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Yakvenalex [24]
3 years ago
7

Plz help in need help

Mathematics
2 answers:
frozen [14]3 years ago
4 0
The answer is 4 I think
Lorico [155]3 years ago
4 0
12-2v+6v
12- 2(-1) + 6(-1)
12- (-2) + (-6)
12 + 2 - 6
10-6
4
You might be interested in
The perimeter of a rectangular carpet is 34 feet. The length of the carpet is one foot shorter than twice the width a) Write and
zysi [14]

Answer:

a.) 3x = 18 (where x = width)

b.) Area = 66 squared feet

Step-by-step explanation:

2{x + (2x-1)} = 34

3x - 1 = 17

x = 6 feet

length = 11 feet

Area = x (2x -1)

4 0
3 years ago
What is the measurement of abd <br><br>​
belka [17]

Answer:

it is 23. always remember it's supposed to add up to 180. So add up all your numbers and subtract the total from 180 to get your answer

4 0
3 years ago
Read 2 more answers
Solve the system by either the addition method or the substitution method.
GalinKa [24]

Answer:x = - 5

y = 2

Step-by-step explanation:

The given system of simultaneous equations is expressed as

x + 3y = 1 - - - - - - - - - - - - - -1

4x + 4y = -12 - - - - - - - - - - - 2

We want to eliminate x. Multiplying equation 1 by 4 and equation 2 by 1, it becomes

4x + 12y = 4

4x + 4y = - 12

Subtracting the second equation from the first equation, it becomes

8y = 16

y = 16/8 = 2

Substituting y = 2 into equation 1, it becomes

x + 3 × 2 = 1

x + 6 = 1

x = 1 - 6 = - 5

6 0
3 years ago
Find the upper 20%of the weight?
meriva

Answer:

The upper 20% of the weighs are weights of at least X, which is X = 0.84\sigma + \mu, in which \sigma is the standard deviation of all weights and \mu is the mean.

Step-by-step explanation:

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.

Upper 20% of weights:

The upper 20% of the weighs are weighs of at least X, which is found when Z has a p-value of 0.8. So X when Z = 0.84. Then

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

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

X = 0.84\sigma + \mu

The upper 20% of the weighs are weights of at least X, which is X = 0.84\sigma + \mu, in which \sigma is the standard deviation of all weights and \mu is the mean.

6 0
3 years ago
The final exam scores in a statistics class were normally distributed with a mean of 70 and a standard deviation of five. What i
sp2606 [1]

The probability that a student scored less than 55% on the exam is 0.134%.

<h3>What is a normal distribution?</h3>

It's the probability curve of a continuous distribution that's most likely symmetric around the mean. On the Z curve, at Z=0, the chance is 50-50. A bell-shaped curve is another name for it.

We have:

Mean of the sample = 70

Standard deviation = 5

= P(X<55%)

Z = (55-70)/5

Z = -3

P(X < -3)

From the Z table:

P(x<-3) = 0.0013499

or

P(x<-3) = 0.134%  

Thus, the probability that a student scored less than 55% on the exam is 0.134%.

Learn more about the normal distribution here:

brainly.com/question/12421652

#SPJ1

8 0
2 years ago
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