Temporal Models DY0-001 Practice Questions (Page 7)

Questions 31–34

1. 31foundation · easy

   Which of the following is a technique used for forecasting future values in a time series?

   • AChi-squared test
   • BKaplan-Meier estimation
   • CPrincipal component analysis (PCA)
   • DAutoregressive integrated moving average (ARIMA)
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2. 32foundation · easy

   What is a key difference between survival analysis and causal inference?

   • ASurvival analysis requires experimental data, while causal inference requires observational data
   • BSurvival analysis focuses on time-to-event data, while causal inference focuses on establishing cause-and-effect relationships
   • CSurvival analysis is parametric, while causal inference is non-parametric
   • DSurvival analysis is used for prediction, while causal inference is used for description
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4. 33application · medium

   A data analyst is studying monthly sales data for a retail chain. They notice that sales are highly correlated with the number of promotional emails sent, but they suspect both are driven by the holiday season. The analyst wants to quantify the relationship between emails and sales while controlling for the seasonal pattern. Which technique is most appropriate?

   • ASeasonal adjustment or deseasonalizing the data before correlation analysis
   • BSimple linear regression of sales on emails without any adjustment
   • CGranger causality test on the raw data
   • DKaplan-Meier survival analysis on sales data
   Reveal Solution Discussion Select an answer first
5. 34foundation · easy

   What does the Kaplan-Meier estimator primarily provide?

   • AA forecast of future survival times
   • BA parametric model for survival data
   • CA measure of the causal effect of a treatment on survival
   • DA non-parametric estimate of the survival function
   Reveal Solution Discussion Select an answer first