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GenaCL600 [577]
4 years ago
11

0.230769231 as a fraction

Mathematics
1 answer:
Iteru [2.4K]4 years ago
5 0

Answer:

Can not be converted

Step-by-step explanation:

According to my graphing calculator

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ANSWER ASAP!!<br>What is the surface area of the shaded front face of the composite solid?​
Svetach [21]

Answer:

break it in three rectangles!

let the rectangles be A B and C

For A = 4×2

For B 3× (4-2)

For C = 4×3

Total area 26cm²

3 0
3 years ago
The U.S. Bureau of Labor Statistics releases figures on the number of full-time wage and salary workers with flexible schedules.
Sindrei [870]

Answer:

61.70% probability that he or she will be between 23 and 52 years of age

Step-by-step explanation:

An uniform probability is a case of probability in which each outcome is equally as likely.

For this situation, we have a lower limit of the distribution that we call a and an upper limit that we call b.

The probability that we find a value X between c and d is given by the following formula.

P(c \leq X \leq d) = \frac{d - c}{b - a}

The numbers of full-time wage and salary workers in each age category are almost uniformly distributed by age, with ages ranging from 18 to 65 years.

This means that a = 18, b = 65. So

(a) what is the probability that he or she will be between 23 and 52 years of age?

P(23 \leq X \leq 52) = \frac{52 - 23}{65 - 18} = 0.6170

61.70% probability that he or she will be between 23 and 52 years of age

3 0
4 years ago
Solve pls brainliest
Pavel [41]

Answer:

-3

Step-by-step explanation:

using pemdas, we first divide -18 by 6 to get -3. next, we subtract -3 from -6: -6-(-3)=-6+3=-3

3 0
3 years ago
Read 2 more answers
What is the equation for the line on the graph​
____ [38]

Answer:

x = -1

Step-by-step explanation:

7 0
3 years ago
An accelerated life test on a large number of type-D alkaline batteries revealed that the mean life for a particular use before
zheka24 [161]

Answer:

68.2% of the batteries failed between 17.8 and 20.2 hours.

95.44% of the batteries failed between 16.6 and 21.4 hours.

99.97% of the batteries failed between 15.4 and 22.6 hours.

Step-by-step explanation:

The 68-95-99.7 states that, for a normally distributed sample:

68.26% of the measures are within 1 standard deviation of the sample.

95.44% of the measures are within 2 standard deviations of the sample.

99.97% of the measures are within 3 standard deviations of the sample.

In this problem, we have that:

Mean of 19 hours, standard deviation of 1.2 hours.

About 68.26% of the batteries failed between what two values?

This is within 1 standard deviation of the mean. So 68.2% of the batteries failed between 17.8 and 20.2 hours.

About 95.44% of the batteries failed between what two values?

This is within 2 standard deviations of the mean. So 95.44% of the batteries failed between 16.6 and 21.4 hours.

About 99.97% of the batteries failed between what two values?

This is within 3 standard deviations of the mean. So 99.97% of the batteries failed between 15.4 and 22.6 hours.

5 0
3 years ago
Read 2 more answers
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