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siniylev [52]
3 years ago
11

Easy points here! I love giving points!

Mathematics
1 answer:
STatiana [176]3 years ago
8 0

here, length (l)= 3 feet

bredth (b)= 2(7/8) feet = 2.875 feet...

now, by formula..

Area = l × b

= 3 × 2.875

= 8.625 ft^2 ans......

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I need help with this step by step
damaskus [11]
0.3x ≥ 0.6
Divide both sides by 0.3,
0.3x / 0.3 ≥ 0.6/0.3
x ≥ 2

So, your final answer is x ≥ 2

Hope this helps!
6 0
3 years ago
51 is approximately equal to<br> A<br> 7<br> B<br> 5.1<br> с<br> 6<br> D<br> 60
il63 [147K]

Answer:

  • 5.1 for my answer

Step-by-step explanation:

because is not equal

7 0
3 years ago
How do I turn mix numbers into Improper fraction
Daniel [21]
You multiply the whole number and the <span>denominator ( the bottom number in the fraction) and then add the answer of that to the numerator. Hope that helps! :) </span>
4 0
3 years ago
Read 2 more answers
Suppose the life of a particular brand of calculator battery is approximately normally distributed with a mean of 75 hours and a
shepuryov [24]

Answer:

a) P(X

And we can find this probability using the normal standard table or excel:

P(z

b) P(X>77)=P(\frac{X-\mu}{\sigma}>\frac{77-\mu}{\sigma})=P(Z>\frac{77-75}{10})=P(z>0.2)

And we can find this probability using the complement rule and the normal standard table or excel:

P(z>0.2)=1-P(Z

c) z = \frac{70-75}{\frac{10}{\sqrt{16}}}= -2

z = \frac{80-75}{\frac{10}{\sqrt{16}}}= 2

And we can find this probability with this difference:

P(-2

Step-by-step explanation:

Previous concepts

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".  

Solution to the problem

Let X the random variable that represent the life of a particular brand of a population, and for this case we know the distribution for X is given by:

X \sim N(75,10)  

Where \mu=75 and \sigma=10

Part a

We are interested on this probability

P(X

And the best way to solve this problem is using the normal standard distribution and the z score given by:

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

If we apply this formula to our probability we got this:

P(X

And we can find this probability using the normal standard table or excel:

P(z

Part b

P(X>77)=P(\frac{X-\mu}{\sigma}>\frac{77-\mu}{\sigma})=P(Z>\frac{77-75}{10})=P(z>0.2)

And we can find this probability using the complement rule and the normal standard table or excel:

P(z>0.2)=1-P(Z

Part c

For this case we select a sample size of n =16. and we want this probability:

P(70 < \bar X

We know that the distribution for the sample mean \bar X is given by:

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

And we can find the z scores for the limits like this:

z = \frac{70-75}{\frac{10}{\sqrt{16}}}= -2

z = \frac{80-75}{\frac{10}{\sqrt{16}}}= 2

And we can find this probability with this difference:

P(-2

6 0
4 years ago
A crate contains 100,000 sheets of paper.
o-na [289]

Answer:

3.571 g

Step-by-step explanation:

357,100 / 100,000 = 3.571

6 0
3 years ago
Read 2 more answers
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