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3 years ago

I dont know how to do it like how to graph the -x or the y

Mathematics

1 answer:

geniusboy [140]3 years ago

7 0

Answer:

see explanation and attachment

Step-by-step explanation:

(1) y = -x + 2

so slope is -1 and y-intercept is (0,2)

(2) 2x - y = 7

y = 2x - 7

so slope is 2 and y-intercept is (0,-7)

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James is considering buying a home priced at $104,000. If the current market

KatRina [158]

$106,000

In a buyers market, people that are buying a house can get it for a good price.
In a sellers market the person selling their house can make more.

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3 years ago

Events A and B are mutually exclusive. Suppose event A occurs with probability 0.36 and event B occurs with probability 0.31. Co

Alekssandra [29.7K]

Answer:

Events A and B are dependent

Step-by-step explanation:

If A and B are two events such as A and B are dependent then

P(A∩B) P(A) P(B)

An event A will occur with probability 0.4 that is

An event B will occur with probability 0.6 that is

The probability that both A and B will occur is 0.20 that is P(A∩B) = 0.20

Therefore,

P(A∩B) P(A) P(B)

So,

events A and B are dependent

4 0

3 years ago

Read 2 more answers

Calculate the sample variance and sample standard deviation for the following frequency distribution of heights in centimeters f

Zolol [24]

Answer:

$\bar X = \frac{\sum_{i=1}^n X_i f_i}{n}= \frac{22026.1}{171}=128.81$

$s^2 = \frac{2839948.85- \frac{(22026.1)^2}{171}}{171-1}= 16.59$

$s= \sqrt{16.587}=4.07$

Step-by-step explanation:

For this case we can calculate the sample variance and deviation with the following table

Class Midpoint (Xi) fi Xi*fi Xi^2 *fi

120.6-123.6 122.1 17 2075.7 253443

123.7-126.7 125.2 49 6134.8 768077

126.8-129.8 128.3 29 3720.7 477365.8

129.9-132.9 131.4 41 5387.4 707904.4

133.0-136.0 134.5 35 4007.5 633158.8

___________________________________________

Total 171 22026.1 2839948.85

For this case we can calculate the mean or expected value with the following formula:

$\bar X = \frac{\sum_{i=1}^n X_i f_i}{n}= \frac{22026.1}{171}=128.81$

Now we can calculate the sample variance with the following formula:

$s^2 =\frac{\sum f_i X^2_i -[\frac{(\sum X_i f_i)}{n}]^2}{n-1}$

And if we replace we got:

$s^2 = \frac{2839948.85- \frac{(22026.1)^2}{171}}{171-1}= 16.59$

And the standard deviation would be the square root of the variance and we got:

$s= \sqrt{16.59}=4.07$

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4 years ago

What is 9 x 78 Im so lazy to fo it please show the steps

torisob [31]

702 is your answer trust I can be lazy too

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3 years ago

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Janie bought 4 apples and 6 bananas. Each apple costs $0.40, and each banana costs $0.60. Enter an expression representing the t

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total cost = c

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3 years ago