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omeli [17]
3 years ago
8

Help me please ! (: (6th grade)

Mathematics
1 answer:
mihalych1998 [28]3 years ago
7 0

Answer:

$64.99

Step-by-step explanation:

A total of $584.91 was spent among 9 people (Caleb + 8 friends), thus we can find the amount per person. 584.91  \text{ dollars}/9\text{ people} = 64.99 \text{ dollars}/\text{person}

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Convert the equation from Standard Form to Slope Intercept Form. Show all of your work using inverse operations. 8x + 4y = 16, s
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Basiclaly solve for y
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4y=-8x+16
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6 0
3 years ago
Factor/simply x^2-3x+9/4<br> (Please explain also)
Burka [1]

Answer: PSR (Perfect Square Rule) = (x-3/2)^2

The you simplify.... = x^2 - 3x + 9/4

Step-by-step explanation: Factor by using the PSR (Perfect Square Rule). Then you have to simplify.

Hope this helps you out! ☺

7 0
2 years ago
Using the equation y = 3x – 5, what would the output be for an input of 4
SSSSS [86.1K]
The input is the x-coordinate and the output is the y-coordinate. If the input is 4, plug 4 into the x variable to find the output, y.

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8 0
2 years ago
Read 2 more answers
A football team lost 9 yards on each of two consecutive plays. represent the total change as a product of sun numbers and then f
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7 0
3 years ago
A simple random sample of 100 observations was taken from a large population. The sample mean and the standard deviation were de
olga2289 [7]

Answer:

Se=1.2

Step-by-step explanation:

The standard error is the standard deviation of a sample population. "It measures the accuracy with which a sample represents a population".

The central limit theorem (CLT) states "that the distribution of sample means approximates a normal distribution, as the sample size becomes larger, assuming that all samples are identical in size, and regardless of the population distribution shape"

The sample mean is defined as:

\bar X =\frac{\sum_{i=1}^n x_i}{n}

And the distribution for the sample mean is given by:

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

Let X denotes the random variable that measures the particular characteristic of interest. Let, X1, X2, …, Xn be the values of the random variable for the n units of the sample.

As the sample size is large,(>30) it can be assumed that the distribution is normal. The standard error of the sample mean X bar is given by:

Se=\frac{\sigma}{\sqrt{n}}

If we replace the values given we have:

Se=\frac{12}{\sqrt{100}}=1.2

So then the distribution for the sample mean \bar X is:

\bar X \sim N(\mu=80,Se=1.2)

5 0
2 years ago
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