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stiks02 [169]
3 years ago
5

PLEASE HELP!! Simplify the expression. Show your work.

Mathematics
1 answer:
Diano4ka-milaya [45]3 years ago
4 0

Answer:

it's finally answer if any question reply me again

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AlekseyPX
The answer to your question is 260
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3 years ago
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25,00 people took part in a cross-country race The number of adults was 4 times the number of children there were 1,200 men.How
erastovalidia [21]

Answer:

Step-by-step explanation:

number of people= 2500

number of children =x

number of adults = 4x

so,  4x+x= 2500

x= 2500/5=500 children

number of men = 1200

number of women = 2500-(1200+500)= 800

4 0
3 years ago
The number of miles driven by a truck driver falls between 300 and 700, and follows a uniform distribution.
Elena-2011 [213]

Answer:

(A) 0.125 probability

(B) 0.625 probability

(C) 660 miles

Step-by-step explanation:

The distance driven by a truck driver daily, falls between 300miles and 700miles and follows a uniform distribution.

(A) The probability that the truck driver goes more than 650 miles a day is:

[700 - 650] / [700 - 300]  = 50/400  = 0.125

(B) The probability that the truck driver goes between 400 and 650 miles a day is:

[650 - 400] / [700 - 300]  = 250/400  = 0.625

(C) The minimum number of miles the truck driver travels on the furthest 10% of days is given thus:

10% of 400  = 40

Subtract this from the farthest distance;

700miles - 40miles  = 660miles

7 0
3 years ago
Got up on my birkin it's working she said __________ is working
Bess [88]
She a virgin!!!

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3 years ago
A new car that is a gas- and electric-powered hybrid has recently hit the market. The distance travelled on 1 gallon of fuel is
Vladimir79 [104]

Answer:

Step-by-step explanation:

Since the distance travelled on 1 gallon of fuel is normally distributed, we would apply the formula for normal distribution which is expressed as

z = (x - µ)/σ

Where

x = the distance travelled.

µ = mean distance

σ = standard deviation

From the information given,

µ = 50 miles

σ = 8 miles

A) P(x > 53) = 1 - P(x ≤ 53)

For x = 53,

z = (53 - 50)/8 = 0.38

Looking at the normal distribution table, the probability value corresponding to the z score is 0.648

B) P(x < 42)

For x = 42

z = (42 - 50)/8 = - 1

Looking at the normal distribution table, the probability value corresponding to the z score is 0.1587

C) P(44 ≤ x ≤ 53)

For x = 44

z = (44 - 50)/8 = - 0.75

Looking at the normal distribution table, the probability value corresponding to the z score is 0.2266

For x = 55,

z = (55 - 50)/8 = 0.63

Looking at the normal distribution table, the probability value corresponding to the z score is 0.7357

Therefore,

P(44 ≤ x ≤ 53) = 0.7357 - 0.2266 = 0.5091

8 0
2 years ago
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