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binomial distributionbinomial distribution was discovered by swiss mathematician james bernonulli so this distribution is called as bernoulli
bernoullis theoremif a trial of an experiment can result in success with probability p and failure with probability q ie1-p the probability of
importance and application of probabilityimportance of probability theory is in all those areas where event are not certain to take place as
origin and development of probability theorythe credit for origin and development of probability goes to the european gamblers of 17th century
cartogram or mapograph statistical maps are also used to represent data like density of population indifferent states in the country or different
regression coefficientwhile analysing regression in two related series we calculate their regression coefficients also there are two regression
regression linesit has already been discussed that there are two regression lines and they show mutual relationship between two variable the
linear regressiongenerally in two mutually related statistical series the regression analysis based on graphic method under graphic method the
difference between correlation and regression analysis1degree and nature of relationship coefficient of correlation measures the
type of variable in regression analysisthere are two types of variable in regression analysis these area dependent variable
meaning and definitions of regressionthe dictionary meaning of regression is just opposite the meaning of progression progression means to move
type of correlation1 positive and negative correlation2 simple partial and multiple
definition of correlationaccording to prof king correlation means that between two series or group of data there exists some
characteristics of index number on the analysis of various definitions of index number the following may be its
index numbermeaning and definitions of index numberthe index numbers are the special type of averages which are presented in percentages and computed
skewnessmeaning and definition literal meaning of skewness is lack of symmetry it is a numerical measure which reveals asymmetry of a statistical
definition of central tendencythe central tendency of a variable means a typical value around which other values tend to concentrate which can be
arithmetic average or meanthe arithmetic mean is the most widely and the most generally understandable of all the averages this is clear from the
medianmedian is a position average it is the value of middle item of a variable when the items are arranged according to their values either in
modemode is the value of the observation which occurs with the greatest frequency and thus it is the most fashionable value mode has
geometric meanthe geometric mean of numbers is defined as the th root of the product of numbers it is obtained by multiplying all the values
harmonic mean the harmonic mean also called harmonic average in the total numbers of items of variable divided by the sum of r reciprocals
first moment of dispersion or mean deviationmean deviation or the average deviation is the measure if dispersion which is based upon all the
standard deviation the concept of standard deviation was first introduced by karl pearson in 1893 the standard deviation is the most important and
coefficient of variation or cvto compare the variability between or more series coeffiecnt of variation is used it is relative measure of dispersion