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4 years ago

Why do we use variables, and what is the significance of using them in expressions and equations?

1 answer:

5 0

Variables are letters from the end of the alphabet
Economics always uses the firsts letter of whatever that letter is representing.

 An expression such as 4x3 is a variable. It can assume different values because x can assume different values.

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NEED ANSWERS ASAP PLEASE

WITCHER [35]

Answer:

the first one is 4 and 5

Step-by-step explanation:

the second one is 45 because 15+15+15 is 45, you get 15 by the square root of 225

4 0

3 years ago

Read 2 more answers

ONLY ANSWER IF YOU KNOW IT

Morgarella [4.7K]

Answer: DNE

Step-by-step explanation:

For 1 and 3

6 0

3 years ago

miss Akunina [59]

i don't know what is the questions

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3 years ago

Combine the like terms to create an equivalent expression 2r+1+(-4r)+7

tekilochka [14]

Answer:

2r+1+(-4r)+7

2r+8-4r

-2r+8<--- answer

Step-by-step explanation:

8 0

3 years ago

The manager of an automobile dealership is considering a new bonus plan designed to increase sales volume. Currently, the mean s

a_sh-v [17]

Answer:

Null Hypothesis, $H_0$ : $\mu \leq$ 14 automobiles per month

Alternate Hypothesis, $H_a$ : $\mu$ > 14 automobiles per month

Step-by-step explanation:

We are given that the manager of an automobile dealership is considering a new bonus plan designed to increase sales volume. Currently, the mean sales volume is 14 automobiles per month.

The manager wants to conduct a research study to see whether the new bonus plan increases sales volume.

Let $\mu$ = population mean sales volume after the new bonus plan

So, Null Hypothesis, $H_0$ : $\mu \leq$ 14 automobiles per month

Alternate Hypothesis, $H_a$ : $\mu$ > 14 automobiles per month

Here, null hypothesis states that the new bonus plan does not increase the sales volume as the sales is less than or equal to 14 automobiles per month.

And alternate hypothesis states that the new bonus plan increases the sales volume as the sales is more than 14 automobiles per month.

Now, conclusion on when the null hypothesis ( $H_0$ ) can be rejected and when it cannot be rejected is based on two perspectives;

From test statistics point of view;

If the test statistics is more than the critical value of any respective distribution, then we will reject our null hypothesis.

If the test statistics is less than the critical value of any respective distribution, then we cannot reject our null hypothesis.

2. From P-value point of view;

If the p-value of the test statistics is more than level of significance ( $\alpha$ ), then we will not reject our null hypothesis.

If the p-value of the test statistics is less than level of significance ( $\alpha$ ), then we will reject our null hypothesis.

4 0

3 years ago