FRM 2026 Part I Quantitative Analysis Statistics Free Quiz 1

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

General10 MCQs

1. What is the purpose of descriptive statistics?

A. Descriptive statistics are used to make predictions about populationsB. Descriptive statistics summarise and describe dataC. Descriptive statistics are used to test hypothesesD. Descriptive statistics are only used for categorical data

2. What is inferential statistics?

A. Inferential statistics only describe the sampleB. Inferential statistics are the same as descriptive statisticsC. Inferential statistics use sample data to make inferences about a populationD. Inferential statistics are not used in quantitative analysis

3. What is the formula for the sample mean?

A. Mean = Σx / nB. Mean = Σx / (n-1)C. Mean = Σx × nD. Mean = Σx / (n+1)

4. What is the median?

A. The median is the most frequent valueB. The median is the average of all valuesC. The median is the difference between the maximum and minimumD. The median is the middle value of a sorted dataset

5. What is the mode?

A. The mode is the average of all valuesB. The mode is the most frequent valueC. The mode is the middle valueD. The mode is the difference between the maximum and minimum

General10 MCQs

6. What is the range of a dataset?

A. Range = Maximum × MinimumB. Range = Maximum + MinimumC. Range = Maximum - MinimumD. Range = (Maximum + Minimum) / 2

7. What is the interquartile range (IQR)?

A. IQR = Q3 - Q1B. IQR = Q1 - Q3C. IQR = (Q3 + Q1) / 2D. IQR = Q3 / Q1

8. Why does sample variance use n-1 in the denominator?

A. Sample variance uses n in the denominatorB. Sample variance uses n+1 in the denominatorC. Sample variance uses n-2 in the denominatorD. Sample variance uses n-1 in the denominator

9. What is the relationship between standard deviation and variance?

A. Standard deviation = Variance²B. Standard deviation = √VarianceC. Standard deviation = Variance / 2D. Standard deviation = Variance × 2

10. What is the coefficient of variation (CV)?

A. CV = σ / μB. CV = μ / σC. CV = (σ / μ) × 100%D. CV = (μ / σ) × 100%

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