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vazorg [7]
3 years ago
10

Fill in the missing number to complete the linear equation that gives the rule for this table.

Mathematics
2 answers:
PSYCHO15rus [73]3 years ago
8 0

Answer:

x = + -4 or - 4. y = + 4

Step-by-step explanation:

because 5-1 =4 and I have a somewhat of a brain if you want I can explain more

saul85 [17]3 years ago
4 0

Answer: y= 1x + 1

   

Step-by-step explanation:

there both 1

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One number is eight more than twice another. If their difference is 25, what is the larger number?
Vladimir79 [104]
You can set up an system of equations
x=2y+8
x-y=25

Substitute x in to the second equation
2y+8-y=25
y+8=25
y=17

Substitute the y back in to the first equation.
x=2(17)+8=42
7 0
3 years ago
Of a government by whom money is paid to support services​
zloy xaker [14]

Answer:

um what kinda question is this?

Step-by-step explanation:

5 0
3 years ago
Let f(x) = 2x – 1, g(x) = 3x, and h(x) = x2 + 1. Compute the following.
bonufazy [111]
4.
h(f(x)=h(2x-1)=
(2x-1)^2+1=
4x²-4x+1+1=
4x²-4x+2

5.
f(f(x))=2(2x-1)-1=4x-2-1=4x-3

6.
f o g (x)=f(g(x))
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4 0
4 years ago
What coefficient would you get for the x terms on the right side of 3x+15=2x+10+x+5
Zielflug [23.3K]

Answer:

x=0

Step-by-step explanation:

5 0
3 years ago
Read 2 more answers
he life of light bulbs is distributed normally. The variance of the lifetime is 625 and the mean lifetime of a bulb is 540 hours
almond37 [142]

Using the normal distribution, it is found that there is a 0.877 = 87.7% probability of a bulb lasting for at most 569 hours.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

Z = \frac{X - \mu}{\sigma}

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.

The mean and the standard deviation are given, respectively, by:

\mu = 540, \sigma = \sqrt{625} = 25

The probability of a bulb lasting for at most 569 hours is the <u>p-value of Z when X = 569</u>, hence:

Z = \frac{X - \mu}{\sigma}

Z = \frac{569 - 540}{25}

Z = 1.16

Z = 1.16 has a p-value of 0.877.

0.877 = 87.7% probability of a bulb lasting for at most 569 hours.

More can be learned about the normal distribution at brainly.com/question/24663213

#SPJ1

8 0
2 years ago
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