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m_a_m_a [10]
3 years ago
11

Pls helpPLSSSSSSSSSS

Mathematics
1 answer:
velikii [3]3 years ago
5 0

Answer: $60.00


Step-by-step explanation: First the solution: (Start form the end!!) $40.00 (the ending total) minus the $10.00 he added on, $40-$10=$30 which is half of the original total so now you have to multiply by two to get the starting balance ($60.00)!

Now for the inequality, since we don't know the beginning balance of the gift card that will be our variable.

g

Then, since he spent half of this buying coffee we would have to split our variable in half.

g/2

After that, Peter added an additional $10.00 to said  gift card.

g/2 + 10 = 40

Going off of that the final inequality would be $60.00 = g/2 + 10 = 40


BAMM!! GOOD LUCK IN MATH CLASS!!!


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Wires manufactured for use in a computer system are specified to have resistances between 0.11 and 0.13 ohms. The actual measure
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Answer:

a) P(0.11

And we can find this probability with this difference and with the normal standard table or excel:

P(-1.11

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And we can use the z score defined by:

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And using the limits we got:

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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".  

Part a

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

X \sim N(0.12,0.009)  

Where \mu=0.12 and \sigma=0.009

We are interested on this probability

P(0.11

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(0.11

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P(-1.11

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And we want this probability:

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And we can use the z score defined by:

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z = \frac{0.13-0.12}{\frac{0.009}{\sqrt{4}}}= 2.22

And we want to find this probability:

P(-2.22< Z

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3 years ago
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