FRM 2026 Part I Quantitative Analysis Statistics Free Quiz 2

Practice FRM 2026 Part I Quantitative Analysis MCQs from Statistics. Get instant results with Explanation.

General10 MCQs

1. What does skewness measure?

A. Skewness measures asymmetry of a distributionB. Skewness measures the peakedness of a distributionC. Skewness measures the spread of a distributionD. Skewness is always zero for all distributions

2. What does kurtosis measure?

A. Kurtosis measures asymmetryB. Kurtosis measures central tendencyC. Kurtosis measures the spreadD. Kurtosis measures the tailedness of a distribution

3. What is the difference between a population and a sample?

A. A population is a subset of a sampleB. A population is the entire set of interest; a sample is a subsetC. A sample is the entire set of interestD. Population and sample are the same

4. What is the difference between a parameter and a statistic?

A. Parameters are calculated from samplesB. Statistics are calculated from populationsC. Parameters describe populations; statistics describe samplesD. Parameters and statistics are the same

5. Is the sample mean an unbiased estimator of the population mean?

A. The sample mean is an unbiased estimator of the population meanB. The sample mean is a biased estimator of the population meanC. The sample mean is not a consistent estimatorD. The sample mean is not used to estimate population mean

General10 MCQs

6. What is the standard error?

A. Standard error is the same as standard deviationB. Standard error is the square root of the varianceC. Standard error is the mean of the sampling distributionD. Standard error is the standard deviation of the sampling distribution

7. What is the central limit theorem?

A. The central limit theorem applies only to normal populationsB. The central limit theorem applies to any population with finite varianceC. The central limit theorem requires a sample size of at least 30D. The central limit theorem is only for the sample median

8. What is a confidence interval?

A. A confidence interval always contains the population parameterB. A confidence interval is the same as the sample rangeC. A confidence interval provides a range for the population parameter with a given confidence levelD. A confidence interval is the same as the standard error

9. What is the p-value in hypothesis testing?

A. The p-value is the probability of observing the data given the null hypothesis is trueB. The p-value is the probability that the null hypothesis is trueC. The p-value is the probability that the alternative hypothesis is trueD. The p-value is the significance level

10. When is the t-distribution used?

A. The t-distribution is used when the population standard deviation is knownB. The t-distribution is used for large samplesC. The t-distribution has lighter tails than the normal distributionD. The t-distribution is used when the population standard deviation is unknown and sample size is small

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