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ASHA 777 [7]
3 years ago
7

What is the greatest possible percent error in calculating the volume of a box measured to the nearest inch with sides of 5 in,

10 in., and 10 in?
Round to the nearest percent
A. 18%
B. 21%
C. 23%
D. 25%
Mathematics
1 answer:
Otrada [13]3 years ago
6 0
You can't make any errors or else you will get the wrong answer
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Which shows all the prime factors for 36?   A.2 • 18  B.4 • 9  C.2 • 2 • 3 • 3  D.2 • 2 • 3 • 5
DENIUS [597]
36 = 2 x 2 x 3 x 3 (Answer C)
7 0
3 years ago
Fernando has a bag of beads in five different colors: purple, blue, green, green, orange, and gray. The table below shows the re
zavuch27 [327]

Answer: 6

Step-by-step explanation:

6 0
3 years ago
There is a box of colored marbles on the countertop. There are 24 blue, 16 green, and 32 red. What is the ratio of blue to total
labwork [276]

Step-by-step explanation:

........understood..............

8 0
2 years ago
The number of tickets purchased by an individual for Beckham College's holiday music festival is a uniformly distributed random
Zanzabum

1) Mean: 6.5

2) Standard deviation: 3.2

Step-by-step explanation:

1)

A uniform random distribution is the distribution of a variable that can assume n different values, and each of these values is equally likely to occur.

This means that the probability of occurring of each of these values is the same:

p(x_1)=p(x_2)=...=p(x_n)

For a uniform random distribution, the mean of the distribution is simply equal to the median value of the distribution, which is exactly at the center of the distribution itself. It can be calculated as

\bar x = \frac{1}{2}(a+b)

where

a is the lowest value of the distribution

b is the highest value of the distribution

Here the distribution consists of all values ranging from 1 to 12, so:

a = 1

b = 12

Therefore the mean value is

\bar x=\frac{1}{2}(1+12)=6.5

2)

For a uniform random distribution, it can be dimostrated that the variance of the distribution is

\sigma^2 = \frac{1}{12}(b-a)^2

For the distribution in this problem, we have:

a = 1

b = 12

Therefore the variance is

\sigma^2 = \frac{1}{12}(12-1)^2=10.08

The standard deviation is the square root of the variance, therefore for this distribution it is:

\sqrt{\sigma^2}=\sqrt{10.08}=3.2

Learn more about mean and standard deviation:

brainly.com/question/6073431

brainly.com/question/8799684

brainly.com/question/4625002

#LearnwithBrainly

3 0
3 years ago
HELP IS THIS correct??? !!!
Allushta [10]

Answer:

No

Step-by-step explanation:

                                            x           y

y = - 3(-2) + 1 =  7                -2        7        

y = -3(0) +1 = 1                      0         1

y = -3(1) + 1 = -2                    1          -2

y = -3(3) + 1 = -8                   3      -8

8 0
3 years ago
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