Big Data & Analytics Flashcard

Front

What does the volume of Big Data allow for?

Back

Statistical significant estimates

Front

What does correlation not imply?

Back

Causation

Front

What is the Gold Standard for establishing causation?

Back

Double Blind Randomized Controlled Experiments

Front

What method allows researchers to get closer to answering the question of causality? Options: Dashboards, Standardization, Completely Randomized Experiments, Predictive models: Logistic Regression

Back

Predictive models: Logistic Regression

Front

What should decisions be based on? Options: Volume of Big Data, Statistical significance, Significance, Unbiased estimators

Back

Significance

Front

What leads to less biased estimates in Big Data? Options: Low velocity, Limited variety, Variety of Big Data, High statistical power

Back

Variety of Big Data

Front

What are estimates from regression models based on observational data?

Back

Biased

Front

What gets us closer to causal interpretation of effect estimates?

Back

Adding more confounders

Front

Big Data Analytics is characterized by

Back

volume, variety, velocity

Front

Volume is the ____________ of records.

Back

number