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3 years ago

Please say all the values

Mathematics

1 answer:

MArishka [77]3 years ago

7 0

Answer:

-8 and -11

Step-by-step explanation:

all you do is divide both sides by -5 to get x<-4 (you swap the direction of the sign when you multiply or divide by a negative number) so the answers that are smaller than -4 are -8 and -11 NOT -4

it would be amazing if you marked this as brainliest :)

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HELP ME PLEASE with this math question

icang [17]

Answer:

18.9c - 11.2d + 9.3f

Step-by-step explanation:

First, write the equation as adding all the parentheses together like so:

(9.7c - 1.9d) + (9.2c + 1.1f) + (8.2f - 9.3d)

Remove the parentheses:

9.7c - 1.9d + 9.2c + 1.1f + 8.2f - 9.3d

Collect like terms (9.7c and + 9.2c):

18.9c - 1.9d + 1.1f + 8.2f - 9.3d

Collect like terms again (1.9d and - 9.3d):

18.9c - 11.2d + 1.1f + 8.2f

Collect like terms again (1.1f + 8.2f)

18.9c - 11.2d + 9.3f

Hope this helped!

6 0

4 years ago

Which equation is a point slope form equation for line ab?

lara [203]

we have point (1,-1)

and point (-3,5)

slope =(y2-y1)/(x2-x1)

m = (5-(-1))/(-3-(1))

m = 6/(-3-1)

m = 6/-4

m = -3/2

point slope form

y-y1 = m(x-x1)

y-(-1) =-3/2(x-(1))

y+1=-3/2(x-1)

Choice B

6 0

3 years ago

If x3=64 and y3=125, what is the value of y−x?

Verdich [7]

Answer:First we use equation 1

x=64/3

Second we solve equation 2

y=125/3

Now combine equation 1 and 2

y-x=125/3 -64/3

=61/3

Step-by-step explanation:

3 0

3 years ago

The scores on the GMAT entrance exam at an MBA program in the Central Valley of California are normally distributed with a mean

Kaylis [27]

Answer:

58.32% probability that a randomly selected application will report a GMAT score of less than 600

93.51% probability that a sample of 50 randomly selected applications will report an average GMAT score of less than 600

98.38% probability that a sample of 100 randomly selected applications will report an average GMAT score of less than 600

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 $s = \frac{\sigma}{\sqrt{n}}$ .