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
Construct your initial multivariate model by selecting a dependent variable Y and two independent variables X. Clearly define what each variable represents and how this relates t
The file Midterm Data.xls has a tab labeled "National Grid vs. Alcoa" which presents historical price data for two stocks. Using the National Grid price as the X-value and the Al
The Null Hypothesis - H0: The random errors will be normally distributed The Alternative Hypothesis - H1: The random errors are not normally distributed Reject H0: when P-v
Why are graphs and tables useful when examining data? A researcher is comparing two middle school 7th grade classes. One class at one school has participated in an arts program
Now, let's look at a different linear combination. Suppose we are interested n comparing the average mean log income for no college education ( 16). 1. Write out the linear com
Multivariate analysis involves a set of techniques to analyse data sets on more than one variable. Many of these techniques are modern and often involve quite sophisticated use of
Root Mean Square Deviation The standard deviation is also called the ROOT MEAN SQUARE DEVIATION. This is because it is the ROOT (Step 4) of the MEAN (Step 3) o
Ask questiovdgngddndgdngngngngn #Minimum 100 words accepted#
A. Do the correlation matrix table. B. Which variable (s) has the largest correlation coeffieient which is not a perfect correlation? C. Which variable (s) has the s
"index number is an economic barometer" comment on this statement
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