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Anna007 [38]
3 years ago
14

Function not a function ?

Mathematics
1 answer:
luda_lava [24]3 years ago
3 0

Answer:

not a function

Step-by-step explanation:

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A total of $228,000 will be evenly spent to renovate 24 apartments. If the first 10 apartments have been completed and paid for,
tigry1 [53]

Step-by-step explanation:

Step 1: <em>Calculate per apartment;</em>

<em>⟼</em> 228,000 ÷ 24

⟼ 9,500

Step 2: <em>Multiply the price per apartment by 10;</em>

⟼ 9,500 × 10

⟼ 95,000

Step 3: <em>Substract the amount of 10 apartments from 24 apartments.</em>

<em>⟼</em><em> </em>228,000 - 95,000

⟼ 133,000

<u>Therefore, </u>$133,000 is still available for the remaining apartments.

5 0
2 years ago
What is the greatest common factor of 12, 36, 18????
Gekata [30.6K]

Answer:

6

Step-by-step explanation:

8 0
3 years ago
Check my work:<br><br><br> Does it x = -4?
Ne4ueva [31]
The equation given in the question is
(5x + 2)/2 = 2x - 1
5x + 2 = 2(2x - 1)
5x + 2 = 4x - 2
5x - 4x = - 2 - 2
x = -4
So the value of the unknown variable comes out to be -4. Yes your calculation is correct it seems from the answer that you have given. I hope i have been able to help you in this regard.Only be careful about the cross multiplication part.
3 0
3 years ago
Please answer<br><br><br>show working out please!!!!!!!!
Nikitich [7]
It's as easy as I solved it

7 0
3 years ago
Read 2 more answers
What do the chi-square test for independence, the Pearson correlation, and simple linear regressions all have in common
Diano4ka-milaya [45]

Answer:

They all test relationship when it involves two variables

Explanation:

All of the statistical methods listed above all measure the relationship between two variables.

The Chi Square test tests the relationship between two nominal/categorical variable groups.

The Pearson correlation test tests relationship between two continuous variables using the Pearson correlation coefficient to determine statistical relationship between them.

The simple linear regression measures relationship between two variables: dependent/response variable and independent/explanatory variable, to see if a relationship exists between by way of influence of the independent variable on the dependent variable.

7 0
2 years ago
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