Hello. So I have been trying to solve this problem on my statistics course and I'm having a lot of trouble:

"In BME Bioinstrumentation lab, each student is given one transistor

to use during one experiment. The probability a student destroys a

transistor during this experiment is 0.7. Let random variable X equal the

number of destroyed transistors. In a class of five students, determine:

a)E[X]

b)var[X]

c)E[X|X<4]

d)var[X|X<4]"

This would have been a very easy problem for me, if only I had been provided with a data set. So far I managed to obtain the expectation, since in this case it's just E[X]=0.7*5=3.5 . But i got stuck in the second part. I know that var[X]=E[(X-E[X])^2], that is, the average square distance from the random variable to the mean. But if I don't know the values of X, I can't subtract the mean from them. So I'm totally lost at this. I think that if I can solve this part I will be able to do the rest of the problem on my own. Could anyone give me a hint? Thanks

Edit: I have the numerical solutions for the problem which were provided by my teacher, so I know that the results are a)3.5 b)1.05 c)2.584 and d)0.394

Edit2: I figured out that I can make use of the property E[(X-E[X])^2]=E[X^2]-(E[X])^2.

Edit3: So probably a good way of doing this might be actually calculating the probabilities for X=1, X=2 and so on. Am I on the right path?

"In BME Bioinstrumentation lab, each student is given one transistor

to use during one experiment. The probability a student destroys a

transistor during this experiment is 0.7. Let random variable X equal the

number of destroyed transistors. In a class of five students, determine:

a)E[X]

b)var[X]

c)E[X|X<4]

d)var[X|X<4]"

This would have been a very easy problem for me, if only I had been provided with a data set. So far I managed to obtain the expectation, since in this case it's just E[X]=0.7*5=3.5 . But i got stuck in the second part. I know that var[X]=E[(X-E[X])^2], that is, the average square distance from the random variable to the mean. But if I don't know the values of X, I can't subtract the mean from them. So I'm totally lost at this. I think that if I can solve this part I will be able to do the rest of the problem on my own. Could anyone give me a hint? Thanks

Edit: I have the numerical solutions for the problem which were provided by my teacher, so I know that the results are a)3.5 b)1.05 c)2.584 and d)0.394

Edit2: I figured out that I can make use of the property E[(X-E[X])^2]=E[X^2]-(E[X])^2.

Edit3: So probably a good way of doing this might be actually calculating the probabilities for X=1, X=2 and so on. Am I on the right path?

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