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Leni [432]
3 years ago
7

ASAP Please help me!!!!!!!!!!!!!!!!!!!!!!

Mathematics
1 answer:
wariber [46]3 years ago
7 0

Answer:

Step-by-step explanation:

I am so sorry, but I actually don’t know how to do that. What grade is this? Dang it this is really hard.

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A table decreased in price by . After the reduction it was priced at £13. What was the original
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Answer: 19 or 20 $

Step-by-step explanation:

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The median of 6 numbers is 10, the mode is 8, the range is 8 and all numbers are even. Find the
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Answer:

√2

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3 years ago
3(K + 1) + 5k = -1 +5(k-1)<br>- 35​
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3(k + 1) + 5k = -1 +5(k-1) - 35​

3k+3+5k= -1+5k-5-35

3k-5k+5k= -1-5-3-35

3k=-44

k= -14.6

6 0
3 years ago
Emily and her friends bought 100 seashells in all. What was the total cost of all of the seashells?
Black_prince [1.1K]
Need more info to answer is but it’s just 100 times the cost of one shell
6 0
3 years ago
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
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