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Karo-lina-s [1.5K]
2 years ago
7

What is an equation of the line that passes through the point ( − 5 , − 3 ) (−5,−3) and is parallel to the line 3 x + 5 y = 15 3

x+5y=15?
Mathematics
1 answer:
aivan3 [116]2 years ago
6 0

Answer:

would it be 5y

Step-by-step explanation:

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You have $200 in savings account. Each week for 8 weeks, you take out $18 for spending money. How much money is in your account
Elina [12.6K]

Answer:

$56

Step-by-step explanation:

Multiply to find how much he took out.

18 * 8 = 144

Subtract to find how much he has left.

200 - 144 = 56

Best of Luck!

3 0
2 years ago
What is the answer to (-18) - 14 =
tester [92]

Answer:

-32

Step-by-step explanation:

Negative plus negative = Negative

Just add those 2 together,

(-)18 + (-) 14

Which is -32

(-) 32 = -32

4 0
3 years ago
Please i will give brainliest <br>​
igor_vitrenko [27]

Answer:

6✓2=8.49

✓8.49^2-6^2

✓ 36

6

✓24^2+6^2

✓612

=24.74=x

5 0
3 years ago
Ea+ec=5.40, ec*2=s,ea/2=s<br><br> What is Ec?
alexandr402 [8]
I have no idea I am only in  Middle School

3 0
3 years ago
The average Act score follows a normal distribution, with a mean of 21.1 and a standard deviation of 5.1. What is the probabilit
ohaa [14]

Answer:

0.43% probability that the mean IQ score of 50 randomly selected people will be more than 23

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 normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes 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:

\mu = 21.1, \sigma = 5.1, n = 50, s = \frac{5.1}{\sqrt{50}} = 0.7212

What is the probability that the mean IQ score of 50 randomly selected people will be more than 23

This is 1 subtracted by the pvalue of Z when X = 23. So

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

By the Central Limit Theorem

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

Z = \frac{23 - 21.1}{0.7212}

Z = 2.63

Z = 2.63 has a pvalue of 0.9957

1 - 0.9957 = 0.0043

0.43% probability that the mean IQ score of 50 randomly selected people will be more than 23

5 0
3 years ago
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