what is the converse of the following conditional if a point is in the fourth quadrant then its coordinates are negative

Mathematics

1 answer:

Vsevolod [243]2 years ago

5 0

Your answer will be 2-2

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x2y - 2xy - 24y = y(x2 - 2x - 24) What is the completely factored form of x2y – 2xy – 24y? (xy + 4)(x – 6) xy(x + 4)(x – 6) y(x

likoan [24]

we are given

$x^2y-2xy-24y=y(x^2-2x-24)$

now, we can factor out right side term

$x^2-2x-24=x^2-6x+4x-6*4$

$x^2-2x-24=(x-6)(x+4)$

now, we can plug back

and we get

so,

$x^2y-2xy-24y=y(x-6)(x+4)$ .............Answer

5 0

2 years ago

Read 2 more answers

The chart below shows the average number of movies seen per person in selected countries. Use equal intervals to make a frequenc

NARA [144]

To make a frequency table, you will need to find the lowest and highest average number of movies.

Numbers go from 0.5 to 4.5.
And example of frequencies you could use are:

0-0.9 (1)
1-1.9(5)
2-2.9(5)
3-3.9(2)
4-4.9(1)

The frequencies are in parentheses beside the intervals.

6 0

3 years ago

Help me please with the steps on how you can find the number of solutions or zeros with these questions!

arsen [322]

Answer:

2x²+5x-9=0

using quadratic formula

a=2 b=5 c=-9

x=[-5±√5²-4(2)(-9)]/2(2)

x=[-5±√97]/4

the zeros are( -5±√97)/4

6 0

2 years ago

Which of the following is a description of the data with a correlation coefficient of 0.1?

Yuki888 [10]

A correlation coefficient of 0.1 represents a weak linear relationship.

8 0

3 years ago

Suppose the selling price of homes is skewed right with a mean of 350,000 and a standard deviation of 160000 If we record the se

lys-0071 [83]

Answer:

The distribution will be approximately normal, with mean 350,000 and standard deviation 25,298.

Step-by-step explanation:

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