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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.
Incoming water contains 2.5 mg/L as a substance of natural alkalinity (HCO 3 - ). The flow rate is 9.5 ML/day). (a) What feed rate is required if the alum dose is 7 mg/L and
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Q. Explain types of bearings? The bearing transfers the forces coming from the superstructure to the substructure. It also allows for necessary movements in the superstructure
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Calculate the moment of inertia and section modulus (top and bottom of the beam) about the z-axis of the beam cross section of Fig.
The transmission main from the well field to the community is 2500 ft, the velocity of flow at peak pumping capacity is 3.5 fps, water temperature is 10oC, and pH is 7.5. If free c
Storm water flows at a depth of 4 ft in the natural channel as shown in the figure. The channel has a slope of 0.0l ft/ft and n = 0.025. 1. Determine the flow area:
The two plates shown below are each 10-in. wide by ¾- in. thick. The gage distance, g, and the longitudinal spacing on each member is set at 4-in. Determine the axial strength of t
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