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zysi [14]
3 years ago
15

1.488 divided by 2.1 rounded to nearest tenth

Mathematics
1 answer:
Neko [114]3 years ago
7 0
The answer should be 0.70
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why?? because i is just like a mirror it is reflected on the other side

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How do you create a system of inequalities with given restraints?
____ [38]
Given:
sugar cookies = x = 1 batch = 2 3/4 cups of flour
loaves of banana bread = y = 1 loaf = 2 1/2 cups of flour

2 3/4 x + 2 1/2 y <u><</u> 36

the total number of cups of flour used per batch of sugar cookies and loaf of banana bread should not exceed 36 cups of flour.
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80 hours of labor work 40 assistant 25 hr earn $22per hour 15 per hr. earn$10 how much labor
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80 hr total
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6 0
4 years ago
PLEASE HELP ASAP I always give brainliests!
nlexa [21]

first to find average age add all the ages divide by number of ages 4

5+4=9

9+6=15

15+39=54

54/4=13.5

For standard deviation find the mean/average

13.5

then subtract the mean from each number/age

5-13.5=-8.5

4-13.5=-9.5

6-13.5=-7.5

39-13.5=25.5

then square each number

-8.5^2=-72.25

-9.5^2=-90.25

-7.5^2=-56.25

25.5^2=650.25

then find the mean/average of the new numbers

-72.25+-90.25+-56.25+650.25=431.5

431.5/4=107.85

then take the square root of the new mean/average

\sqrt{ 107.875}\\10.38628903...

7 0
3 years ago
A worker at a landscape design center uses a machine to fill bags with potting soil. Assume that the quantity put in each bag fo
defon

Answer:

a) The expected value is given by:

E(X) =\frac{a+b}{2}= \frac{10+12}{2}= 11

The variance is given by:

Var(X) = \frac{(b-a)^2}{12}= \frac{(12-10)^2}{12}= 0.3333

And the standard deviation is just the square root of the variance and we got:

Sd(x) = \sqrt{0.3333}= 0.5774

b) P(X

And we can use the cumulative distribution function given by:

F(x) = \frac{x-a}{b-a}, a \leq x \leq b

And using this function we got:

P(X

c) P(X>10.5)

And using the complement rule and the cumulative distribution function we got:

P(X>10.5)= 1-P(X

Step-by-step explanation:

For this case we define the random variable X=quantity put in each bag , and we know that the distribution for X is given by:

X \sim Unif (a= 10, b =12)

Part a

The expected value is given by:

E(X) =\frac{a+b}{2}= \frac{10+12}{2}= 11

The variance is given by:

Var(X) = \frac{(b-a)^2}{12}= \frac{(12-10)^2}{12}= 0.3333

And the standard deviation is just the square root of the variance and we got:

Sd(x) = \sqrt{0.3333}= 0.5774

Part b

For this case we want this probability:

P(X

And we can use the cumulative distribution function given by:

F(x) = \frac{x-a}{b-a}, a \leq x \leq b

And using this function we got:

P(X

Part c

For this case we want this probability:

P(X>10.5)

And using the complement rule and the cumulative distribution function we got:

P(X>10.5)= 1-P(X

3 0
4 years ago
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