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3 years ago

How do u do this problem

Mathematics

2 answers:

Katena32 [7]3 years ago

5 0

Slope = (4-2)/(1-2) = -2

y-4 = -2(x - 1)
y - 4 = -2x + 2

y = -2x + 6 Answer

Hoochie [10]3 years ago

3 0

L(1,4)(2,2)

first find slope. (4-2)/(1-2)=-2

write in point slope for y-y1=m(x-x1)
y+2 =-2(x-4)

now solve for y
y = -2x+6

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Find two consecutive odd integers such that 32 more than the lesser is three times the greater

Maslowich

Answer:

First odd number = 13

Second odd number = 15

Step-by-step explanation:

Let

First odd number = 2x + 1

Second odd number = 2x + 3

According to given conditions:

32 + 2x + 1= 3 (2x + 3)

33 + 2x = 6x + 9

Taking terms with x to left and constants to right

2x - 6x = 9 - 33 (sign of transferred terms will be changed)

-4x = -24

Dividing both sides by -4

x = -24/-4

x =6

So,

First odd number = 2x + 1 = 2*6 + 1 = 12 + 1 =13

Second odd number = 2x + 3= 2*6 +3= 12 + 3 = 15

I hope it will help you!

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4 years ago

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Vaselesa [24]

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1-6 siblings
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4 years ago

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Step-by-step explanation:

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Read 2 more answers

Select the most accurate statement regarding the normal distribution. Group of answer choices It is always the appropriate distr

PSYCHO15rus [73]

Answer:

There is a 95% chance that values will be within ±2 standard deviations of 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.

The Empirical Rule states that, for a normally distributed random variable:

Approximately 68% of the measures are within 1 standard deviation of the mean.

Approximately 95% of the measures are within 2 standard deviations of the mean.

Approximately 99.7% of the measures are within 3 standard deviations of the mean.

In this question:

According to the empirical rule, 95% of the measures are within 2 standard deviations of the mean. So the correct statement is:

There is a 95% chance that values will be within ±2 standard deviations of the mean.

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