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Oksanka [162]
1 year ago
8

3. Blackberry is also in the business of selling phones. The data for the profit that Blackberry makes on selling tablets is rep

resented by the following equation with profit being P(b) and b being number of blackberry phones sold (both variables in millions):
P(b) = -x2 + 8x – 8

a. Use the quadratic formula to solve the equation. What do these points tell us about the graph?




b. Complete the following table. Based on the table, estimate the vertex for the function. Is the vertex a max. or a min. point?



Blackberry: Profit from Smart Phones Sold

Smart Phones sold (in millions) b Profit (in millions of dollars) P(b)
-1
0
2 4
3
4
5 7
6


c. Sketch a graph for Blackberry. Label the x and y axis (for b and P(b))

Mathematics
1 answer:
vesna_86 [32]1 year ago
8 0

Here is my answer. I left the latter question in a. as I don't actually know the answer. Anyway, I hope this is helpful although not complete.

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Answer:

The blood potassium level L such that the probability is only 0.05 that the average of four measurements is less than L is 3.64.

Step-by-step explanation:

To solve this question, we have to understand the normal probability distribution and the central limit theorem.

Normal probability distribution:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

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The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central limit theorem:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, the sample means of size n can be approximated to a normal distribution with mean \mu and standard deviation, which is also called standard error s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 3.8, \sigma = 0.2, n = 4, s = \frac{0.2}{\sqrt{4}} = 0.1

What is the blood potassium level L such that the probability is only 0.05 that the average of four measurements is less than L?

This is the value of X when Z has a pvalue of 0.05. So it is X when Z = -1.645.

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

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

-1.645 = \frac{X - 3.8}{0.1}

X - 3.8 = -1.645*0.1

X = 3.64

The blood potassium level L such that the probability is only 0.05 that the average of four measurements is less than L is 3.64.

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