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postnew [5]
3 years ago
14

Anyone now how to do this problem I'm lost on it? Please

Mathematics
1 answer:
Delicious77 [7]3 years ago
8 0
The profit function P(x) is a parabola.

To find the maximum profit, you need the vertex of the parabola.

The vertex can be found using the formula x = \frac{-b}{2a}

where a = -.001 , b = 3,  c = -1800

x = \frac{-3}{2(-.001)} = 1500

Part a) Profit is maximized when x = 1500.

To find Profit, plug 'x' into profit function.
P_{max} = -.001(1500)^2 + 3(1500) - 1800 = 450

Part b)  Daily max Profit is $450

Next to find the break even point, when profit = 0.

Set profit function equal to 0 and solve for 'x'.

This is a quadratic equation, so use the quadratic formula.

x = \frac{-b \pm \sqrt{b^2 -4ac}}{2a}  \\  \\ x  = \frac{-3 \pm \sqrt{9 - 4(-.001)(-1800)}}{2(-.001)} \\  \\ x = 829.18 , 2170.82

Finally, the avg rate of change is simply the slope of the line between 2 points on the parabola.  Use slope formula.

= \frac{P(2100) - P(1200)}{2100 - 1200} = \frac{90 - 360}{2100-1200} = \frac{-270}{900} = -\frac{3}{10}

Part d)  Avg rate of change = -3/10
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Read 2 more answers
The average demand for rental skis on winter Saturdays at a particular area is 150 pairs, which has been quite stable over time.
pentagon [3]

Answer:

a) 15.87% probability that demand will exceed this supply on any winter Saturday

b) The shop needs to have 197 pairs of skis in stock.

Step-by-step explanation:

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:

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

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.

In this problem, we have that:

\mu = 150, \sigma = 20

(a) The rental shop stocks 170 pairs of skis. What is the probability that demand will exceed this supply on any winter Saturday?

This probability is 1 subtracted by the pvalue of Z when X = 150. So

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

Z = \frac{170 - 150}{20}

Z = 1

Z = 1 has a pvalue of 0.8413

1 - 0.8413 = 0.1587

15.87% probability that demand will exceed this supply on any winter Saturday

(b) How many pairs of skis in stock does the shop have to have to make the probability in question (a) less than .01?

This is X when Z has a pvalue of 0.99.

So X when Z = 2.33

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

2.33 = \frac{X - 150}{20}

X - 150 = 2.33*20

X = 196.6

Rounding up, since the number of pairs is a discrete number

The shop needs to have 197 pairs of skis in stock.

6 0
3 years ago
Which two of the following are assumptions made when using a two sample test of means with equal standard deviations?
valina [46]

When using a two sample test of means with equal standard deviations, then T distribution is the best option for it.

Sample test:

Sample test refers a method of reaching a conclusion to reject or support the claims based on sample data.

Given,

Here we need to identify in which  of the following are assumptions made when using a two sample test of means with equal standard deviations.

While we looking into the options for this one, then we have identified that, the sampling distribution of the difference of means is a T distribution.

So, the populations have equal but unknown standard deviation's.

Therefore, we "pool" the sample standard deviation.

To know more about Sample test here.

brainly.com/question/13201390

#SPJ4

4 0
1 year ago
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