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9 months ago

Solve the equation −14 + x = −19 for x. 33 5 −5 −33

Mathematics

2 answers:

kvasek [131]9 months ago

5 0

Answer:

-5

Step-by-step explanation:

14+5=19, so -14+ -5= -19

Ksenya-84 [330]9 months ago

4 0

Answer:

X=-5 :)

Step-by-step explanation:

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(8 times 10 to the fourth power)+(4 times 10 to the fourth power)

Aliun [14]

Answer:

120,000

Step-by-step explanation:

8 times 10 to the 4th power is 80,000 and 4 times 10 to the 4th power is 40,000 and 80,000 plus 40,000 is 120,000

8 0

3 years ago

he volume of a fish tank is 50 cubic feet. If the density is 0.2 fish over feet cubed, how many fish are in the tank?

V125BC [204]

There are 10 fish in the tank

Solution:

Given that, volume of a tank is 50 cubic feet

Density is 0.2 fish over feet cubed

To find: Number of fish in the tank

Number of fish in the tank is found by multiplying the volume of tank and density

The formula is given by:

$\text{Number of fish} = \tex{\text{volume of tank}} \times {\text{density of fish over feet cubed}}$

Substituting the given values, we get

$\text{Number of fish} = 50 ft^3 \times \frac{\text{ 0.2 fish}}{ft^3}\\\\ \text{Number of fish} = 50 \times 0.2 \text{ fish }\\\\ \text{Number of fish} = 10 \text{ fish }$

Thus there are 10 fish in the tank

5 0

3 years ago

What is the square root of 29 rounded to the nearest 10?

nydimaria [60]

5.40. It would be 5.38 but you round up to 5.40

7 0

3 years ago

A plant is already 41 centermeters tall , and it will frow on cenimeters every month. The plant's hieght,H (in centimeters) afte

Slav-nsk [51]

54 because the equation is 41+m and m is 13 and 41+13=54.

4 0

2 years ago

The Director of Admissions at Kinzua University in Nova Scotia estimated the distribution of student admissions for the fall sem

VMariaS [17]

Answer:

Variance = 24900

Standard Deviation = 157.7973

Step-by-step explanation:

We are given the following in the question:

Number of admissions: 1000 1200 1500

Admissions Probability: 0.6 0.3 0.1

Formula:

$E(x) = \displaystyle\sum x_iP(x_i)\\E(x) = 1000(0.6) + 1200(0.3) + 1500(0.1)\\E(x) = 1110\\E(x^2) = \displaystyle\sum x_i^2P(x_i)\\E(x^2) = (1000)^2(0.6) + (1200)^2(0.3) + (1500)^2(0.1)\\E(x^2) = 1257000$

Variance =

$\sigma^2 = E(x^2) - (E(x))^2\\\sigma^2 = 1257000 -(1110)^2\\\sigma^2 =24900$

Thus, the variance is 24900.

Standard Deviation =

$\sigma = \sqrt{\sigma^2} = \sqrt{24900} = 157.7973$

Thus, the standard deviation is 157.7973

7 0

2 years ago