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Bootstrap MCQ Questions with Answer

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Bootstrap MCQ Questions with Answer

 

1. What is Bootstrap in statistics?

A. A method of random sampling with replacement

B. A non-parametric test

C. A technique for estimating the sampling distribution of a statistic

D. A form of regression analysis

Answer: C. A technique for estimating the sampling distribution of a statistic.

 

2. Which of the following is an advantage of using Bootstrap?

A. It works well with small sample sizes

B. It assumes a normal distribution

C. It requires no assumptions about the underlying distribution of the data

D. It is easy to implement

Answer: C. It requires no assumptions about the underlying distribution of the data.

 

3. What is the purpose of Bootstrap?

A. To create a sample from a population

B. To estimate the standard error of a statistic

C. To test the significance of a difference between two means

D. To determine the confidence interval of a parameter

Answer: B. To estimate the standard error of a statistic.

 

4. Which of the following statements is true about Bootstrap?

A. It can only be used for small sample sizes

B. It can be used for any statistical test

C. It involves resampling with replacement

D. It is a type of non-parametric test

Answer: C. It involves resampling with replacement.

 

5. Which of the following is a limitation of Bootstrap?

A. It can only be used with parametric tests

B. It is computationally expensive

C. It requires assumptions about the underlying distribution of the data

D. It is not suitable for small sample sizes

Answer: B. It is computationally expensive.

 

6. Which of the following is an example of Bootstrap?

A. Sampling without replacement

B. Resampling with replacement

C. Stratified sampling

D. Cluster sampling

Answer: B. Resampling with replacement.

 

7. Which of the following is a step in the Bootstrap process?

A. Divide the sample into strata

B. Select a random sample from the population

C. Resample with replacement from the original sample

D. Apply a statistical test to the resampled data

Answer: C. Resample with replacement from the original sample.

 

8. What is the Bootstrap distribution?

A. The distribution of the original data

B. The distribution of the resampled data

C. The distribution of the standard error

D. The distribution of the sample mean

Answer: B. The distribution of the resampled data.

 

9. Which of the following is a use case for Bootstrap?

A. Testing the significance of a difference between two means

B. Estimating the population variance

C. Testing the normality of the data

D. Calculating the correlation coefficient

Answer: A. Testing the significance of a difference between two means.

 

10. What is the main benefit of using Bootstrap?

A. It guarantees accurate results

B. It is computationally efficient

C. It allows for the estimation of the standard error of a statistic without making assumptions about the underlying distribution of the data

D. It can be used for any statistical test

Answer: C. It allows for the estimation of the standard error of a statistic without making assumptions about the underlying distribution of the data.

Bootstrap MCQ Questions with Answer