Answer:
Following are the solution to this question:
Step-by-step explanation:
In point a:
Consider Binomial ecxperiment for performance probability, p = 0.70.
Therefore, the chance of fail q = 0.30 (1 - 0.70)
N = 9 Sample size
The Binomial likelihood for each success amount could be found using the Excel function BINOMDSIT (x,n,p,0):



To obtain the necessary Histograms, use X values as just an input X range as well as the probability value values as an output Y range in Excel table in attachment please find it.
In point b:
They recognize that its mean and standard variance of its binomial experiment was,




The average is 6.3, so the expected number of friends to whom addresses were found is 6.
In point c:
They must establish the value of n in addition to have
This assertion of probability is replaceable as:


It can be found with the Excel Aim Search feature They must therefore apply approximately 5 identities to be 97% confident that two addresses are found at least.