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german
3 years ago
14

Need help with this ​

Mathematics
1 answer:
topjm [15]3 years ago
6 0

Step-by-step explanation:

The possible taxable income will be over $137,050 but not over $208,850.

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Is 3 a factor of 12 yes or no
FinnZ [79.3K]

Answer:

Yes

Step-by-step explanation:

Yes, 3 is a factor of 12.

4 0
4 years ago
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American football field measure of 100 yards between the end zone and are 53 1/3 yards wide. is the length of the diagonal acros
tresset_1 [31]

It is more than 100 yards.  Take the equation a^2+b^2=c^2. plug in a(100) and b(53 1/3) and find the squares of those. then add them up. that should equal 12840.89. then find the square root of that which is 113.32 (rounded). so it is more than 100 yards.
4 0
3 years ago
PLEASE PLEASE I NEED HELP ON THIS QUESTION
Xelga [282]

Answer: 330 ft

Step-by-step explanation: 5x11x6 = 330

5x11= 55

55x6=330

When your trying to find the area of something you always multiply. Hope this helped :)

5 0
3 years ago
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Adriana uses 1 1/4 cups of pretzels for every 1/2 cup of raisins when making a snack mix. What is the number of cups of pretzels
zlopas [31]
2.5 pretzels for ever 1 cup of raisins
3 0
3 years ago
The results of a national survey showed that on average, adults sleep 6.7 hours per night. Suppose that the standard deviation i
Roman55 [17]

Answer:

a) Atleast 75%

b) Atleast 88.9%

c) 95%

Step-by-step explanation:

We are given the following information in the question:

Mean, μ = 6.7

Standard Deviation, σ = 1.6

Chebyshev's Theorem:

  • Atleast 1 - \dfrac{1}{k^2} percent of data lies within k standard deviation of mean.

Empirical Rule:

  • Almost all the data lies within 3 standard deviation for a normal data.
  • Around 68% of data lies within 1 standard deviation of mean.
  • Around 95% of data lies within 2 standard deviation of mean.
  • Around 99.7% of data lies within 3 standard deviations o mean.

a) minimum percentage of individuals who sleep between 3.5 and 9.9 hours

3.5 = \mu - 2\sigma = 6.7 - 2(1.6)\\9.9 = \mu + 2\sigma = 6.7 + 2(1.6)

We have to find the percent of data lying within 2 standard deviation of mean.

Putting k =  2

1 - \dfrac{1}{(2)^2} = 0.75 = 75\%

Atleast 75% of of individuals who sleep between 3.5 and 9.9 hours.

b) minimum percentage of individuals who sleep between 2.7 and 10.7 hours

2.7 = \mu - 3\sigma = 6.7 - 3(1.6)\\10.7 = \mu + 3\sigma = 6.7 + 3(1.6)

We have to find the percent of data lying within 3 standard deviation of mean.

Putting k =  3

1 - \dfrac{1}{(3)^2} = 0.889 = 88.9\%

Atleast 88.9% of of individuals who sleep between 2.7 and 10.7 hours.

c)  percentage of individuals who sleep between 3.5 and 9.9 hours per day.

Thus, we have to find the percentage of data lying within 2 standard deviation.

By empirical rule, around 95% of data lies within 2 standard deviation.

Thus, 95% of of individuals who sleep between 3.5 and 9.9 hours.

This is higher than the percentage obtained from Chebyshev's rule.

4 0
3 years ago
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