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3 years ago

I NEED HELP plz i will pay u 15 points if u help meeee

Mathematics

2 answers:

Arlecino [84]3 years ago

8 0

Answer:

1. 9/10

2. 14/15

3. 1 1 /6 or 7/6

Step-by-step explanation:

1. Change the 5, the denominator to 10. 8/10

then add to 1/10 8/10 + 1/10= 9/10

2. Change both denimnators to 15. You will then get 9/15 and 5/15.

Add them together and get 14/15

3. Change both denominators to 6 and you will get 3/6 and 4/6.

Add them together to get 7/6.

If you want to make it into a mixed fraction it would be 1 1/6 (as in one and one-sixth)

Soloha48 [4]3 years ago

3 0

Answer:

1. 9/10

2. 14/15

3. 7/6 or 1 1/6

Step-by-step explanation:

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I added the plots in the attachments.

Answer:

The mean will decrease

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Explanation:

1- checking the mean:

Mean of the salaries is calculated as follows:

$Mean = \frac{sum-of-salaries}{number-of-employees}$

Now, we can note that two parameters affect the mean, let's consider each:

a. Number of employees:

We are given that one employee is replaced with another. This means that the number of employees did not change

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We are given that a person earning $15 left and the new person earns $7. This means that:

New sum of salaries = old sum of salaries - 15 + 7 = old sum of salaries - 8

This means that the sum of salaries decreased by 8

Now, for the mean:

We can conclude that since the numerator decreased while the denominator stayed the same, the mean will decrease

2- checking the median:

In the whisker plots, the median is represented by the vertical line inside the plot.

In the first plot, we can note that the vertical line is nearly half the distance between 9 and 10. This means that, for the first plot, the median is approximately 9.5

In the second plot, the place of the median is unchanged. It is still approximately midway between 9 and 10 which means that the median in the second plot is approximately 9.5

Therefore, the median of the data remains unchanged.

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3 years ago

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Answer:

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Step-by-step explanation:

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Basically, the analysis of variance (ANOVA) procedure is typically used as a statistical tool to determine whether or not the mean of two or more populations are equal through the use of null hypothesis or a F-test.

Hence, the null hypothesis for an ANOVA is that all treatments or samples come from populations with the same mean. The alternative hypothesis is best stated as at least one of the population means is different from the others.

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