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Liono4ka [1.6K]
3 years ago
10

Find the amount of the discount on a 234 item with a discount of 15% weggy

Mathematics
1 answer:
AleksandrR [38]3 years ago
3 0
Original amount = $234

Discount = 15% of $234 = 0.15 x 234 = $35.10

Sale Price = $234 - $35.10 = $198.90

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Answer : Sale Price is $198.90
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Answer:

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Step-by-step explanation:

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Which graph could represent the amount of green beans when selling at a unit rate of G dollars per pound?
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Answer:

  see attached

Step-by-step explanation:

The function that tells you the number of dollars you spend on a given number of pounds creates graphs with the coordinates (pounds, dollars).

If you want 1 pound to correspond to G dollars, then a point on the graph will be ...

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how to use the explicit formula an=a1+(n-1)d to find the 500th term of the sequence 24,30,36,42,48,...
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Look at this sphere:
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The heights of baby giraffe are normally distributed with a mean of 63.6 inches and a standard deviation of 2.5 inches. If 100 b
ANEK [815]

Answer:

P(\bar X

And we can solve this using the following z score formula:

z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And if we use this formula we got:

z = \frac{63-63.6}{\frac{2.5}{\sqrt{100}}}= -2.4

So we can find this probability equivalently like this:

P( Z

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 heights of a population, and for this case we know the distribution for X is given by:

X \sim N(63.6,2.5)  

Where \mu=63.6 and \sigma=2.5

We select n =100. Since the distribution for X is normal then we know that the distribution for the sample mean \bar X is given by:

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

We want this probability:

P(\bar X

And we can solve this using the following z score formula:

z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And if we use this formula we got:

z = \frac{63-63.6}{\frac{2.5}{\sqrt{100}}}= -2.4

So we can find this probability equivalently like this:

P( Z

4 0
4 years ago
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