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3 years ago

2 questions please help me

Mathematics

1 answer:

Angelina_Jolie [31]3 years ago

6 0

40) -31

41 ) 19

this are the answers I think

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Deepak is a landscaper who charges $30 for each job he does plus an additional $15 for each hour he works. He only accepts jobs

BartSMP [9]

Answer:

$30+15x\geq 90$

Step-by-step explanation:

Deepak charges for each Job = $30

An additional charges for working each hour = $15

Let x be the number of hours he worked for each job.

So,additional charges for working x hours = 15 x

So,he earns in total at each job = $30+15x$

We are also given that He only accepts jobs if he will earn at least $90 the job.

This means he must earn $90 or more than that .

So, the inequality becomes:

$30+15x\geq 90$

Hence an inequality to determine x, the number of hours he must work during each job in order to accomplish this is $30+15x\geq 90$

4 0

3 years ago

Read 2 more answers

in 2013 the population of detroit was 743204 the population of the city of detroit in the year 1970 was 688,701 greater than in

Virty [35]

Answer:

The population of Detroit in 1970 was 1,431,905 people.

Step-by-step explanation:

Take the number 743,204 and add the number 688,701.

7 0

3 years ago

PLEASE HELP! I need this asap

V125BC [204]

Answer:

5.17

Step-by-step explanation:

just at 10 pecent

3 0

3 years ago

Read 2 more answers

the three sides of an equilateral triangle measure x 12, 2x - 5 and 3x - 22 inches. the sides of the triangle measure:

Novay_Z [31]

27.... or whats the x12 ?

4 0

4 years ago

The probabilities that a batch of 4 computers will contain 0, 1, 2, 3, and 4 defective computers are 0.4521, 0.3970, 0.1307, 0.0

kicyunya [14]

Answer:

The standard deviation of given probability distribution is 0.767.

Step-by-step explanation:

We are given the following information in the question:

X: 0 1 2 3 4

P(x): 0.4521 0.3970 0.1307 0.0191 0.0010

Formula:

$\text{Mean} = \sum X.P(x)\\= 0(0.4521) + 1(0.3970) + 2(0.1307) + 3(0.0191) + 4(0.0010)\\= 0.7197$

$\mu = 0.7197$

Formula:

$\text{Variance} = \sum (X-\mu)^2E(x)\\= (0-0.7197)^2(0.4521)+(1-0.7197)^2(0.3970)+(2-0.7197)^2(0.1307)+(3-0.7197)^2(0.0191)+(4-0.7197)^2(0.0010) \\=0.587$

$\text{Standard Deviation} = \sqrt{\text{Variance}}\\= \sqrt{0.587} = 0.767$

The standard deviation of given probability distribution is 0.767.

3 0

4 years ago