What is the frequency distribution curve?

Frequency distribution curve is a type of descriptive statistics shown as a graph that shows the frequency of the variable, where x represents a certain rate of variables and the number of cases at each frequency represents. In very large populations, it is said that the frequency distribution curve resembles the statistical ideal of the bell curve and assumes the properties of normal distribution. The bell curve - also known as normal curve - is aptly named. It resembles a rounded bell with symmetrical ends with tapering down and out towards the zero frequency in the X -axis. The bell curve is intersected by an idealized identical diameter (μ), a median and a regime of all measured data, with half of each graph on both sides. Addistandard statistical formulas can provide a degree on which such assumptions can be relied on. With the ideal bell curve, the population diameter, medium and regime are expected to be the same. Calculation of standard deviation, σ, then provides measuringtko "spread" of the population data. In the ideal curve, all except 0.25 percent of the total population data are found in a plus or minus three standard deviations from the diameter of the frequency distribution curve or between μ-3σ and μ+3σ.

While the ideal bell curve differs from the frequency distribution curve curve in many ways, it allows some supposed understanding of both the sample population and one measurement in the overall sample population. In an ideal curve, 68 percent of the values ​​for a variable measured in the sample and probably in the population within one standard deviation from the diameter in both directions or μ-1σ and μ+1σ. Moving further along the bell curve, values ​​for 95 percent of the sample and the population will be placed in a plus or minus two standard deviations from diameter or μ-2σ and μ+2σ. At the edges of the frequency distribution curve, all except 0.25 percent in Plus or minus three standard deviations. This rareMeasurements that lie in 0.25 percent per measure of three standard deviations are known as remote values ​​and are often removed from data if inference calculations occur.