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3 years ago

Convert 20 ounces into pounds. there are 16 ounces in one pound. round answers to the nearest hundredth.

1 answer:

5 0

The answer is: " 320 oz. " .
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Note:
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20 lb. * (16 oz./ lb.) = (20 * 16) oz. = 320 oz.
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HELP ME PLSSS ASAP!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

Jobisdone [24]

Answer:

The question confused me a bit because of the different numbers.

The answer would be

w(2 * 18), which would be the same as choice a if the numbers weren't different.

Step-by-step explanation:

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3 years ago

The value of the z-scores in a hypothesis test is influenced by a variety of factors. Assuming that all other variables are held

7nadin3 [17]

Answer:

Explained below.

Step-by-step explanation:

The z-test statistic is given as follows:

$Z=\frac{\bar X-\mu}{\sigma/\sqrt{n}}$

Here,

$\bar X=\text{Sample Mean}\\\\\mu=\text{Population Mean}\\\\\sigma=\text{Population standard deviation}\\\\n=\text{Sample size}$

The p-value is well-defined as per the probability, [under the null-hypothesis (H₀)], of attaining a result equivalent to or greater than what was the truly observed value of the test statistic.

(i)

The difference between the sample mean and the original population mean are directly proportional to the z-test statistic.

So, increasing the difference between $\bar X$ and $\mu$ will lead to an increase in the z-score.

And as the Z-score increases the p-value of the test decreases.

Thus, the complete statement is:

"Increasing the difference between the sample mean and the original population mean will result in an increase in the absolute value of z, and a decrease in the probability of obtaining a sample with that mean."

(ii)

The population standard deviation is inversely proportional to the z-test statistic.

So, increasing the population standard deviation will lead to a decrease in the z-score.

And as the Z-score decreases the p-value of the test increases.

Thus, the complete statement is:

"Increasing the population standard deviation will result in a decrease in the absolute value of z, and an increase in the probability of obtaining a sample with that mean"

(iii)

The number of scores in the sample is directly proportional to the z-test statistic.

So, increasing the number of scores in the sample will lead to an increase in the z-score.

And as the Z-score increases the p-value of the test decreases.

Thus, the complete statement is:

"Increasing the number of scores in the sample will result in an increase in the absolute value of z, and an decrease in the probability of obtaining a sample with that mean."

3 0

3 years ago

Solve the following a) 2x + 3) = x-4

Virty [35]

Answer:

x=-7

Step-by-step explanation:

2x+3=x-4

2x-x=-4-3

x=-7

8 0

2 years ago

Arrange the four numbers shown greatest to least -1.25, -3/10, 1 2/5, -0.03

Goshia [24]

Answer:

−1.25, −310, -0.03, 125

Step-by-step explanation:

8 0

2 years ago

Read 2 more answers

What is the probability of randomly choosing a permutation of the 10 digits 0, 1, 2, . . . , 9 in which (a) an odd digit is in t

inysia [295]

The first digit is one of {1, 3, 5, 7, 9}, and the last digit is one of {1, 2, 3, 4, 5}.

If the first digit is one of {1, 3, 5} (3 choices), then the last digit is one of {1, 2, 3, 4, 5} minus whatever is picked for the first digit (4 choices, and the remaining eight digits can be arranged in 8! ways, so there are 12*8! possible permutations.

If the first digit is one of {7, 9} (2 choices, then the last digit is one of {1, 2, 3, 4, 5} (5 choices), and again there are 8! ways of arranging the remaining digits, so there are 10*8! possible permutations.

Then the total number of permutations that fit the criteria is 12*8! + 10*8! = 22*8!. There are 10! total permutations that can be made overall, so the probability of randomly picking one we want is

$\dfrac{22\cdot8!}{10!}=\dfrac{22}{10\cdot9}=\boxed{\dfrac{11}{45}}$

7 0

3 years ago