Resampling Methods and Bayesian Approach Quiz
This quiz covers topics on resampling methods such as bootstrapping, jackknife, and cross-validation, as well as the Bayesian approach in statistics. Questions range from understanding the types of resampling methods to their applications in data analysis. Test your knowledge and learn more about these statistical techniques!
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UNGRADED QUIZ Unit 6
Show me your fingers Do not shout out the answer, or your classmates will follow what you said. Use your fingers One finger (the right finger) = A Two fingers = B Three fingers = C Four fingers = D No finger = I don t know. I didn t study
Which of the following resampling methods is based on sampling WITH replacement? A. Jackknife B. Cross-validation C. Bootstrapping D. All of the above
Which of the following resampling methods is based on sampling WITHOUT replacement? A. Jackknife B. Cross-validation C. Bootstrapping D. A and B
Which of the following statements about resampling is true? A. Originally resampling was developed for big data sets. B. Two resampling methods, Jackknife and exact tests, are commonly used in big data analytics. C. The root of resampling is Monte Carlo simulation. D. Resampling does not need real data.
Which of the following statements is true? A. Like the sampling distribution, the empirical distribution generated by bootstrapping is always normal. B. Jackknife does not assume that every observation is treated equally. C. Bootstrapping means one sample gives rise to many samples. D. Fisher used the exact test to solve the problem of lady s tasting coffee.
Which of the following statements about JMP and R is true? A. JMP connection to R works across different platforms (Windows and Mac). B. You need to write a script to enable JMP s connection with R. C. You can run R codes in JMP, but you have to view the result in R Studio, not in JMP. D. The resampling code in R is available in the JMP library.
Which of the following statements abut the Bayesian approach is true? A. Unlike the frequency approach, the answer yielded by Bayesianism is a distribution of possible answers, not a single point estimate of a fixed parameter. B. The Bayesian approach utilizes Marko Chain Monte Carol (MCMC) to resample from the data in order to create a distribution of possible answers.. C. The MCMC procedure is available in SAS. D. All of the above.
