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ipn [44]
2 years ago
15

Y = 2x + 6 2y = 4x + 12 are they one solution

Mathematics
2 answers:
pogonyaev2 years ago
4 0

Answer:

6 + 2x

Step-by-step explanation:

Ray Of Light [21]2 years ago
4 0
Yes hwjwjsjjwkwiwisjsj wjjsisjqiwiwjwnsn wjsnwbidjw
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6. <br> omg someone please help w the correct answer
Neporo4naja [7]
This occurs for the input(s) x where the outputs, f(x) and g(x), are equal. So here, f(x) = g(x) when x = 1, because 5 = 5.
4 0
3 years ago
Point C is located in which quadrant?<br><br> a.) I<br> b.) II<br> c.) III<br> d.) IV
Aleonysh [2.5K]
B, it is located on the 2nd quadrant
6 0
2 years ago
Read 2 more answers
A set of data with 750 numbers is normally
kifflom [539]

Answer:

510

Step-by-step explanation:

(0.68)750

shift decimal places

510.00

refine:510

6 0
3 years ago
Answer?I need it pleaseeee
Elan Coil [88]

Answer: 20 dallors

Step-by-step explanation:

8 0
1 year ago
Monitors manufactured by TSI Electronics have life spans that have a normal distribution with a variance of 4,000,000 and a mean
In-s [12.5K]

Using the normal distribution, it is found that there is a 0.2776 = 27.76% probability that the life span of the monitor will be more than 20,179 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 = 19000, \sigma = \sqrt{4000000} = 2000

The probability that the life span of the monitor will be more than 20,179 hours is <u>one subtracted by the p-value of Z when X = 20179</u>, hence:

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

Z = \frac{20179 - 19000}{2000}

Z = 0.59.

Z = 0.59 has a p-value of 0.7224.

1 - 0.7224 = 0.2776.

0.2776 = 27.76% probability that the life span of the monitor will be more than 20,179 hours.

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

#SPJ1

6 0
1 year ago
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