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NISA [10]
3 years ago
14

How do i solve this?

Mathematics
1 answer:
Marizza181 [45]3 years ago
6 0

Answer:

Step-by-step explanation:

5x10x8 / 26400 = 0.00909090909

/ means divide

hope it helps

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A certain company sells and ships bulk dried foods using the following pricing scheme. They charge $3 per pound for the first 10
kotegsom [21]
F(x) as a piecewise function would be:


f(x) = ($3/lb)x, for 0≤x≤10,
      = ($1.50/lb)x, for (10,20], and
      = ($0.50/lb)x, for (20,40]
       To the above must be added $7.50, [0,10] or $12, (10,40]
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Can someone answer this w²+7w-18
EleoNora [17]

Answer:

Using the "AC Method" I got (w - 2) (w + 9)

Step-by-step explanation:

5 0
3 years ago
Read 2 more answers
It would be really nice if you guys could help me out with this
faust18 [17]

Answer:

times 2

Step-by-step explanation:

2×2=4

-7×2=-14

which is why the scale factor is times 2

7 0
3 years ago
What expression is equivalent to 8x + 5x​
krok68 [10]

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Step-by-step explanation:

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5 0
3 years ago
A consumer products company is formulating a new shampoo and is interested in foam height (in millimeters). Foam height is appro
Pavel [41]

Answer:

The answers to the questions are

(a) P = 0.0176

(b)  P = 0.5

(c)  P = 0.0571

Step-by-step explanation:

The P value is the calculated probability of obtaining extreme reults which are as extreme as observed res ult when the study null hypothesis H₀ is true

The p value is given by

P (\overline{\rm x} = 185 when μ = 175)

z =  \frac{ \overline { \rm x} -\mu}{\sigma /\sqrt{n} }

z(\overline { \rm x} = 185)  = \frac{ 185 -175}{20/\sqrt{10} } = 1.5811

Therefore the P (\overline{\rm x} = 185 when μ = 175) =  P(z = 1.5811)  

    0.94295

The probability density function is

f(x) = \frac{1}{\sigma\sqrt{2\pi } } e^{-\frac{1}{2}(\frac{x-\mu}{\sigma} )^2 } Therefore the probability is

f(x) = \frac{1}{20\sqrt{2\pi } } e^{-\frac{1}{2}(\frac{185-175}{20} )^2 } = 0.0176  

b) The type II error is given by

β = P(type II error) = P(Fail to reject the null hypothesis when it is false)

Therefore

β = P (\overline { \rm x} < 185 when μ = 185)

P(\frac{ \overline { \rm x} -\mu}{\sigma /\sqrt{n} }, which gives

P(z<0) and β = 0.5

(c) For true mean foam height of 195 mm we have

β = P (\overline { \rm x} < 185 when μ = 195)

and P(\frac{ \overline { \rm x} -\mu}{\sigma /\sqrt{n} }

Which gives P(z < -1.58)

From z table the probability is       β = 0.0571

3 0
3 years ago
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