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!
Binomial Distribution
Binomial distribution was discovered by swiss mathematician James Bernonulli, so this distribution is called as Bernoulli distribution also, this is a discrete frequency distribution.
Assumptions of a binomial Distribution
1. The random experiment is performed repeatedly with a fixed and finite number of trials. N is denoted by number of trials.
2. There are two mutually exclusive possible outcomes on each trial which are known as success and failure success is denoted by whereas failure is denoted by q, and p+q = 1 or q=1-p1.
3. The outcomes of any given trial does not affect the outcomes on subsequent trials means the trials are independent.
4. The probability of success and failure (p&q) remains constant from trial to trial. If in any distribution the p& q does not remain constant that distribution cannot be a binomial distribution, For example the probability of getting head must remain the same in each toss i.e. ½ similarly the probability of drawing 4 balls from a bag containing 6 red and 10 white balls does not change in successive draws with replacement, hence it will be called as binomial distribution .But in contrary to this, if balls are not replaced after each trail then it will not be a binomial distribution.
5. If all above assumptions are satisfied , the probability of exactly r successes in n trials is given by
6. P(n=r)=n crprqn-r
Show that the ISB in a bin containing the origin of the double exponen-tial density, f(x) = exp(-|x|)/2, is O(h 3 ); hence, the discontinuity in the derivative of f does not have a
Rank Correlation Sometimes the characteristics whose possible correlation is being investigated, cannot be measured but individuals can only be ranked on the basis of the chara
Factor analysis (FA) explains variability among observed random variables in terms of fewer unobserved random variables called factors. The observed variables are expressed in
Range Official Exports Target 2000-2001 Product ($ million) Plantation 500 Agriculture and Alli
The investor has constant wealth 1 and is o?ered to invest in shares of a project that either gains 3=2 or loses 1 with equal probabilities. Therefore, if the investor obtains sha
Example of discrete random variable: 1. What is a discrete random variable? Give three examples from the field of business. 2. Of 1000 items produced in a day at XYZ Manufa
Admissibility A very common concept which is applicable to any procedure of the statistical inference. The underlying notion is that the procedure/method is admissible if and o
(a) The Horton's initial infiltration capacity for a catchment is 204 mm/h and the constant infiltration value at saturation is 60 mm/h. For a rainfall in excess of 204 mm/h mainta
Type of Variable in Regression Analysis There are two types of variable in regression analysis. These are: a. Dependent variable b. Independent variable
Regression Lines It has already been discussed that there are two regression lines and they show mutual relationship between two variable . The regression line Yon X gives th
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