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svet-max [94.6K]
2 years ago
9

Is this correct if not then can u please help me

Mathematics
2 answers:
den301095 [7]2 years ago
8 0

Answer:

It seems that you are correct sire :)

Mark brainliest pls :)

o-na [289]2 years ago
3 0

Answer:

Yup you got it right!

Step-by-step explanation:

Simplify the following:

5 (m + 2) + 9 (n + 4)

5 (m + 2) = 5 m + 10:

10 + 5 m + 9 (n + 4)

9 (n + 4) = 9 n + 36:

10 + 5 m + 36 + 9 n

Grouping like terms, 10 + 5 m + 36 + 9 n = 9 n + 5 m + (10 + 36):

9 n + 5 m + (10 + 36)

| 3 | 6

+ | 1 | 0

| 4 | 6:

Answer: 9 n + 5 m + 46

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Using quadratic form 6x^2-8x+3=0
LenaWriter [7]

x=8+sqrt-8/12, x=8-sqrt-8/12

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3 years ago
Pleaseee help me!!! I need the answer!
lora16 [44]
I don’t know how to
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3 years ago
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Which linear equation has no solution? 5x+12=5x−7
soldier1979 [14.2K]

Answer:

Trying to solve this leads to an absurdity, so No Solution.

Step-by-step explanation:

5x+12=5x−7

Lets attempt to solve:

Subtract 5x from both sides

5x - 5x + 12 = 5x - 5x - 7

0 + 12 = 0 - 7

12 = -7

This is absurd so there is no solution.

6 0
3 years ago
A personnel manager is concerned about absenteeism. She decides to sample employee records to determine if absenteeism is distri
nlexa [21]

Answer:

df=categor-1=6-1=5

The critical value can be founded with the following Excel formula:

=CHISQ.INV(1-0.05,5)

And we got \chi^2_{critc}= 11.0705

a. 11.070

And since our calculated value is lower than the critical we FAIL to reject the null hypothesis at 5% of significance

Step-by-step explanation:

Previous concepts

A chi-square goodness of fit test "determines if a sample data matches a population".

A chi-square test for independence "compares two variables in a contingency table to see if they are related. In a more general sense, it tests to see whether distributions of categorical variables differ from each another".

Solution to the problem

For this case we want to test:

H0: Absenteeism is distributed evenly throughout the week

H1: Absenteeism is NOT distributed evenly throughout the week

We have the following data:

Monday  Tuesday  Wednesday Thursday Friday Saturday    Total

 12             9                 11                 10           9            9              60

The level of significance assumed for this case is \alpha=0.05

The statistic to check the hypothesis is given by:

\sum_{i=1}^n \frac{(O_i -E_i)^2}{E_i}

The table given represent the observed values, we just need to calculate the expected values with the following formula E_i = \frac{60}{6}= 10 and the expected value is the same for all the days since that's what we want to test.

now we can calculate the statistic:

\chi^2 = \frac{(12-10)^2}{10}+\frac{(9-10)^2}{10}+\frac{(11-10)^2}{10}+\frac{(10-10)^2}{10}+\frac{(9-10)^2}{10}+\frac{(9-10)^2}{10}=0.8

Now we can calculate the degrees of freedom (We know that we have 6 categories since we have information for 6 different days) for the statistic given by:

df=categor-1=6-1=5

The critical value can be founded with the following Excel formula:

=CHISQ.INV(1-0.05,5)

And we got \chi^2_{critc}= 11.0705

a. 11.070

And since our calculated value is lower than the critical we FAIL to reject the null hypothesis at 5% of significance

4 0
3 years ago
45% of 40 is 18% of what number?
alexandr1967 [171]
So 45% OF 40 is 
45% * 40 
0.45 * 40
that is 18

18 is 18% of what number?
18 = 18% * x
18 = 0.18 * x
divide both sides by 0.18
100 = x
45 % of 40, which is 18, and is 18% of 100.

Hope this helps
3 0
3 years ago
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