A house costs $600 more than twelve times the lot on which it was built. If the lot cost x dollars, what did the house cost?

Choose the student who correctly used substitution to determine if 19 was a solution to the equation. Mara's work Juan's work Ac

Anton [14]

Answer:

Juan’s work is true for those who are un assured enjoy !! ^^

Step-by-step explanation:

4 0

3 years ago

Read 2 more answers

6.<br> -20 + -2m<br> Can u help me

stellarik [79]

Answer

Step-by-step explanation:

Replace all occurrences of

+

−

with a single

−

. A plus sign followed by a minus sign has the same mathematical meaning as a single minus sign because

1

⋅

−

1

=

−

1

−

20

−

2

m

4 0

3 years ago

Please help with these questions... I've been trying to figure them out for like twenty minutes and at this point I just don't h

vlada-n [284]

Answer:

1. y=2x^2-8X-1

2. y=-6x^2+36x-63

3. y=-3x^2+18x-34

4. y=9x^2+54x+76

5. y=-x^2+8x-22

6. y=6x^2-48x+90

7. y=8x^2+16x+5

8. y=2x^2-8x+1

Have a great day :)

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