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zmey [24]
2 years ago
6

Which equation is part of solving the system by substitution?

Mathematics
2 answers:
gayaneshka [121]2 years ago
5 0

Answer:

4(11-y)²-3y²=8

Step-by-step explanation:

x+y=11

x=11-y

melomori [17]2 years ago
3 0

Answer:

a

Step-by-step explanation:

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9,3,1, what is the sequence and what is it equal to?
Thepotemich [5.8K]

Answer: the sequence is to divide by 3 and it gets smaller and smaller by dividing by three I don't think there is an end to it.

Step-by-step explanation:

9/3=3

3/3=1

1/3=1/3

1/3/3=1/9

1/9/3=1/27

1/27/3=1/81

and I think you know what I mean by now right?

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2 years ago
A website offers free shipping to customers who order at least $75 dollars worth of merchandise. Della is ordering 2 flashlights
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It’s A. 11 or more
YW
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The following data shows rainfall in a forest, in inches, on consecutive days of a month: 2.7, 2.6, 2.4, 2.5, 2.8, 2.6, 2.7, 2.8
NARA [144]

Answer:

box plot with minimum value 2.3, lower quartile 2.4, median 2.6, upper quartile 2.7, and maximum value 2.8

that is the right answer because  we have  2.3    one time  that is minum then 2.4  two times that means lower 2.5 2 times but this is not middle because total 11 times calculation are given and middle is of 2.6 upper of 2.7 two times and maximum 2.8 two times

8 0
3 years ago
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4x + 5y = 12 and 3x + 4y = 9.25 . Solve for systems of equations
masha68 [24]

Answer:

y=1

x=7/4

Step-by-step explanation:

4x + 5y = 12

3x + 4y = 9.25

4x + 5y = 12

12x + 16y =37

-12x -15 y =-36

12x + 16y =37

y=1

x=7/4

8 0
3 years ago
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The mean life of a television set is 119119 months with a standard deviation of 1414 months. If a sample of 7474 televisions is
Pepsi [2]

Answer:

0.5034 = 50.34% probability that the sample mean would differ from the true mean by less than 1.1 months

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 can be 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 random variable X, with mean \mu and standard deviation \sigma, the sample means with size n of at least 30 can be approximated to a normal distribution with mean

In this problem, we have that:

\mu = 119, \sigma = 14, n = 74, s = \frac{14}{\sqrt{74}} = 1.6275

What is the probability that the sample mean would differ from the true mean by less than 1.11 months?

This is the pvalue of Z when X = 119 + 1.1 = 120.1 subtracted by the pvalue of Z when X = 119 - 1.1 = 117.9. So

X = 120.1

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

By the Central Limit Theorem

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

Z = \frac{120.1 - 119}{1.6275}

Z = 0.68

Z = 0.68 has a pvalue of 0.7517

X = 117.9

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

Z = \frac{117.9 - 119}{1.6275}

Z = -0.68

Z = -0.68 has a pvalue of 0.2483

0.7517 - 0.2483 = 0.5034

0.5034 = 50.34% probability that the sample mean would differ from the true mean by less than 1.1 months

3 0
3 years ago
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