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melamori03 [73]
2 years ago
10

Round 22,810 to the nearest thousand

Mathematics
2 answers:
shusha [124]2 years ago
7 0

Answer:

23,000

Step-by-step explanation:

I did rounding.

Brainlest pls.

Anettt [7]2 years ago
4 0

Answer:

It would be 23,000.

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The sale price of ground beef at a local grocery store is $1.49 for the first pound and $1.09 for each additional pound. Which f
cricket20 [7]

Answer:

y=1.09x+0.4

Step-by-step explanation:

Let's assume that the price of beef stays the same for every pound of beef (the first pound is also $1.09)

Then, the equation would be, it y was the cost, and x was pounds:

y=1.09x

But, the price of beef is not the same for the first pound.

The first pound costs an extra 1.49-1.09=0.4 dollars a pound, so we will add that to the equation.

y=1.09x+0.4

6 0
4 years ago
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rusak2 [61]
Did you ever find the answer?
7 0
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64x squared y cubed + 8xy divided by 4xy squared
Vinil7 [7]

Answer:

2x^2y^2*(32y+1)

Step-by-step explanation:

3 0
3 years ago
F - 3/4=5/6. Please answer soon thanks
ad-work [718]
F - 3/4 = 5/6
Add 3/4 to both sides to get
F = 5/6 + 3/4 = 19/12
5 0
3 years ago
If the confidence level is 90%, find the Margin of sampling error. The population is normally distributed, the sample size is 15
charle [14.2K]

Answer:

ME = 1.761* \frac{5}{\sqrt{15}}=2.273

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= 75 represent the sample mean for the sample  

\mu population mean (variable of interest)

s=5 represent the sample standard deviation

n=15 represent the sample size  

Solution to the problem

In order to calculate the critical value t_{\alpha/2} we need to find first the degrees of freedom, given by:

df=n-1=15-1=14

Since the Confidence is 0.90 or 90%, the value of \alpha=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: "=-T.INV(0.05,14)".And we see that t_{\alpha/2}=1.761

The margin of error is given by this formula:

ME=z_{\alpha/2}\frac{s}{\sqrt{n}}    

And if we replace the values we got:

ME = 1.761* \frac{5}{\sqrt{15}}=2.273

6 0
3 years ago
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