Category Archive : Quants

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Sum of Squared Errors (SSE)

Quants

Sum of Squared Errors (SSE)

Learn sum of squared errors SSE in regression, how it measures prediction error, and its role in ordinary least squares and CFA quantitative methods.

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Sum of Squared Residuals: Looking at the Model’s Mistakes

Quants

Sum of Squared Residuals: Looking at the Model’s Mistakes

Learn sum of squared residuals in regression, how it measures model errors, and its role in ordinary least squares and CFA quantitative methods.

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R²: How Much of the Data the Model Actually Explains

Quants

R²: How Much of the Data the Model Actually Explains

Learn R squared in regression, how it measures explanatory power, and how to interpret coefficient of determination in CFA quantitative methods and finance.

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Probability Sampling and Why Randomness Matters

Quants

Probability Sampling and Why Randomness Matters

Learn what probability sampling is, why randomness allows statistical inference, and how simple random, stratified, and cluster sampling differ for CFA quantitative methods.

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Non-Probability Sampling and Selection Without Randomness

Quants

Non-Probability Sampling and Selection Without Randomness

Understand non probability sampling, its types such as convenience and quota sampling, and why lack of randomness limits statistical inference in research and CFA exams.

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Mean and What an Average Really Represents

Quants

Mean and What an Average Really Represents

Understand what the mean really represents in statistics and finance. Learn how the mean is used, why it matters for risk analysis, and when it can be misleading.

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Mean Absolute Deviation and Measuring Average Dispersion

Quants

Mean Absolute Deviation and Measuring Average Dispersion

Mean Absolute Deviation explained intuitively. Learn how MAD measures average dispersion, how it differs from variance and standard deviation, and why it matters in CFA and FRM exams.

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