Which representations shows a proportional linear relationship between x and y?

Gala2k [10]

A good way to think about this is take the phrase "miles in hours" from the question. You are given "560 miles in 10 hours" and what you need to figure out is "X miles in 1 hours." To go from 10 hours to 1 hour, you divide by 10. So you also want to divide miles by 10 to keep everything consistent. 560/10 = 56 miles.

<h3>The answer is 56 miles.</h3>

7 0

2 years ago

7. A computer company that recently developed a new software product wanted to estimate the mean time taken to learn how to use

Ulleksa [173]

Answer:

What company

Step-by-step explanation:

3 0

2 years ago

Jeffrey is going to charge an initial fee for mowing lawns of $10 and then wants to charge an hourly rate. If he knows that he w

astraxan [27]

The answer would be B.) $15 because for the total charge of $40 you need to subtract the initial fee of $10 and then divide the remainder by 2 since it takes him 2 hours. 40-10/2 = 30/2 = $15 (USA testprep)

7 0

3 years ago

Read 2 more answers

Which of the following is equal to 9•4

Black_prince [1.1K]

The answer to the questing is 36

5 0

2 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