Ask question

Ask question

All categories

Varvara68 [4.7K]

3 years ago

6

Last week, meg bought 1 3/4 pounds of fruit at the market. this week, she buys 4 times as many pounds of fruit as last week. in

pounds, how much fruit does meg buy this week?

1 answer:

Sonbull [250]3 years ago

3 0

1 3/4 x 4 = 7

She buy 7 pounds of fruit this week

You might be interested in

Gabby bought a backpack and 3 notebooks for $40.66. What is the total price, including an 8% sales tax

Harrizon [31]

Answer: $43.91

Explanation

3 0

3 years ago

Explain how to graph information from the table

Lisa [10]

The table gives you x and y coordinates. The graph has an x and y axis. Your x coordinates are paired with your y coordinates. Remember to always start at the origin, when plotting your points. For example, if the table gave you 2 for x and 3 for y. You would go 2 units across and 3 units up. Then, plot that point. Continue plotting the points and then if it's a linear graph, make a line with a ruler going through the points.

6 0

3 years ago

Read 2 more answers

. Let X and Y be random variables of possible percent returns (0%, 10%,

bazaltina [42]

(a) The marginal distribution of <em>X</em> is

Pr(<em>X</em> = <em>x</em>) = ∑ Pr(<em>X</em> = <em>x</em>, <em>Y</em> = <em>y</em>)

… = 0.0625 + 0.0625 + 0.0625 + 0.0625

… = 0.25

That is, the first equality follows from the law of total probability, with the sum taken over <em>y</em> from {0, 5, 10, 15}. Each probability Pr(<em>X</em> = <em>x</em>, <em>Y</em> = <em>y</em>) is given in the table to be 0.0625.

Similarly, the marginal distribution of <em>Y</em> is

Pr(<em>Y</em> = <em>y</em>) = 0.25

(b) Yes, they're independent because

Pr(<em>X</em> = <em>x</em>, <em>Y</em> = <em>y</em>) = 0.0625,

and

Pr(<em>X</em> = <em>x</em>) Pr(<em>Y</em> = <em>y</em>) = 0.25 • 0.25 = 0.0625.

(c) The mean of <em>X</em> is

E[<em>X</em>] = ∑ <em>x</em> Pr(<em>X</em> = <em>x</em>)

… = 0.25 ∑ <em>x</em>

<em>… </em>= 0.25 (0 + 5 + 10 + 15)

… = 7.5

and you would find the same mean for <em>Y</em>,

E[<em>Y</em>] = 7.5

The variance of <em>X</em> is

V[<em>X</em>] = E[<em>X</em>^2] - E[<em>X</em>]^2

… = (∑ <em>x</em>^2 Pr(<em>X</em> = <em>x</em>)) - 7.5^2

… = 0.25 (∑ <em>x</em>^2) - 56.25

… = 0.25 (0^2 + 5^2 + 10^2 + 15^2) - 56.25

… = 31.25

and similarly,

V[<em>Y</em>] = 31.25

(each sum is taken with <em>x</em> and <em>y</em> from {0, 5, 10, 15})

7 0

3 years ago

If Johnny has 800 socks and John has 1000 more socks then Johnny how many socks do John has

melomori [17]

1,800 socks

Johnny has 800 and John has 1000 more, so you would add the two numbers to get the answer of 1,800 socks.

8 0

3 years ago

What is the functions average rate of change over each interval?

telo118 [61]

we can use average rate of change formula

$\frac{f(b)-f(a)}{b-a}$

(a) x = -3 to x = -2

Firstly, we will find points

(-3, 0) and (-2,2)

now, we can plug these values into formula

and we get

$=\frac{2-0}{-2+3}$

$=2$

(b)x = -2 to x =1

Firstly, we will find points

(-2,2) and (1,-4)

now, we can plug these values into formula

and we get

$=\frac{-4-2}{1+2}$

$=-2$

(c) x = 0 to x =1

Firstly, we will find points

(0,-3) and (1,-4)

now, we can plug these values into formula

and we get

$=\frac{-4+3}{1-0}$

$=-1$

(d) x = 1 to x =2

Firstly, we will find points

(1,-4) and (2,0)

now, we can plug these values into formula

and we get

$=\frac{0+4}{2-1}$

$=4$

(e) x = -1 to x =0

Firstly, we will find points

(-1,0) and (0,-3)

now, we can plug these values into formula

and we get

$=\frac{-3-0}{0+1}$

$=-3$

(f) x = -1 to x =2

Firstly, we will find points

(-1,0) and (2,0)

now, we can plug these values into formula

and we get

$=\frac{0-0}{2+1}$

$=0$

3 0

3 years ago