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4 years ago

15

Complete the statement. [Type your answer as a number.] 8 pounds × 16 ounces =

1 answer:

Sliva [168]4 years ago

8 0

Answer

2048 ounces

Step-by-step explanation:

Because a pound= 16 ounces we times 8 by 16 to get ounces, then once we get how many ounces we can then times it by 16. Thus we get the answer 2048 ounces or if you want the answer in pounds we divide the number by 16 which gives us the answer 256 pounds.

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In a statewide lottery, one can buy a ticket for $1. With probability .0000001, one wins a million dollars ($1,000,000), and wit

Dahasolnce [82]

Using the expected value, it is found that the mean of the distribution equals $0.1.

The expected value, which is the mean of the distribution, is given by <u>each outcome multiplied by it's probability</u>.

The probabilities of <u>each outcome</u> are:

.0000001 probability of earning $1,000,000.
.9999999 probability of earning $0.

Thus, the mean is given by:

$E(Y) = 0.0000001(1000000) + 0.9999999(0) = 0.1$

Thus showing that the expected value is $0.1.

A similar problem is given at brainly.com/question/24855677

6 0

3 years ago

May someone help me with this problem? Thank you!

Aleks04 [339]

$\qquad\qquad\huge\underline{{\sf Answer}}$

Let's find the value of given expression for x = 5 ~

$\qquad \sf \dashrightarrow \:3(3x + 5)$

$\qquad \sf \dashrightarrow \:9x + 15$

now, plug in the value of x as 5

$\qquad \sf \dashrightarrow \:9(5) + 15$

$\qquad \sf \dashrightarrow \:45 + 15$

$\qquad \sf \dashrightarrow \:60$

so, the equivalent value is 60

6 0

2 years ago

Read 2 more answers

A travelling salesman sells milkshake mixing machines and on average sells 8.4 machines per month. He needs to sell at least 3 m

klio [65]

Answer:

P(X<3) = 0.01004

Step-by-step explanation:

From the given information:

Consider the application of Poisson distribution $P(X = x ) = \dfrac{e^{-\lambda} \lambda ^x}{x!}$ with the parameter $\lambda = 8.4$ ;

Therefore, we can calculate the required probability as follows:

P(X< 3) = P(X = 0) + P(X = 1) + P(X =2)

$P(X< 3) = \dfrac{e^{-8.4} 8.4^0}{0!} + \dfrac{e^{-8.4} 8.4^1}{1!} + \dfrac{e^{-8.4} 8.4^2}{2!}$

$P(X< 3) =e^{-8.4}( 1 + 8.4+35.28)$

P(X<3) = 0.01004

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3 years ago

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photoshop1234 [79]

There are plenty numbers but 25 & 27

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3 years ago

6. If four numbers are in proportion, then the terms equals the product of<br>

snow_tiger [21]

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2 years ago