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ira [324]
3 years ago
8

Which equation are equivalent to Y equals2/3 X -4 when written in slope intercept form check all that apply

Mathematics
1 answer:
Neporo4naja [7]3 years ago
5 0

Answer:

tg

Step-by-step explanation:

ggr

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Round .593 to the nearest tenths place value.
Over [174]

Answer:

1

Step-by-step explanation:

The tenths place is on the other side of the decimal so you have to star from 3.  if the 3 was the number 5 or higher you would round the 9 up to ten, but since it is lower you leave the 9 alone and then move on to the next number which is 5.  The 5 would be rounded up to 6 because the 9 next to it is higher than 5. So far you have 0.6. looking at the 0 we would round up to 1 because the 6 is higher than 5. the result is 1.0 or 1.

5 0
3 years ago
A. 2y − 17y R 70<br> B. 2y − 17y R −70<br> C. 2y − 3<br> D. 2y + 3
11111nata11111 [884]
D.2y+3 i think is the answer

6 0
3 years ago
Simplify the expression. (6)8 + (6)3
Drupady [299]

Answer:

66

Step-by-step explanation:

Use the PEMDAS order. Multiplication comes before addition so it simplifies to 6(8)+(6)3

=48+18

=66

5 0
3 years ago
Read 2 more answers
The graph of a function must pass the __________ line test. <br> A) vertical <br> B) horizontal
olga2289 [7]

Answer:

A) Vertical.

Step-by-step explanation:

It must pass the vertical line test. That is it must not have any vertical line passing through more than one point on the curve. If it does then it is not a function.

Thus , for example, a circle graph would not be a function.

5 0
3 years ago
Read 2 more answers
A manufacturer knows that their items have a normally distributed length, with a mean of 15.4 inches, and standard deviation of
Masteriza [31]

Answer:

0.9452 = 94.52% probability that their mean length is less than 16.8 inches.

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.

Mean of 15.4 inches, and standard deviation of 3.5 inches.

This means that \mu = 15.4, \sigma = 3.5

16 items are chosen at random

This means that n = 16, s = \frac{3.5}{\sqrt{16}} = 0.875

What is the probability that their mean length is less than 16.8 inches?

This is the p-value of Z when X = 16.8. So

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

By the Central Limit Theorem

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

Z = \frac{16.8 - 15.4}{0.875}

Z = 1.6

Z = 1.6 has a p-value of 0.9452.

0.9452 = 94.52% probability that their mean length is less than 16.8 inches.

5 0
3 years ago
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