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I'm very confused why the z-score of this would be .5 and thus using the normal distribution table why this would come out to be .6145.
if X is a random variable of # tickets bought per student. mean = 2.4 and std dev = 2.0. And then if we just make a new random variable that is supposed to represent 100 students. Then this new random variable 100*X would just have mean = 240 and std dev of 200 correct? And thus calculating the Z score we would get .05 and a probability of .5199. What am I missing here?
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Day 4: The Central Limit Theorem #2
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I'm very confused why the z-score of this would be .5 and thus using the normal distribution table why this would come out to be .6145.
if X is a random variable of # tickets bought per student. mean = 2.4 and std dev = 2.0. And then if we just make a new random variable that is supposed to represent 100 students. Then this new random variable 100*X would just have mean = 240 and std dev of 200 correct? And thus calculating the Z score we would get .05 and a probability of .5199. What am I missing here?