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xeze [42]
3 years ago
12

Slope intercept form 2x-3y=12

Mathematics
2 answers:
Ivan3 years ago
6 0

Answer:

y = \frac {2} {3}x - 4

Step-by-step explanation:

<u>Step 1:  Subtract 2x from both sides </u>

2x - 3y - 2x = 12 - 2x

-3y = 12 - 2x

<u>Step 2:  Divide both sides by -3 </u>

-3y / -3 = (12 - 2x) / -3

y = -4 + \frac {2} {3}x

y = \frac {2} {3}x - 4

Answer:  y = \frac {2} {3}x - 4

RUDIKE [14]3 years ago
3 0

Answer:

y=2/3x-4

Step-by-step explanation:

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According to records, the amount of precipitation in a certain city on a November day has a mean of inches, with a standard devi
Mekhanik [1.2K]

Answer:

The probability that the mean daily precipitation will be of X inches or less for a random sample of n November days is the p-value of Z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}, in which \mu is mean amount of inches of rain and \sigma is the standard deviation.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

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

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this question:

Mean \mu, standard deviation \sigma

n days:

This means that s = \frac{\sigma}{\sqrt{n}}

Applying the Central Limit Theorem to the z-score formula.

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

What is the probability that the mean daily precipitation will be of X inches or less for a random sample of November days?

The probability that the mean daily precipitation will be of X inches or less for a random sample of n November days is the p-value of Z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}, in which \mu is mean amount of inches of rain and \sigma is the standard deviation.

5 0
3 years ago
There is a 30% sale today. what would the shoes that normally cost $125 now cost?
Katena32 [7]

Answer:

$37.50

Step-by-step explanation:

$125 times30%=$37.50

6 0
3 years ago
mrs. wilson placed the welcome mat shown below on her front door step. what is the area of her welcome mat in square feet?
I am Lyosha [343]

Answer:

12.56 square feet

7 0
3 years ago
The circumference of a circle is 37.68 meters. What is the area of the circle?
german
The area of the circle is <span>112.98 m squared</span>
4 0
3 years ago
Hi please help me no links thank you
olya-2409 [2.1K]

Step-by-step explanation: (I'm not gonna' do it <em>all</em> for you tho)

to convert from <u>percent to fraction</u>:

70% = \frac{70}{100} =\frac{7}{10}

to convert from <u>fraction to percent</u>:

\frac{11}{20}=\frac{55}{100} = 55%

to convert from <u>fraction to decimal</u>:

\frac{3}{25} =\frac{12}{100} =0.12

to convert from <u>decimal to fraction</u>:

1.25=\frac{125}{100} =1\frac{25}{100} =1\frac{1}{4}

to convert from <u>percent to decimal</u>:

0.2% = \frac{0.2}{100} =0.002

to convert from <u>decimal to percent</u>:

0.4= (0.4*100)% = 40%

With that, you can solve the rest on your own

4 0
3 years ago
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