Answer:
Mean = 8.25
Variance = 3.7125
Standard deviation = 1.927
Step-by-step explanation:
Let the probability of X be p.
Then [tex]p=55\% = 0.55[/tex]
It follows that X is a binomial random variable.
For a binomial distribution, for n samples,
Mean, [tex]\mu = np[/tex]
Variance, [tex]\sigma^2 = np(1-p)[/tex]
Standard deviation, [tex]\sigma =\sqrt{np(1-p)}[/tex]
Using values in the question, n = 15
Mean = [tex]\mu = 15\times0.55 = 8.25[/tex]
Variance = [tex]\sigma^2 = 15\times0.55\times(1-0.55) = 15\times0.55\times0.45 = 3.7125[/tex]
Standard deviation = [tex]\sigma =\sqrt{3.7125} = 1.927[/tex]