Astudy found out that 1% of social security recipients are too young to vote. if 800 social security recipients are randomly selected, find the mean, variance and standard deviation of the number of recipients who are too young to vote

Mean :

Variance :

Standard deviation =  

Step-by-step explanation:

We know that , in Binary Distribution having parameters p (probability of getting success in each trial) and n (Total number trials) , the mean and variance is given by:-

Mean :

Variance :

We are given that ,

Total social security recipients  : n=800

The probability of social security recipients are too young to vote : p=1%= 0.01

Here success is getting social security recipients are too young to vote .

Then, the mean, variance and standard deviation of the number of recipients who are too young to vote will be :-

Mean :

Variance :

Standard deviation =  

Hence, the mean, variance and standard deviation of the number of recipients who are too young to vote :

Mean :

Variance :

Standard deviation =  

i think it might be a but you might want a second opinion

sinn is the total amount of students now and m were the students before, you subtract them both (n-m) and divide that by m. then, since to get a percentage from a fraction you have to multiply by 100, your answer should look like this: n-m/m*100

step-by-step explanation: