Practical Data Science using Python - Statistics and Experiments

What is the primary focus of descriptive statistics?

• Determining causation

• Testing hypotheses

• Predicting future trends

• Summarizing data features

Which statistical method is used to determine if data is normally distributed?

• Correlation analysis

• Hypothesis testing

• Descriptive statistics

• Probability theory

How can statistical methods help in understanding user behavior on streaming platforms?

• By analyzing historical viewing data

• By increasing subscription fees

• By predicting future content

• By creating new content

What is a key feature of a double-blind experiment?

• Only the researchers know who receives the treatment

• Participants know if they receive the treatment

• Neither participants nor researchers know who receives the treatment

• Only participants know who receives the treatment

What is the purpose of randomization in controlled experiments?

• To reduce the cost of the experiment

• To eliminate confounding factors

• To increase the treatment effect

• To ensure a larger sample size

What distinguishes observational studies from controlled experiments?

• They always use placebo groups

• They are conducted in a lab setting

• They involve random assignment

• They observe phenomena without intervention

In data science, what is a predictor variable?

• A variable that is not used in analysis

• A variable that is always constant

• A variable that influences the target variable

• A variable that is predicted

What is the difference between association and causation?

• Causation is a weaker relationship than association

• Association implies causation

• Causation implies association

• Association is a stronger relationship than causation

What is the target variable in a predictive model?

• The variable that is not used in analysis

• The variable that is predicted

• The variable that predicts others

• The variable that is always constant

Why is it important to differentiate between association and causation?

• To ensure accurate predictions

• To increase sample size

• To reduce experiment costs

• To simplify data analysis