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Chance events: According to the Cicero these are events which occurred or will occur in ways which are the uncertain-events which may happen, may not happen, or may happen in some or the other way.
Cicero's classification of such events is close to one dictionary de?nition of chance namely, 'the incalculable element in the existence which renders events unpredictable'. But for Leucippus (the circa 450 B.C.) the operation of possibility was associated with some hidden cause and such a view was held broadly in the middle ages where possibility had no place in the universe, rather all events were thought of as predetermined or fixed by God or by extrinsic causes determined by God. But in 20th century the deterministic view of the universe was overthrown by the successful and flourishing development of quantum mechanics with its central tenet being that it is impossible to predict the exact outcome of an atomic (or the molecular) system and where this uncertainty or doubt is not due to measurement error or experimental clumsiness but is a fundamental feature of the basic physical laws themselves.
Continuous variable : The measurement which is not restricted to the particular values except in so far as this is constrained by the accuracy of measuring instrument. General exam
Histogram is the graphical representation of the set of observations in which class frequencies are represented by the regions of rectangles centred on the class interval. If the f
Probability distribution : For the discrete random variable, a mathematical formula which provides the probability of each value of variable. See, for instance, binomial distributi
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The Null Hypothesis - H0: β0 = 0, H0: β 1 = 0, H0: β 2 = 0, Β i = 0 The Alternative Hypothesis - H1: β0 ≠ 0, H0: β 1 ≠ 0, H0: β 2 ≠ 0, Β i ≠ 0 i =0, 1, 2, 3
Time series : The values of a variable recorded, generally at a regular interval, over the long period of time. The observed movement and fluctuations of several such series are
Institutional surveys are the surveys in which the primary sampling units are the institutions, for instance, hospitals. Within each of the sampled institution, a sample of the pa
A family of the probability distributions of the form given as here θ is the parameter and a, b, c, d are the known functions. It includes the gamma distribution, normal dis
Models which make use of the smoothing techniques such as locally weighted regression to identify and represent the possible non-linear relationships between the explanatory and th
Bayes factor : A summary of evidence for the modelM1 against the another modelM0 provided by the set of data D, which can be used in the model selection. Given by the ratio of post
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