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Alchen [17]
3 years ago
5

2.5 quarters weigh approximately 1 ounce. How many pounds would you expect a

Mathematics
1 answer:
vichka [17]3 years ago
4 0

Answer:

1.5 pounds

Step-by-step explanation:

$15=60 quarters

2.5x16 = 40 quarters per pound

60/40 = 1.5 pounds

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Percent error that is greater than 20% but less than 50%
NNADVOKAT [17]

Answer:

30 40 percent

Step-by-step explanation:

it is less that 50

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3 years ago
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Sara owns a paint shop that makes custom paints. To make one gallon of a specialty color, she needs 4 royal blue units that each
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I think the answer is 1.97 hope it helps you
6 0
3 years ago
Jaime drew the number line below to show 2/3 4/5. Explain how the number line shows 2/3 times 4/5. What is the product?
bearhunter [10]

Answer:

\frac{2}{3} * \frac{4}{5} = \frac{6}{15}

Step-by-step explanation:

Given

\frac{2}{3} * \frac{4}{5} =

The number line is missing from the question.

So, I will answer the question and also draw the number line to show the product.

\frac{2}{3} * \frac{4}{5} =

\frac{2}{3} * \frac{4}{5} = \frac{6}{15}

To represent this on a number line;

We draw a number line of 15 points, and place a dot on the 6th point.

This represents 6/15

See attachment

8 0
3 years ago
Which is the domain of y=10-2x^
liberstina [14]
Y=10x

hope this helped, have a good day
8 0
3 years ago
In an examination of purchasing patterns of shoppers, a sample of 16 shoppers revealed that they spent, on average, $54 per hour
Lesechka [4]

Answer:

54-1.64\frac{21}{\sqrt{16}}=45.39    

54 +1.64\frac{21}{\sqrt{16}}=62.61    

So on this case the 90% confidence interval would be given by (45.39;62.61)    

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

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".

\bar X=54 represent the sample mean  

\mu population mean (variable of interest)

\sigma=21 represent the sample standard deviation

n=16 represent the sample size  

Solution to the problem

The confidence interval for the mean is given by the following formula:

\bar X \pm z_{\alpha/2}\frac{\sigma}{\sqrt{n}}   (1)

Since the Confidence is 0.90 or 90%, the value of \alpha=1-0.9=0.1 and \alpha/2 =0.05, and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-NORM.INV(0.05,0,1)".And we see that z_{\alpha/2}=1.64

Now we have everything in order to replace into formula (1):

54-1.64\frac{21}{\sqrt{16}}=45.39    

54 +1.64\frac{21}{\sqrt{16}}=62.61    

So on this case the 90% confidence interval would be given by (45.39;62.61)    

4 0
4 years ago
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