Suppose the life of a particular brand of calculator battery is approximately normally distributed with a mean of 75 hours and a standard deviation of 10 hours. What is the probability that a single battery randomly selected from the population will have a life?
a) no more than 72 hours
b) at least 77 hours
*what is the probability that 16 randomly sampled batteries from the population will have a sample mean life between 70 and 80 hours?

a)

And we can find this probability using the normal standard table or excel:

b)

And we can find this probability using the complement rule and the normal standard table or excel:

c)

And we can find this probability with this difference:

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the life of a particular brand of a population, and for this case we know the distribution for X is given by:

Where and

Part a

We are interested on this probability

And the best way to solve this problem is using the normal standard distribution and the z score given by:

If we apply this formula to our probability we got this:

And we can find this probability using the normal standard table or excel:

Part b

And we can find this probability using the complement rule and the normal standard table or excel:

Part c

For this case we select a sample size of n =16. and we want this probability:

We know that the distribution for the sample mean is given by:

And we can find the z scores for the limits like this:

And we can find this probability with this difference:

765238725478629038640962136509762139056074

step-by-step explanation:

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