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shepuryov [24]
4 years ago
14

Express this number in scientific notation 9 ten thousandths

Mathematics
2 answers:
brilliants [131]4 years ago
8 0

Answer:0.0009

Step-by-step explanation:  9 x 10^-4

Damm [24]4 years ago
7 0

Answer:

9x10^-4

Step-by-step explanation:

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Use function notation to represent the area of a circle whose circumference is 148cm
ANTONII [103]
148^²/4pi
=1742.83

2 pi r=148
r=148/2pi
Now
Area=pi r^²
Pi×(148)^²/4pi^²
=148^²/4pi


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3 years ago
Store A uses the newsvendor model to manage its inventory. Demand for its product is normally distributed with a mean of 500 and
ra1l [238]

Answer:

P(X

Step-by-step explanation:

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".  

Let X the random variable that represent the Demand for its product on this case, and for this case we know the distribution for X is given by:  

X \sim N(\mu=500,\sigma=300)  

And let \bar X represent the sample mean, the distribution for the sample mean is given by:  

\bar X \sim N(\mu,\frac{\sigma}{\sqrt{n}})

What is its in-stock probability if Store A’s order quantity is 800 units?

We are looking for this probability:

What is its in-stock probability if Store A’s order quantity is 800 units?

So we can find the following values:

P(X>800) and P(X

Sor this problem we can use the z score formula given by:

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

If we find the z score for the value 800 we got:

z=\frac{800-500}{300}=1

And if we find:

P(X

And by the complement rule:

P(X>800)=1-P(X

6 0
3 years ago
(19 points) please please help me thanks
yawa3891 [41]

Answer:

1.335 Kilograms

Step-by-step explanation:

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Answer:

24 practices in 9 weeks

Step-by-step explanation:

Rate =   8 times / 3 weeks

8 times / 3 weeks    *   9 weeks  = 24 times

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