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MrRissso [65]
3 years ago
12

Jim says that the marked yellow paths show the shortest path to the tent. Is he correct ? Explain

Mathematics
1 answer:
aev [14]3 years ago
6 0
Is there a picture so I can help
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Solve for x, and refer to the attached image.
AVprozaik [17]

Answer:

x=8

Step-by-step explanation:

7+5x

so basically what you have to do is take the 7 and subtract from both sides

so like this: 7-7 is 0 so that cancels then 47-7 is 40

then you take 5x and divide 40 by 5

so x=8

hope this helped!

4 0
3 years ago
Help me plss and if you can find all the answers for test ill be sooooo happy
iren2701 [21]

Answer:

2. 1,3,5

Step-by-step explanation:

4 = 18.00

4\sqrt{18.00 = 4.50

4.50 x 6 = 25.20

3\sqrt{18.00}= 6.00

7 0
2 years ago
What is 1 to 4 and 3 to 12?​
zloy xaker [14]

Answer:

1:4 and 3:12

Step-by-step explanation:

They are equivalent! Hope this helps! :)

7 0
2 years ago
Read 2 more answers
A person walks 1/7
balandron [24]

Answer:

3 Miles per hour. (MPH)

Step-by-step explanation:

This would be 1/7 x 21 = 21/7 = 3

6 0
3 years ago
The amount that households pay service providers for access to the Internet varies quite a bit, but the mean monthly fee is $50
Natali5045456 [20]

Answer:

(a) See Explanation

(b) \bar x =50 and \sigma_x = 0.8944

(c) The shape is normal

(d) P(\bar x > 55) = 0

Step-by-step explanation:

Given

\mu = \$50 -- mean

\sigma = \$20 --- standard deviation

n=500 --- sample size

Solving (a): The reason we can't determine the probability that an amount to access internet by a household will exceed $55.

The question says that a lot of households pay low rates, but the percentage of the households in this category is not given. This means that it is impossible to determine the shape of the distribution.

Hence, the probability cannot be calculated.

Solving (b): Sample mean and Sample standard deviation

The sample mean estimates the population mean

So:

\bar x =\mu

\bar x =50

The sample standard deviation is calculated as thus:

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

\sigma_x = \frac{20}{\sqrt{500}}

\sigma_x = \frac{20}{22.36}

\sigma_x = 0.8944

Solving (c): The shape of the distribution.

We have:

n = 500 --- The sample size

According to Central limit theorem, When the sample size is greater than 30, then the shape of the distribution is normal.

<em>Hence, the shape is normal</em>

Solving (d): P(\bar x \ge 55)

Calculate the test statistic (t)

t = \frac{\bar x - \mu}{\sigma}

t = \frac{55 - 50}{0.8945}

t = \frac{5}{0.8945}

t = 5.590

So:

P(\bar x > 55) = P(t > 5.590)

Referencing the z table, we have:

P(t > 5.590) = 0

Hence:

P(\bar x > 55) = 0

5 0
3 years ago
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