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Kaylis [27]
3 years ago
6

35, 32, 29, 26 find common difference

Mathematics
2 answers:
rjkz [21]3 years ago
5 0
Constant decrease of 3
Art [367]3 years ago
4 0
Common difference is 3
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A statistics practitioner determined that the mean and stan-dard deviation of a data set were 90 and 15, respectively. What can
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Answer:

If the distribution is bell shaped we can approximate the probability with high accuracy using the z score formula.

a) P(75

And for this case we can use the z score given by:

z = \frac{X-\mu}{\sigma}

And if we use it we got:

P(75

b) P(60

And for this case we can use the z score given by:

z = \frac{X-\mu}{\sigma}

And if we use it we got:

P(60

c) P(45

And for this case we can use the z score given by:

z = \frac{X-\mu}{\sigma}

And if we use it we got:

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If the distribution is NOT bell shaped the approximation with the z score NOT works and we need to have the distribution for X in order to find the probabilities.

Step-by-step explanation:

Previous concepts

If the distribution is bell shaped we can approximate the probability with high accuracy using the z score formula.

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".  

Part a

Let X the random variable of interest

We assume for this case that \mu=90 and \sigma=15

We are interested on this probability

P(75

And for this case we can use the z score given by:

z = \frac{X-\mu}{\sigma}

And if we use it we got:

P(75

Part b

P(60

And for this case we can use the z score given by:

z = \frac{X-\mu}{\sigma}

And if we use it we got:

P(60

Part c

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And for this case we can use the z score given by:

z = \frac{X-\mu}{\sigma}

And if we use it we got:

P(45

If the distribution is NOT bell shaped the approximation with the z score NOT works and we need to have the distribution for X in order to find the probabilities.

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