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sesenic [268]
3 years ago
7

Solve for u. 4u=10.24. Please answer thanks :)

Mathematics
2 answers:
ivolga24 [154]3 years ago
6 0

Answer:

Simplifying

4u = 10.24

Solving

4u = 10.24

Solving for variable 'u'.

Move all terms containing u to the left, all other terms to the right.

Divide each side by '4'.

u = 2.56

Simplifying

u = 2.56

Step-by-step explanation:

NeTakaya3 years ago
6 0

Answer:

u=2.56

Step-by-step explanation:

The given equation is

4u=10.24

We want to solve for the variable u, in the linear equation above.

We divide both sides by 4 to obtain;

\frac{4u}{4} =\frac{10.24}{4}

We simplify to get;

u=2.56

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D

Step-by-step explanation:

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3 years ago
True or false? these numbers can be used to calculate the standard deviation of this distribution
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The answer would be False
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4 years ago
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svetoff [14.1K]
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5 0
3 years ago
An aircraft has a maximum of 30 first class seats and 220 economy seats.
Sidana [21]

Answer:

x\leq 30

y\leq 220

240x+120y

Step-by-step explanation:

Let

x ----> the number of first class seats

y ----> the number of economy class seats

we know that

An aircraft has a maximum of 30 first class seats

so

x\leq 30

An aircraft has a maximum of 220 economy seats

y\leq 220

A flight will be cancelled if the money taken for the seats is less than $28,800.

so

240x+120y

therefore

Three inequalities that represent the situation are

x\leq 30

y\leq 220

240x+120y

8 0
3 years ago
The standard deviation of a population is known to be 7.8. If the sample size I'd 85, what is the standard error of the mean
12345 [234]

Answer:

The standard error of the mean is 0.85.

Step-by-step explanation:

The given standard deviation of a population (σ) = 7.8

sample size (N) = 85

We have to find standard error of the mean.

The formula to find standard error of the mean

= (standard deviation of the distribution) / (square root of sample size)

= (σ) / (√N)

= 7.8 / (√85)

= 7.8 / 9.219544457

= 0.8460

= 0.85 (approximately taken to two decimal places)

We have got the required answer.

The standard error of the mean is 0.85.



3 0
3 years ago
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