Respuesta :
Answer:
a.[tex]\mu=15[/tex]
b.[tex]\mu=7.8586 \ and \ \mu=22.1414[/tex]
c. Choice A- Based on limits above, it is unlikely that we would see x = 45, so it might be possible that the trials are not independent.
Step-by-step explanation:
a.Binomial distribution is defined by the expression
[tex]P(X=k)=C_k^n.p^k.(1-p)^{n-k}[/tex]
Let n be the number of trials,[tex]n=100[/tex]
and p be the probability of success,[tex]p=15\%[/tex]
The mean of a binomial distribution is the probability x sample size.
[tex]\mu=np=100\times0.15=15[/tex]
b.Limits within which p is approximately 95%
sd of a binomial distribution is given as:[tex]\sigma=\sqrt npq\\q=1-p[/tex]
Therefore, [tex]\sigma=\sqrt(100\times0.015\times0.85)=3.5707[/tex]
Use the empirical rule to find the limits. From the rule, approximately 95% of the observations are within to standard deviations from mean.
[tex]sd_1=>\mu-2\sigma=15-2\times3.3507=7.8586\\sd_2=>\mu-2\sigma=15+2\times3.3507=22.1414[/tex]
Hence, approximately 95% of the observations are within 7.8586 and 22.1414 (areas of infestation).
c. [tex]x=45[/tex] is not within the limits in b above (7.8586,22.1414). X=45 appears to be a large area of infestation. A.Based on limits above, it is unlikely that we would see x = 45, so it might be possible that the trials are not independent.