Big Data & Analytics Quiz

What does the volume of Big Data allow for?

• Low statistical power

• Biased estimates

• Estimates may not be valid in the future

• Statistical significant estimates

What does correlation not imply?

• Causation

• Spurious correlation

• Pearson correlation coefficient

• Statistical significance

What is the Gold Standard for establishing causation?

• Propensity Score Matching

• IP Weighting

• Double Blind Randomized Controlled Experiments

• Bayesian Networks

What method allows researchers to get closer to answering the question of causality?

• Dashboards

• Standardization

• Completely Randomized Experiments

• Predictive models: Logistic Regression

What should decisions be based on?

• Volume of Big Data

• Statistical significance

• Significance

• Unbiased estimators

What leads to less biased estimates in Big Data?

• Low velocity

• Limited variety

• Variety of Big Data

• High statistical power

What are estimates from regression models based on observational data?

• Statistical significant

• Biased

• Unbiased

• Low statistical power

What gets us closer to causal interpretation of effect estimates?

• Adding more confounders

• Using inappropriate methods

• Estimates from Dashboard

• Low variety of data

Big Data Analytics is characterized by

Volume is the ____________ of records.

• number

• variety

• speed