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Grace [21]
3 years ago
11

HELPLPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP

Mathematics
2 answers:
professor190 [17]3 years ago
8 0
Gang gang gang gang ong no cap
nirvana33 [79]3 years ago
3 0
1. 70 2. 22 3. 55 4. 45 5. 65
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I need help with this !!
Zanzabum

Answer:

the twins will always have the same age

Step-by-step explanation:

the equation for jasmine's age is 2(3x+6), while the equation for james's age is 3(2x+4)

2(3x+6) = 2*3x + 2*6 = 6x + 12

3(2x+4) = 3*2x + 3*4 = 6x + 12

since both have the same equation, both will be the same age when you plug in the same x value

7 0
3 years ago
Solve (x+6)/(4x^2)+3/(2x^2)=(x+4)/(2x^2)
dolphi86 [110]
The answer is that x=4:) comment if you want the steps
3 0
3 years ago
The following table gives the outside temperature in degrees Fahrenheit on a summer afternoon:
makvit [3.9K]
A.
For 12 - 1,
82 - 78 = 4 degrees per hour

For 1 - 3:15,
(88 - 82) / 2.25 = 2.67 degrees per hour

For 3:15 - 4:30,
(93 - 88) / 1.25 = 4 degrees per hour

For 4:30 to 6,
(91 - 93) / 1.5 = 1.33 degrees per hour

The time intervals 12 to 1 and 3:15 to 4 had the fastest rate of change
7 0
3 years ago
in the unted states, the height of men are normally distributed with the mean 69 inches and standard deviation 2.8 inches. If 16
yaroslaw [1]

Answer:

Probability that their mean height is less than 68 inches is 0.0764.

Step-by-step explanation:

We are given that in the united states, the height of men are normally distributed with the mean 69 inches and standard deviation 2.8 inches.

Also, 16 men are randomly selected.

<em>Let </em>\bar X<em> = sample mean height</em>

The z-score probability distribution for sample mean is given by;

              Z = \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)

where, \mu = population mean height = 69 inches

            \sigma = population standard deviation = 2.8 inches

            n = sample of men = 16

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, probability that the mean height of 16 randomly selected men is less than 68 inches is given by = P(\bar X < 68 inches)

 P(\bar X < 68 inches) = P( \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } < \frac{68-69}{\frac{2.8}{\sqrt{16} } } ) = P(Z < -1.43) = 1 - P(Z \leq 1.43)

                                                           = 1 - 0.9236 = 0.0764

<em>Now, in the z table the P(Z  x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 1.43 in the z table which has an area of 0.92364.</em>

Therefore, probability that their mean height is less than 68 inches is 0.0764.

3 0
3 years ago
Help plssss no links or files or i will report
ra1l [238]

Answer: 350/12

I think 29 2/12 can be also true because they didn't simplify the 2/12 to 1/6.

Step-by-step explanation:

You'll have to use the basic formula for volume is length × width × height. The sample box has the area of 23 1/3 which is found by length x width. They give you the height 1 1/4. I am assuming you will need to multiply 23 1/3 by 1 1/4. You'll get 350/12.

If it's simplify further it will be 175/6 or 29 1/6 as a mixed fraction.

7 0
3 years ago
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