Uses of binomial distribution
Conditions for the applicability of binomial distribution
Obtaining coefficients of the binomial
Properties of the binomial distribution
Assumption of binomial distribution
Uses of binomial distribution
Conditions for the applicability of binomial distribution
Obtaining coefficients of the binomial
Properties of the binomial distribution
Assumption of binomial distribution
A binomial random variable is the number of successes x in n repeated trials of a binomial experiment. The probability distribution of a binomial random variable is called a binomial distribution. Suppose we flip a coin two times and count the number of heads (successes).
A binomial random variable is the number of successes x in n repeated trials of a binomial experiment. The probability distribution of a binomial random variable is called a binomial distribution. Suppose we flip a coin two times and count the number of heads (successes).
2. When dividing x101+ x+ 1 by x2 + 1, look for a pattern. X99 -x97 + x95-x93… x2+ 1 x101+ 0x100+0x99 … + x+1 -x101 –x100 -x99 + 0x99 +x99 + x97 +x97 +0x98 -x97 - x95 -x95…
3. The exponents of the answer are decreasing by two and switching signs every term. If you bring the pattern all the way down to terms that can work with the x + 1 in the dividend, you end up with… x3–x. Taking this end of the answer, you can apply it to the end of the dividend. By using the opposite of x3 –x, you work backwards in the division like so…
