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Ray Of Light [21]
3 years ago
7

Find the difference : 1 - 0.4308 PLEEASE ANSWER WILL MARK BRAINLIEST PLEASE ANSWER

Mathematics
1 answer:
tiny-mole [99]3 years ago
4 0

Answe - 0. 5692

Step-by-step explanation:

the step is only to let 1 be 10000 and then subtract 4308 from 10000 and it u have any confusion then u can also check it by adding the answer with 4308

and that's it.

If u think it's helpful then plz share to ur friends too.

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HELP QUICK PLEASE
Ierofanga [76]

Answer:

Dis the correct answer

3 0
3 years ago
Wirte a decimal for each of the following 9x100+2x10+3x0.1+7x0.001
borishaifa [10]

We need to perform multiplication and addition property for this problem to represent the final result in decimal form. So, the expression is,

9x100+2x10+3x0.1+7x0.001 .

Now 9 x 100= 900

2 x= 10= 20

3x0.1= 0.3

7x 0.001=0.007

Now we can all the numbers. Hence,

900+20+0.3+0.007=920.307

So, the decimal number is 930.307.

4 0
3 years ago
The correlation between the height and weight of children aged 6 to 9 is found to be about r = 0.8. Suppose we use the height x
Andrew [12]

Answer:

r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2 -(\sum x)^2][n\sum y^2 -(\sum y)^2]}}

The value of r is always between -1 \leq r \leq 1

And we have another measure related to the correlation coefficient called the R square and this value measures the % of variance explained between the two variables of interest, and for this case we have:

r^2 = 0.8^2 = 0.64

So then the best conclusion for this case would be:

c. the fraction of variation in weights explained by the least-squares regression line of weight on height is 0.64.

Step-by-step explanation:

For this case we know that the correlation between the height and weight of children aged 6 to 9 is found to be about r = 0.8. And we know that we use the height x of a child to predict the weight y of the child

We need to rememeber that the correlation is a measure of dispersion of the data and is given by this formula:

r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2 -(\sum x)^2][n\sum y^2 -(\sum y)^2]}}

The value of r is always between -1 \leq r \leq 1

And we have another measure related to the correlation coefficient called the R square and this value measures the % of variance explained between the two variables of interest, and for this case we have:

r^2 = 0.8^2 = 0.64

So then the best conclusion for this case would be:

c. the fraction of variation in weights explained by the least-squares regression line of weight on height is 0.64.

3 0
3 years ago
What are the intercepts of –3x + 5y – 2z = 60? (–3, 0, 0), (0, 5, 0), (0, 0, –2) (–180, 0, 0), (0, 300, 0), (0, 0, –120) (–20, 0
matrenka [14]

Answer:

(-20, 0, 0)

(0, 12, 0)

(0, 0, -30)

8 0
3 years ago
Read 2 more answers
Evan used base-10 blocks to model the product of 3 and 0.51.
Lilit [14]

Base 10 blocks are used to perform arithmetic operations.

To model the product of 3 and 0.51, Evan needs <em>3 copies of 5 tenths and 1 hundredths.</em>

The expression can be represented as:

\mathbf{3 \times 0.51}

Express 0.51 as 0.5 + 0.01

\mathbf{3 \times 0.51 = 3 \times (0.5 + 0.01)}

  • 0.5 means 5 tenths
  • 0.01 means 1 hundredths
  • 3 means that, the above blocks are needed in three places.

Hence, Evan needs <em>3 copies of 5 tenths and 1 hundredths.</em>

<em />

<em />

Read more about base 10 blocks at:

brainly.com/question/7621712

8 0
3 years ago
Read 2 more answers
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