Mathematics · Quantitative Aptitude
Statistics and Dispersion
515 Questions
Statistics and dispersion involve the calculation of mean, standard deviation, variance, and coefficient of variation for data sets. These questions also cover probability distributions and cumulative frequency analysis. Such quantitative aptitude topics are heavily featured in banking and SSC examinations.
Standard deviationNormal distributionMean calculationCumulative frequencyCoefficient of variation
Statistics and Dispersion Questions
What is the formula for calculating the margin of error in a confidence interval?
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Margin of Error = (Critical Value) * (Standard Error)
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Margin of Error = (Confidence Level) * (Standard Error)
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Margin of Error = (Sample Size) * (Standard Error)
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Margin of Error = (Standard Deviation) * (Critical Value)
A
Correct answer
Explanation
The margin of error is calculated by multiplying the critical value, which is based on the level of confidence and degrees of freedom, by the standard error of the mean.
In a confidence interval for a population proportion, what is the formula for calculating the standard error?
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Standard Error = (Sample Proportion) * (1 - Sample Proportion) / Sample Size
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Standard Error = (Sample Mean) / Sample Size
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Standard Error = (Standard Deviation) / Sample Size
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Standard Error = (Sample Proportion) * (Sample Size)
A
Correct answer
Explanation
For a confidence interval for a population proportion, the standard error is calculated using the formula: Standard Error = sqrt((Sample Proportion) * (1 - Sample Proportion) / Sample Size).
What is the expected value of a random variable?
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The average value of the random variable.
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The median value of the random variable.
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The mode value of the random variable.
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None of the above.
A
Correct answer
Explanation
The expected value of a random variable is the average value of the random variable. It is calculated by multiplying each possible value of the random variable by its probability and then summing the results.
In a normal distribution, what percentage of data falls within one standard deviation of the mean?
A
Correct answer
Explanation
In a normal distribution, approximately 68% of the data falls within one standard deviation of the mean.
What is the standard deviation of a random variable?
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The square root of the variance of the random variable
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The average value of the random variable
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The most likely value of the random variable
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The median value of the random variable
A
Correct answer
Explanation
The standard deviation of a random variable is the square root of the variance of the random variable. It is a measure of how spread out the values of the random variable are.
In a normal population with mean (\mu) and standard deviation (\sigma), the sampling distribution of the sample mean (\overline{X}) for samples of size n is:
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Normal with mean \(\mu\) and standard deviation \(\sigma\)
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Normal with mean \(\mu\) and standard deviation \(\sigma/\sqrt{n}\)
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Normal with mean \(\mu\) and standard deviation \(\sigma\sqrt{n}\)
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Normal with mean \(\mu/n\) and standard deviation \(\sigma\)
B
Correct answer
Explanation
The sampling distribution of the sample mean follows a normal distribution with mean (\mu) and standard deviation (\sigma/\sqrt{n}), where n is the sample size.
What is the average HDI of the world?
A
Correct answer
Explanation
The average HDI of the world is 0.7, according to the 2020 Human Development Report.
What is the formula for calculating the average order value?
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(Total Revenue / Number of Orders)
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(Total Revenue / Number of Website Visitors)
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(Total Revenue / Number of Page Views)
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(Total Revenue / Number of Leads)
A
Correct answer
Explanation
The average order value is calculated by dividing the total revenue by the number of orders.
What is the formula for calculating the optimal portfolio weights using the mean-variance optimization approach?
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w = (Σ^-1 μ) / (μ^T Σ^-1 μ)
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w = (Σ μ) / (μ^T Σ μ)
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w = (Σ^-1 μ) / (μ^T Σ μ)
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w = (Σ μ) / (μ^T Σ^-1 μ)
A
Correct answer
Explanation
The optimal portfolio weights using the mean-variance optimization approach are calculated using the formula w = (Σ^-1 μ) / (μ^T Σ^-1 μ), where Σ is the covariance matrix of the asset returns, μ is the vector of expected asset returns, and w is the vector of optimal portfolio weights.
What is the formula for calculating the Sharpe ratio of a portfolio?
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Sharpe ratio = (Expected return of portfolio - Risk-free rate) / Standard deviation of portfolio returns
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Sharpe ratio = (Expected return of portfolio + Risk-free rate) / Standard deviation of portfolio returns
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Sharpe ratio = (Expected return of portfolio - Risk-free rate) / Variance of portfolio returns
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Sharpe ratio = (Expected return of portfolio + Risk-free rate) / Variance of portfolio returns
A
Correct answer
Explanation
The Sharpe ratio of a portfolio is a measure of its risk-adjusted return. It is calculated by dividing the difference between the expected return of the portfolio and the risk-free rate by the standard deviation of the portfolio returns.
What is the formula for calculating the Information ratio of a portfolio?
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Information ratio = (Expected return of portfolio - Benchmark return) / Standard deviation of portfolio returns
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Information ratio = (Expected return of portfolio + Benchmark return) / Standard deviation of portfolio returns
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Information ratio = (Expected return of portfolio - Benchmark return) / Variance of portfolio returns
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Information ratio = (Expected return of portfolio + Benchmark return) / Variance of portfolio returns
A
Correct answer
Explanation
The Information ratio of a portfolio is a measure of its excess return over and above a benchmark return per unit of risk. It is calculated by dividing the difference between the expected return of the portfolio and the benchmark return by the standard deviation of the portfolio returns.
The range of a dataset is calculated by:
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Maximum value - Minimum value
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Maximum value + Minimum value
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Mean - Median
A
Correct answer
Explanation
The range is the difference between the maximum and minimum values in a dataset.
The median of a dataset is:
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The middle value when the data is arranged in ascending order
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The average of the two middle values when the data is arranged in ascending order
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The value that occurs most frequently
A
Correct answer
Explanation
The median is the middle value when the data is arranged in ascending order. If there are an even number of observations, the median is the average of the two middle values.
The empirical rule states that, in a normal distribution, approximately what percentage of data falls within one standard deviation of the mean?
A
Correct answer
Explanation
The empirical rule states that, in a normal distribution, approximately 68% of data falls within one standard deviation of the mean.
In a normal distribution, the mean, median, and mode are all equal. True or False?
A
Correct answer
Explanation
In a normal distribution, the mean, median, and mode are all equal to the same value.