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Statistics (BREAKING DOWN 'Statistics' (If the data set depends on…
Statistics
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What is 'Statistics'
Statistics studies methodologies to gather, review, analyze and draw conclusions from data
Some statistical measures include mean, regression analysis, skewness, kurtosis, variance and analysis of variance.
Statistics is a form of mathematical analysis that uses quantified models, representations and synopses for a given set of experimental data or real-life studies
Skewness
Most data sets, including commodity returns and stock prices, have either positive skew
a curve skewed toward the left of the data average, or negative skew, a curve skewed toward the right of the data average.
Skewness describes the degree a set of data varies from the standard distribution in a set of statistical data
Kurtosis
Data sets with high kurtosis have heavy tails, which results in less investment risk
Data sets with low kurtosis have light tails, which results in greater investment risk.
Kurtosis measures whether the data are light-tailed or heavy-tailed that correlate to a standard distribution
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Regression Analysis
Regression analysis determines the extent to which specific factors such as interest rates, the price of a product or service, or particular industries or sectors influence the price fluctuations of an asset
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Mean
The mean for a specified set of numbers can be computed in multiple ways, including the arithmetic mean, which shows how well a specific commodity performs over time, and the geometric mean
which shows the performance results of an investor’s portfolio invested in that same commodity over the same period.
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