Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
RANDOM VARIABLE
A variable which assumes different numerical values as a result of random experiments or random occurrences is known as a random variable.
The rainfall measured in centimeters on each day of the monsoon season, the maximum temperature of each day for a city, the number of passengers traveling by train from Delhi to Mumbai everyday and the number of patients seen by a doctor each day are all examples of random variables. That is, the values assumed by these variables on each day would be random and cannot be accurately predicted. The prices of a share in a perfectly efficient market are supposed to follow a random walk in which the current price is totally independent of the price changes occurring in the past. Hence, previous price patterns cannot be used to predict the future prices.
If the random variable can assume any value within a given range, it is called a continuous random variable. On the other hand, if the random variable can assume only a limited number of values, it is called a discrete random variable. In examples cited in the previous para, rainfall and maximum temperature are examples of continuous random variables as they can register a wide variety of values within a given range. For instance, where the temperature is being measured in Celsius, within a range of 29oC to 30oC, the temperature could assume such values as 29.4oC, 29.75oC, 29.87oC. The number of persons traveling from Delhi to Mumbai everyday and the number of patients seen by a doctor each day are examples of discrete random variables as these values could only be whole numbers. You cannot have 353.5 persons traveling or 18.7 patients visiting the doctor.
Assume that the amount of air in a balloon after t hours is specified by V (t ) = t 3 - 6t 2 + 35 Calculate the instantaneous
Binomial Probability Distribution Binomial probability distribution is a set of probabilities for discrete events. Discrete events are those whose outcomes or results can be c
(a) Specify that the sum of the degrees of all vertices of a graph is double the number of edges in the graph. (b) Let G be a non directed gra
Using the definition of the definite integral calculate the following. ∫ 0 2 x 2 + 1dx Solution Firstly,
Following is some more common functions that are "nice enough". Polynomials are nice enough for all x's. If f ( x) = p ( x ) /q (x ) then f(x) will be nice enough provid
Sketch the graphs of the following functions: (A) y = 1/(x 2 +1) (b) x= sin x,
Raghav buys a shop for Rs.1,20,000.He pays half the balance of the amount in cash and agrees to pay the balance in 12 annual instalments of Rs.5000 each. If the rate of interest is
break even analysis problem and solutions
Generate G(1000,1/2) and find the largest clique you can. A clique is a complete sub graph, that is, a set of vertices each pair of which is connected by an edge.
Find the second derivative of the below given equation Y= e x cosx
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +91-977-207-8620
Phone: +91-977-207-8620
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd