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olya-2409 [2.1K]
3 years ago
11

How do you work this problem 2.5÷ 4

Mathematics
1 answer:
lord [1]3 years ago
8 0

Using a calculator can help. You get 0.625, or 5/8.

You might be interested in
8. What is the 10th term of the geometric sequence
kkurt [141]

Answer:

n=10

a10= - 3 (2)^(10-1)= -3(2)^9

= -1536

6 0
2 years ago
How do I solve the Question​
Mandarinka [93]

Answer:

subtract 200

Step-by-step explanation:

5 0
2 years ago
Read 2 more answers
12 of the 28 dogs at the shelter are purebred what percent of the dogs are pure breed?HELP!
harina [27]

Answer:

57.142%

Step-by-step explanation:

28-12=16

16/28*100=57.142%

3 0
3 years ago
SOMEONE HELP ASAPPPP PLEASEEE,PLEASE EXPLAIN HOW U GOT YOUR ANSWER, I NEED AN EXPLANATION IN ORDER TO COMPLETE THIS! NO LINKS OR
slega [8]

Answer:

1)

A)

We must use the formula b x h/2  12 x 8/2 = 48    

A=48

B)

We must use the formula 1/2a root c squared - a squared

Solving and substituing will get you 35.78

2)

A)

We must divide 81 by 2 to get 9. Since this is a square, all sides will be 9. Then, we must add 9 four times to get 36 cm as our perimeter

B) If we draw the square with a diagonal line, we can understand that the diagonal line (hypotenus) is  s root 2.

3) The formula for this area of a triangle is h x b/2. We must substitute the numbers to get our answer:

h x b /2 = 10 x 20/2 = 200/2 = 100

AREA IS 100cm squared

Step-by-step explanation:

5 0
2 years ago
20. What do you think would happen to the variability (standard deviation) of the distribution of sample proportions if the samp
Naya [18.7K]

Answer:

Step-by-step explanation:

Sample proportion p is the proportion of favourable numbers to total number in the sample

By central limit theorem and also approximation of binomial to normal , we have sample proportion for large number of samples will be normal

with mean = sample proportion

and std deviation = \sqrt{\frac{pq}{n} }

Thus we find standard deviation of proportion sample is inversely proportional to the square of the sample size n.

It follows automatically that as sample size increases std deviation decreases.

Here from 80 sample size was made to 200

So std deviation would decrease automatically

4 0
2 years ago
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