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Statistics study consist on topics like estimates, estimator, F distribution, sampling, multiplication theorems, probability, random variable, T distribution, geometric probability distribution, marginal probability, skewness, symmetrical distribution and transformation. This lecture note includes: Pie, Chart, Circle, Statistical, Inference, Estimate, prediction, Generalization, Population, Arrangement, Order, Scale, Ordinal
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Pie Chart : Pie Chart consists of a circle which is divided into two or more mars inaccordance with the number of distinct classes that we have in our data.StatisticalInference :Statistical Inference is an estimate or prediction or some othergeneralization about a Population based on information contained in asample.Statistics : Statistics is that science which enables to draw conclustions about variousphenomena one the basis of real data collected on sample basis.Sample : Sample is that part of the Population from which information is collected.What ismeant byorder?. :
Order: Arrangement of objects in ascending or descending way is knownas order.Population: The collection of all individuals,items or data under consideration instatistical study is called Population.NominalScale :The classification or grouping of observatoins into mutually exclusivequalitative categories is said to constitute a nominal scale e.g students areclassified as male and female.OrdinalScale :It includes the characteristic of a nominal scale and in addition has theproperty of ordering or ranking of measurments e.g the performance ofstudents can be rated as excellent,good or poor.IntervalScale :A measurment scale possessing a constant interval size but not true zeropoint is called an Interval Scale.Ratio Scale
Chebshev's Theorem states that "For any number K greater than one atleast 1-1/k2 of the data values fall with in K standard deviations of themean i.e. within the interval.Moments : Moments are the arithmetic means of the powers to which the deviationsare raised.Kurtosis : kurtosis is the degree of peakness of a distribution usually taken relativeto a normal distribution.Correlation: Correlation is a measure of the strength or the degree of relationshipbetween two random variables. OR Interdependence of two variables iscalled correlation.VennDiagram :A diagram that is understood to represent sets by circular regions, parts ofcircular regions or their complements with respect to a rectanglerepresenting the space S is called a Venn diagram. The Venn diagramsare used to represent sets and subsets in a pictorial way and to verify therelationship among sets and subsets.MutuallyExclusive