Answer: mean = 8.33, variance =61.11 , standrad deviation = 7.82
Step-by-step explanation:
For geometric distribution,
Mean = [tex]\dfrac1p[/tex]
variance = [tex]\dfrac{1-p}{p^2}[/tex]
Standard deviation[tex]=\sqrt{Variance}[/tex] , where p = probability of success in each trial.
Given: p= 0.12
Mean = [tex]\dfrac1{0.12}=8.33[/tex]
Variance = [tex]\dfrac{1-0.12}{0.12^2}=\dfrac{0.88}{0.0144}=61.11[/tex]
Standard deviation = [tex]\sqrt{61.11}\approx7.82[/tex]
Hence, mean = 8.33, variance =61.11 , standrad deviation = 7.82