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Probability sampling method   There are available most important probability sampling method is given bellow, Simple random sampling Systematic sampling Stratified sampling Cluster sampling Simple random sampling When the population size is very small in this case simple random sampling is very effective.  it is a simplest method of sampling for small population. Simple random sampling method implies that each of the element of population have an equal chance of selecting as a sample. Just consider you are going to select n sample size from a population of N elements. If you do not consider any properties of the sample what you should select, then there have equal chance of each elements of the population of being selected. Systematic sampling Systematic sampling method is a method of sampling design that perform by selecting of sample or elements after a certain interval depending on a sampling ratio. The basic difference and advantage of systematic sampling f

Introduction of probability The conception of probability mathematics is emerged in real world due to uncertainty. In real life peoples found a great range of uncertainty ab out any outcome. The uncertainty exists in all of the field surrounding us. Uncertainty, exists in physics, mathematics, chemistry, economics, social science as well as in contest of cosmos. If we sure about any consequence of happening, it may not happen at all. That is uncertainty. The uncertainty of real world leads to emergence of probability mathematics. Probability Simply, probability means the chance of occuring of any consequence. If you toss a coin there have a two chance of happening of two consequence. Either, result of coin tossing may be head or tail. What should be happening of head in coin tossing. The probability of happening of head is half and probability of happening of tail is half. Some basic concepts of probability Experiment The term experiment is doing something and no need i

Quantiles Quantiles is a most important measure of central tendency which is involved in the positional measure of non central position. Quartiles, deciles and percentiles are such types of quantiles that measures the non central position of the observed data.  Quartiles Quartiles divide the total data into four equal parts. In order to divide a bulk size of data into four equal parts there need three point. Three point equal distance from each other can equally divide any distribution into four equal parts. Deciles Deciles are such types of quantiles of central tendency that divides the total distribution of the data into ten equal parts. Percentiles Percentiles are the values that divide the distribution into hundred of equal parts.

Central tendency  The term central tendency is highest level of authenticity in mathematics, statistics, physics, chemistry, economics, even in all of the field of study and investigation. Hence, the conceptation of central tendency should clearly understand. The general understanding of central tendency is look the principle insight on the central core theme. The measurement of central value of something gives an inference about the complete and entire themes.  Just look at an example, If you know the mass of nucleus of the atom, you have known the entire mass of the atom. How the earth attracting some objects toward itself in what of the force there  need a measurement of attraction of the central point of the objects to the earths central point. The total income of households of Chicago is possible to measure in  billions of amount. Here, different people have different income. It is very hard to say about any specific peoples income. But, it is possible to make a cl

Statistics In two context statistics can be difined. One is in singular sense of statistics and another is the plural sense of statistics. Both of the two cotext and aspects of statistics is important in different mathematical analysis. Statistics as plural sense In a plural sense of statistics is describing something in a neumerical value. Just think about you are trying to making a segmentation of a population of a certain area on the basis of gender. The first step of the statistical analysis of your work will be measuring a numerical value of the number of male and female people in this area. Singular sense Statistical method is important in order to do an effective statistical process. If the numerical statistical data is very large then it is important to introduce an effective way and a systematic method to collect, organise, present, analyse and interpretation of the statistical data. Phase of statistical investigation The phases of statistical inves