Given a random variable, x that arises from a binomial experiment and suppose that n = 10, and p = 0.81.
PART A:
The probability distribution for a binomial experiment is given as

where q =1-p
PART B
One way to illustrate the binomial distribution is with a histogram. A histogram shows the possible values of a probability distribution as a series of vertical bars. The height of each bar reflects the probability of each value occurring.
The histogram is given below:
PART C
The shape of the histogram shows it is skewed to the left.
PART D.
The mean of a binomial experiment is given below:

PART E
The variance of a binomial experiment is

PART F
The standard deviation is the square root of the variance.
![\begin{gathered} sd=\sqrt[]{\text{variance}} \\ sd=\sqrt[]{1.539} \\ s\mathrm{}d=1.241 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/s1760fy6kf02jn0o35dk2smzvfyvijurx3.png)