Data Science Miscellaneous MCQ Questions and Answers | Data Science MCQs

A. To measure the difference between two probability distributions

B. To calculate the mean squared error

C. To determine the sample size

D. To perform data imputation

A. Model visualization

B. Data augmentation

C. Data imputation

D. Model stacking

A. To calculate the standard error of the regression

B. To determine the p-value

C. To measure the proportion of the variance in the dependent variable explained by the independent variables

D. To visualize data

A. The process of data imputation

B. The process of reducing the dimensionality of data while retaining important information

C. The process of data normalization

D. The process of data imputation

A. The trade-off between model complexity and model performance

B. The trade-off between false positives and false negatives

C. The balance between a model's ability to fit training data and its ability to generalize to unseen data

D. The trade-off between precision and recall

A. Removing outliers from a dataset

B. Creating data backups

C. Sharing data publicly

D. Obtaining permission from individuals before collecting their data

A. A variable that can affect both the dependent variable and independent variable, leading to a potential spurious relationship

B. A variable that is constant for all data points

C. A variable that is unrelated to the analysis

D. A variable that is used for visualization only

A. Data visualization

B. Data augmentation

C. Feature engineering

D. Data partitioning

A. Chi-squared test

B. ANOVA

C. Paired t-test

D. Regression analysis

A. Data aggregation

B. Analyzing data from different domains or fields to find common patterns

C. Model stacking

D. Data aggregation