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alina1380 [7]
3 years ago
9

I NEED HELP PLEASE!!!

Mathematics
1 answer:
rewona [7]3 years ago
3 0
Hopefully this helps! :)

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Explain step by step.
docker41 [41]

Answer:

use math w a y for that its easier and it will give you the right answer

3 0
2 years ago
What is the equation of a line that passes through the points `\left(-2\ ,\ 9\right)`and `\left(-4\ ,\ -4\right)`?
Dennis_Churaev [7]

Answer:

y=(5/2)x+14

Use the slope formula and slope-intercept form y=mx+b to find the equation

3 0
2 years ago
Julie and Brian are financing $245,000 to purchase a house. they obtained a 30/5 balloon mortgage at 5.25%. What will their ball
balandron [24]
This question had the following choices:
<span>A) $223,884.91
B) $226,753.98
C) $229,679.66
D) $234,068.73</span>

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For manual computation, use this formula in the 2nd attachment.

6 0
3 years ago
Evaluate and find the answer to the problem
pogonyaev

Answer:

13

Step-by-step explanation:

3y + 6 ÷ 2x = 3(4) + 6 ÷ 2(3) = 12 + (6 ÷ 6) = 12 + 1 = 13

8 0
3 years ago
The following shows the monthly sales in units of six salespersons before and after a bonus plan was introduced. At 95% confiden
Anarel [89]

Answer:

Since the calculated value of t= 2.249 does not  falls in the rejection region we therefore accept  the null hypothesis at 5 % significance level . On the basis of this we conclude that the  bonus plan has not  increased sales significantly.

Step-by-step explanation:

The null and alternative hypotheses as

H0: μd=0    Ha: μd≠0

Significance level is set at ∝= 0.05

n= 6

degrees of freedom = df = 6-1 = 5

The critical region is t  ( base alpha by 2 with df=5) ≥ ± 2.571

The test statistic under H0 is

t = d/ sd/ √n

Which has t distribution with n-1 degrees of freedom

Sales                                      Difference

Person      After      Before   d = after - before      d²

1                   94          90                4                      16

2                  82          84               -2                       4

3                  90          84               6                       36

4                  76           70               6                       36

5                  79           80               -1                        1

<u>6                  85          80                 5                       25   </u>

∑                                                       18                   118

d`= ∑d/n= 18/6= 3

sd²= 1/6( 118- 18²/6) = 1/6 ( 118 - 54) = 10.67

sd= 3.266

t= 3/ 3.266/ √6

t= 2.249

Since the calculated value of t= 2.249 does not  falls in the rejection region we therefore accept  the null hypothesis at 5 % significance level . On the basis of this we conclude that the  bonus plan has not  increased sales significantly.

7 0
3 years ago
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