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4 years ago

6

What is 1400 + 20 + 5

2 answers:

VARVARA [1.3K]4 years ago

6 0

The number is 1,425 your welcome

ExtremeBDS [4]4 years ago

6 0

The answer is 1425

1400 + 20 = 1420

Now add 1,420 + 5 and you get ...

1,425, yay!

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0.375 as a fraction

creativ13 [48]

0.375

= 375 /1000. Cancel out using 25

= 15 / 40 Cancel out using 5

= 3 / 8

7 0

3 years ago

Read 2 more answers

Whole number that’s is bigger than 1000 but smaller than 1100

svetlana [45]

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5 0

3 years ago

Kinda ned some help how do i solve this problem

Harrizon [31]

So we know that the area of only the pool is 198 ft^2. To find the area of the entire yard, multiply length times width so:

Area of yard = 22 ft x 30 ft
Area of yard = 660 ft^2

Now subtract the pool area from the yard area:

660 - 198 = 462

So the area of only the yard is 462 ft^2

Hope this helps!!

6 0

3 years ago

Whats 2/3x+3/7=1-4/7x

Juliette [100K]

Answer:

$x=6/13$

Step-by-step explanation:

So we have:

$\frac{2}{3}x+\frac{3}{7}=1-\frac{4}{7}x$

Remove all the fractions to make things simpler. To do so, we can multiply by the LCM of the denominators.

The denominators are 3 and 7.

The LCM of 3 and 7 is 21. Thus, multiply everything by 21:

$21(\frac{2}{3}x+\frac{3}{7})=21(1-\frac{4}{7}x)$

Distribute:

$\frac{42}{3}x+\frac{63}{7}=21-\frac{84}{7}x$

Simplify the fractions:

$14x+9=21-12x$

Add 12x to both sides:

$26x+9=21$

Subtract 9 from both sides:

$26x=12$

Divide both sides by 26:

$x=12/26$

Reduce:

$x=6/13$

And that's our answer :)

5 0

3 years ago

Read 2 more answers

A survey of households in a small town showed that in 850 of 1,200 sampled households, at least one member attended a town meeti

Iteru [2.4K]

Answer:

Hence the confidence interval is ( 0.6745, 0.7422).

Step-by-step explanation:

Now the given are

Sample size = n = 1200

x = 850

Sample proportion is

$\hat{p}=\frac{x}{n}=\frac{850}{1200}=0.7083$

We have to construct 99% confidence interval for the population proportion.

Formula Used:

$(\hat{p}-E , \hat{p}+E)$

Here E is a margin of error.

$E =Zc\times\sqrt{\frac{\hat{p}(1-\hat{p})}{n}}$

Zc = 2.58

$E =2.58\times\sqrt{\frac{0.7083*(1-0.7083)}{1200}}\\\\E=2.58\times\sqrt{0.000172}=0.0339$

So confidence interval is ( 0.7083 - 0.0339 , 0.7083 + 0.0339)

= ( 0.6745 , 0.7422).

3 0

3 years ago