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2 years ago

What is the answer to(-12)÷6+2

2 answers:

8 0

In order of operation, you must do division before addition. Therefore, you first step would be to divide -12 by 6. That would equal -2. Then you would add 2 to -2 which would be 0 because the positive 2 cancels out the -2. Your answer is 0.

lozanna [386]2 years ago

5 0

First divide -12 and 6
you should get -2.
now add that to 2.
-2 + 2 is 0

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Is the first number a multiple of the second? 56, 8:

daser333 [38]

Answer:

Step-by-step explanation:

no bc 8 is a multiple of 56, not 56 a multiple of 8

if you could subscribe to my friend penny_pg3d on YT that would be great!

5 0

2 years ago

A tip in a restaurant has been typically figured at 15% of the total bill.

Anastasy [175]

Answer:

4.5 dollars (before tax id assume)

5 0

2 years ago

I am very confused, if somebody could help me it would mean alot. :)

Yuliya22 [10]

Answer:

3n+7=16

Step-by-step explanation:

3(3)+7=16

9+7=16

16=16

The second one is wrong(x=18)

8 0

2 years ago

A random sample of 12 supermarkets from Region 1 had mean sales of 84 with a standard deviation of 6.6. A random sample of 17 su

Sladkaya [172]

Answer:

We conclude that there is no difference in potential mean sales per market in Region 1 and 2.

Step-by-step explanation:

We are given that a random sample of 12 supermarkets from Region 1 had mean sales of 84 with a standard deviation of 6.6.

A random sample of 17 supermarkets from Region 2 had a mean sales of 78.3 with a standard deviation of 8.5.

Let $\mu_1$ = mean sales per market in Region 1.

$\mu_2$ = mean sales per market in Region 2.

So, Null Hypothesis, $H_0$ : $\mu_1-\mu_2$ = 0 {means that there is no difference in potential mean sales per market in Region 1 and 2}

Alternate Hypothesis, $H_A$ : > $\mu_1-\mu_2\neq$ 0 {means that there is a difference in potential mean sales per market in Region 1 and 2}

The test statistics that will be used here is Two-sample t-test statistics because we don't know about population standard deviations;

T.S. = $\frac{(\bar X_1 -\bar X_2)-(\mu_1-\mu_2)}{s_p \times \sqrt{\frac{1}{n_1}+ {\frac{1}{n_2}}} }$ ~ $t__n_1_+_n_2_-_2$

where, $\bar X_1$ = sample mean sales in Region 1 = 84

$\bar X_2$ = sample mean sales in Region 2 = 78.3

$s_1$ = sample standard deviation of sales in Region 1 = 6.6

$s_2$ = sample standard deviation of sales in Region 2 = 8.5

$n_1$ = sample of supermarkets from Region 1 = 12

$n_2$ = sample of supermarkets from Region 2 = 17

Also, $s_p=\sqrt{\frac{(n_1-1)\times s_1^{2}+(n_2-1)\times s_2^{2} }{n_1+n_2-2} }$ = $s_p=\sqrt{\frac{(12-1)\times 6.6^{2}+(17-1)\times 8.5^{2} }{12+17-2} }$ = 7.782

So, the test statistics = $\frac{(84-78.3)-(0)}{7.782 \times \sqrt{\frac{1}{12}+ {\frac{1}{17}}} }$ ~ $t_2_7$

= 1.943

The value of t-test statistics is 1.943.

Now, at a 0.02 level of significance, the t table gives a critical value of -2.472 and 2.473 at 27 degrees of freedom for the two-tailed test.

Since the value of our test statistics lies within the range of critical values of t, so we have insufficient evidence to reject our null hypothesis as it will not fall in the rejection region.

Therefore, we conclude that there is no difference in potential mean sales per market in Region 1 and 2.

6 0

3 years ago

Jenny made $315.25 for 8 hours of work. How much would Jenny make for 40 hours of work

bagirrra123 [75]

If Jenny made $315.25 for 8 hours of work:

Then it means that she made:
$312.25/8 hours = $39.41 per hour.

If Jenny works for 40 hours, then she will make:

40 hours × $39.41 = $1,576.25

Please mark my answers as the Brainliest if you find my explanations/solution helpful :)

6 0

2 years ago