What is 'Statistics'
Statistics is a form of mathematical analysis that uses quantified models, representations and synopses for a given set of experimental data or reallife studies. 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.
BREAKING DOWN 'Statistics'
Statistics is a term used to summarize a process that an analyst uses to characterize a data set. If the data set depends on a sample of a larger population, then the analyst can develop interpretations about the population primarily based on the statistical outcomes from the sample. Statistical analysis involves the process of gathering and evaluating data and then summarizing the data into a mathematical form.
Statistical methods analyze large volumes of data and their properties. Statistics is used in various disciplines such as psychology, business, physical and social sciences, humanities, government and manufacturing. Statistical data is gathered using a sample procedure or other method. Two types of statistical methods are used in analyzing data: descriptive statistics and inferential statistics. Descriptive statistics are used to synopsize data from a sample exercising the mean or standard deviation. Inferential statistics are used when data is viewed as a subclass of a specific population.
Mean
A mean is the mathematical average of a group of two or more numerals. 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 investorâ€™s portfolio invested in that same commodity over the same period.
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. This is depicted in the form of a straight line called linear regression.
Skewness
Skewness describes the degree a set of data varies from the standard distribution in a set of statistical data. 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.
Kurtosis
Kurtosis measures whether the data are lighttailed or heavytailed that correlate to a standard distribution. 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.
Variance
Variance is a measurement of the span of numbers in a data set. The variance measures the distance each number in the set is from the mean. Variance can help determine the risk an investor might accept when buying an investment.
Analysis of Variance
Ronald Fisher developed the analysis of variance method. It is used to decide the effect solitary variables have on a variable that is dependent. It may be used to compare the performance of different stocks over time.

Descriptive Statistics
A set of brief descriptive coefficients that summarizes a given ... 
Skewness
Describe asymmetry from the normal distribution in a set of statistical ... 
Variance
The spread between numbers in a data set, measuring Variance ... 
Variability
The extent to which data points in a statistical distribution ... 
Analysis Of Variance  ANOVA
A statistical analysis tool that separates the total variability ... 
Heteroskedastic
A measure in statistics that refers to the variance of errors ...

Trading
Understanding Statistics
Statistics provide the means to analyze data and then summarize it into a numerical form. 
Investing
What is Descriptive Statistics?
Descriptive statistics is the term applied to meaningful data analysis. 
Trading
Trading With Gaussian Models Of Statistics
The entire study of statistics originated from Gauss and allowed us to understand markets, prices and probabilities, among other applications. 
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Can Investors Trust Official Statistics?
The official statistics in some countries need to be taken with a grain of salt. Find out why you should be skeptical. 
Trading
What's Skewness?
Skewness describes how a data distribution leans. 
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Explaining Variance
Variance is a measurement of the spread between numbers in a data set. 
Trading
How Big Data Has Changed Finance
The vast proliferation of data and increasing technological complexities continues to transform the way industries operate and compete. 
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World Bank Data For Dummies
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Managing Wealth
Data Analyst: Job Description & Average Salary
Learn about a data analyst career and how much money you can expect to make. Understand the skills and education needed to become a data analyst. 
Investing
Explaining Standard Error
Standard error is a statistical term that measures the accuracy with which a sample represents a population.

What is the difference between variance and standard deviation?
Explore the differences between standard deviation and variance. Learn more about how statisticians use these two concepts. Read Answer >> 
What is the difference between standard deviation and variance?
Understand the difference between standard deviation and variance; learn how each is calculated and how these concepts are ... Read Answer >> 
What is the difference between standard deviation and mean?
Understand the basics of calculating and interpreting mean and standard deviation and how these mathematical fundamentals ... Read Answer >> 
Is the Bureau of Labor Statistics accurate?
Read this brief analysis of the accuracy of Bureau of Labor Statistics, including a summary of the types of reports issued ... Read Answer >> 
What percentage of the population do you need in a representative sample?
Learn about representative samples and how they are used in conjunction with other strategies to create useful data with ... Read Answer >> 
What does the Bureau of Labor Statistics do?
By collecting, analyzing and reporting on important economic data, the Bureau of Labor Statistics has become a critical information ... Read Answer >>