Statistics

Regression coefficient

Coefficients refer to the statistics details that multiply the available factors or parameters in a specific equation. The graph of an equation is affected by the sign of its coefficients and their sizes. The technique of regression coefficient is like the slope of the regression equation’s line. The coefficient of a straightforward linear equation (with […]

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Time Series Analysis

Introduction In the wider scope of statistics, a time series is a sequence that shows discrete-time data. Time series analysis is oftentimes done through a line chart or run chart and it has a varied field of application ranging from statistics to pattern recognition, electroencephalography, communications engineering, mathematical finance, and weather forecasting. Time series analysis,

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Time Series

What is the Time Series?  When the values of a variable are recorded concerning the time of its occurrence, then the arrangement is known as a Time Series. Time Series helps in understanding the trend, periodicity, etc. in long-term time-series data. The period may be a year, quarter, month, week, days, hours, and so on. Time series graph is

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Theoretical Distributions

Introduction: In daily life and practical scenarios, there is rarely any experiment with one definite outcome like on or off, or a particular thing will happen or will not happen. In statistics, specific procedures are repeated for n number of times, and the results are accumulated and represented as theoretical distribution.  The frequency distribution is obtained

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Standard Deviation

What is a standard deviation? In statistics, standard deviation measures the data set dispersion relative to its mean. It is measured as a square root (sq. root) of the variance. The process standard deviation was given by Karl Pearson in 1893. Standard deviation is calculated by the sq. root of the variance by summing each

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Regression lines

Introduction In statistics, a regression line is a tool that is used to analyze the relationship between two variables. There are different types of regression lines, but the most common is the least-squares regression line. This type of regression line is used to find the point of intersection of two regression lines, and to determine

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Quartiles

Quartile is a branch of statistics that is a type of quantile. This divides any given data set into four parts (or quarters) of the same size as possible. The second quartile is the median of the data set. The first quartile is the point exactly between the smallest number and the median of the

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Probability

What is the meaning of Probability?  The meaning of Probability is quite simple. It is defined as the ratio of favorable outcomes by the total number of possible outcomes, where the event has an ‘n’ number of outcomes. If the number of favorable outcomes is denoted by ‘x,’ then the formula of Probability of an

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