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Sampling Distribution And Approximations Of Distributions:
1) Learnt three approaches for deriving the probability distributions of functions of one or more random variables viz. the methods of cdf pdf and mgf
2) Been introduced to the theoretical primary of special probability distributions in which play significant role in the theory of statistical inference which you will learn in the next Block. These are X2 F and t distribution.
3) Been introduced to the X2, F and t distribution tables.
4) Been prepared for learning statistical inference in which is the subject matter of remaining blocks by introducing to you the concept of random sample, statistic and its sampling distribution.
5) Learnt the importance and use of weak law of large numbers.
6) Learnt the significance of central limit theorem.
7) Learnt to approximate binomial, Hypergeometric, Poisson, distribution through normal distribution with the help of central limit theorem.
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Analyse the continuous beam using moment distribution. A continuous beam ABCDE fixed at A carry a load of 2KN one metre from A at AB 3m. BC 3m, carry a UDL of 3KN/m and hinge at
Define Equipments required for conducting UWMT? Equipments required for conducting UWMT are: Inspection Equipment: a) Electronic yoke with power cable b) Ground fault interr
define and types
EXPLAIN THE STRUCTURE OF EXOGENEOUS TREE WITH DIAGRAM ?
Q. 50 liters per sec of water flow in a horizontal pipeline which is 200m long and the centerline of which is 3 m above the datum line. The pipe tapers from 30 cm diameter to 20 cm
Tension memebers example for a two channel connected to a gusset .find the tensile capacity
Determine the moment of inertia with respect to the x axis for the shaded area shown (Figure 2) . The dimension is a = 2.00m .
moment
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