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Arturiano [62]
3 years ago
8

.33333 as a fraction

Mathematics
2 answers:
vampirchik [111]3 years ago
4 0
1/3 is the answer okayyyyy
Varvara68 [4.7K]3 years ago
3 0

Answer:

1/3

Step-by-step explanation:

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Which expressions are equivalent to 7•7•7•7•7?
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It's just AAAAA, no other answers. So just check A

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it looks as though you made 72 of your goal so far for the month you only have 5 days left to reach 100% of your goal let me rem
dezoksy [38]
72% can also be written as 0.72, so take 0.72 x 45 = 32.4     

Subtract 32.4 from 45    45 - 32.4 = 12.6    You need 12.6 renewals in 5 days.
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Although five of John's answers were incorrect, 90% of his answers were correct. How many questions did John answer in all?
fiasKO [112]

Answer:

John answered 50 questions.

Step-by-step explanation:

Although five of John's answers were incorrect, 90% of his answers were correct.

This means that 5 is 100 - 90% = 10% of the total number of questions, n. So

0.1n = 5

n = \frac{5}{0.1}

n = 50

John answered 50 questions.

7 0
2 years ago
Consider the function represented by the equation 6q = 3s - 9. Write the equation in function notation, where q is the independe
Llana [10]
Q = 3s - 9/6
q = 3(s - 3)/6
q = s - 3/2

6q + 9 = 3s
6q + 9/3 = s
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5 0
3 years ago
Consider a data set containing the following values: 70 65 71 78 89 68 50 75 The mean of the preceding values is 70.75. The devi
Leokris [45]

Answer:

If this is the sample data, the sample variance is 125.07 and the sample standard deviation is 11.18

If this is a population data, the population variance is 109.44 and the population standard deviation is 10.46

Step-by-step explanation:

We are given the following data-set:

70, 65, 71, 78, 89, 68, 50, 75

Deviations from the mean

–0.75, –5.75 , 0.25, 7.25, 18.25, –2.75, –20.75, 4.2

Sample size, n = 8

Sample:

\text{Standard Deviation} = \sqrt{\displaystyle\frac{\sum (x_i -\bar{x})^2}{n-1}}  

where x_i are data points, \bar{x} is the mean and n is the number of observations.

Sum of squares of differences =

0.5625 + 33.0625 + 0.0625 + 52.5625 + 333.0625 + 7.5625 + 430.5625 + 18.0625 = 875.5

s = \sqrt{\dfrac{875.5}{7}} = 11.18

\text{ Sample variance} = s^2 = 125.07

Population:

\text{Standard Deviation} = \sqrt{\displaystyle\frac{\sum (x_i -\bar{x})^2}{n}  

where x_i are data points, \bar{x} is the mean and n is the number of observations.

Sum of squares of differences =

0.5625 + 33.0625 + 0.0625 + 52.5625 + 333.0625 + 7.5625 + 430.5625 + 18.0625 = 875.5

\sigma = \sqrt{\dfrac{875.5}{8}} = 10.46

\text{ Population variance} = \sigma^2 = 109.44

7 0
3 years ago
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