MCQOPTIONS
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MCQOPTIONS
This section includes 15 Mcqs, each offering curated multiple-choice questions to sharpen your Data Science knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
Linear models are the most useful applied statistical technique. |
| A. | True |
| B. | False |
| Answer» C. | |
| 2. |
Which of the following analysis is a statistical process for estimating the relationships among variables? |
| A. | Causal |
| B. | Regression |
| C. | Multivariate |
| D. | All of the mentioned |
| Answer» C. Multivariate | |
| 3. |
How many outcomes are possible with bernoulli trial? |
| A. | 2 |
| B. | 3 |
| C. | 4 |
| D. | None of the mentioned |
| Answer» B. 3 | |
| 4. |
Which of the following is example use of Poisson distribution? |
| A. | Analyzing contingency table data |
| B. | Modeling web traffic hits |
| C. | Incidence rates |
| D. | All of the mentioned |
| Answer» E. | |
| 5. |
Collection of exchangeable binary outcomes for the same covariate data are called _______ outcomes. |
| A. | random |
| B. | direct |
| C. | binomial |
| D. | none of the mentioned |
| Answer» D. none of the mentioned | |
| 6. |
Which of the following component is involved in generalized linear models? |
| A. | An exponential family model for the response |
| B. | A systematic component via a linear predictor |
| C. | A link function that connects the means of the response to the linear predictor |
| D. | All of the mentioned |
| Answer» E. | |
| 7. |
How many components are present in generalized linear models? |
| A. | 2 |
| B. | 4 |
| C. | 6 |
| D. | None of the mentioned |
| Answer» E. | |
| 8. |
LINEAR_MODELS_ARE_THE_MOST_USEFUL_APPLIED_STATISTICAL_TECHNIQUE.?$ |
| A. | True |
| B. | False |
| Answer» C. | |
| 9. |
Which of the following analysis is a statistical process for estimating the relationships among variables ? |
| A. | Causal |
| B. | Regression |
| C. | Multivariate |
| D. | All of the Mentioned |
| Answer» C. Multivariate | |
| 10. |
How many outcomes are possible with bernoulli trial ? |
| A. | 2 |
| B. | 3 |
| C. | 4 |
| D. | None of the Mentioned |
| Answer» B. 3 | |
| 11. |
Principal components or factor analytic models on covariates are often useful for reducing complex covariate spaces. |
| A. | True |
| B. | False |
| Answer» B. False | |
| 12. |
Which of the following is example use of Poisson distribution ? |
| A. | Analyzing contingency table data |
| B. | Modeling web traffic hits |
| C. | Incidence rates |
| D. | All of the Mentioned |
| Answer» E. | |
| 13. |
Collection of exchangeable binary outcomes for the same covariate data are called _______ outcomes. |
| A. | random |
| B. | direct |
| C. | binomial |
| D. | none of the Mentioned |
| Answer» D. none of the Mentioned | |
| 14. |
Which of the following component is involved in generalized linear models ? |
| A. | An exponential family model for the response |
| B. | A systematic component via a linear predictor |
| C. | A link function that connects the means of the response to the linear predictor |
| D. | All of the Mentioned |
| Answer» E. | |
| 15. |
How many components are present in generalized linear models ? |
| A. | 2 |
| B. | 4 |
| C. | 6 |
| D. | None of the Mentioned |
| Answer» E. | |