
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Pass Ratio : 100%
How many components are present in generalized linear models?
2
4
6
None of the mentioned
Explanation:
Generalized linear models involve three components.
Question 8
Marks : +2 | -2
Pass Ratio : 100%
Which of the following is example use of Poisson distribution?
Analyzing contingency table data
Modeling web traffic hits
Incidence rates
All of the mentioned
Explanation:
The Poisson distribution is a useful model for counts and rates.
Question 9
Marks : +2 | -2
Pass Ratio : 100%
Point out the wrong statement.
Additive response models don’t make much sense if the response is discrete, or strictly positive
Transformations are often easy to interpret in linear model
Regression models are used to predict one variable from one or more other variables
All of the mentioned
Explanation:
Transformations are often hard to interpret in linear model.
Question 10
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Pass Ratio : 100%
Linear models are the most useful applied statistical technique.
True
False
Explanation:
Linear model do have limitations.