binomial
Consider a binomial (a+b). The cube of the binomial is given as =(a+b)3 =a3 + 3a2b + 3ab2 + b3.
To calculate the cube of a binomial, you can multiply the binomial with itself first (to get the square), then multiply the square with the original binomial (to get the cube). Since cubing a binomial is quite common, you can also use the formula: (a+b)3 = a3 + 3a2b + 3ab2 + b3 ... replacing "a" and "b" by the parts of your binomial, and doing the calculations (raising to the third power, for example).
Binomial is a non- parametric test. Since this binomial test of significance does not involve any parameter and therefore is non parametric in nature, the assumption that is made about the distribution in the parametric test is therefore not assumed in the binomial test of significance. In the binomial test of significance, it is assumed that the sample that has been drawn from some population is done by the process of random sampling. The sample on which the binomial test of significance is conducted by the researcher is therefore a random sample.
There are 2 terms in a binomial. You can be sure of this because the word "bi" means 2, just the same as the word "tri" (like in the term trinomial) means 3. A binomial is a polynomial which is a sum of 2 terms.
universal binomial raised to power n means the is multiplied to itself n number of times and its expansion is given by binomial theorem
Multiply each term of the binomial by the monomial. Be particularly careful with signs: (+ times +) or (- times -) equals plus or Like signs = + (+ times -) or (- times +) equals minus or Unlike signs = -
Binomial. Binomial. Binomial. Binomial.
The mean of a binomial probability distribution can be determined by multiplying the sample size times the probability of success.
n(p)(1-p) n times p times one minus p, where n is the number of outcomes in the binomial distribution, and p is the probability of a success.
Yes.
binomial
The answer depends on the binomial.
If you chew
You distribute the binomial.
no
First i will explain the binomial expansion