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kifflom [539]
3 years ago
11

Select the correct answer.

Mathematics
1 answer:
Katena32 [7]3 years ago
3 0
I don’t know I can’t see you right away
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What decimal is equivalent to 4/5 + 0.05
UNO [17]
To answer this we will add, but before we add we will change 4/5 in to a decimal. to change ANY fraction into a decimal we have to divide the numerator by the denominator. lets do it:- 

4/5 
4 ÷ 5 = 0.8

Now lets substitute 0.8 for 4/5 and then add.

4/5 + 0.05
0.8 + 0.05 = 0.85

CHECK OUR WORK:-

0.85 - 0.8 = 0.05
We were RIGHT!!

So, the decimal 0.85 is equivalent to 4/5 + 0.05.

Hope I helped ya!! xD 
3 0
3 years ago
Which number is a factor of 84?
Blababa [14]

Answer:

3

Step-by-step explanation:

Factors of 84 : 1, 2, 3, 4, 6, 7, 12, 14, 21, 28, 42 and 84.

6 0
3 years ago
Read 2 more answers
Please help!!!!!! ill give you brainliest!
olga2289 [7]

Answer:

The team made x<u><</u>53 points total.

Step-by-step explanation:

1/4+1/10 is 7/20 or 0.35 in decimal form. If they both together scored 21 points then you can add another 7/20 (21 points) and have 14/20 (42 points). You have 6/20 more left. If you can solve what 1/20 could be then you would find the answer. Does this helps?

3 0
3 years ago
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Which statements are true for the following expression?<br> 13 · (2 + 9)
Komok [63]

Answer:

13×11

143 ..

what are the statements?

8 0
3 years ago
Suppose 12% of students are veterans. From a sample of 263 students, how unusual would it be to have less than 22 veterans?
kkurt [141]

Answer:

Yes, both np and n(1-p) are ≥ 10

Mean = 0.12 ; Standard deviation = 0.02004

Yes. There is a less than 5% chance of this happening by random variation. 0.034839

Step-by-step explanation:

Given that :

p = 12% = 0.12 ;

Sample size, n = 263

np = 263 * 0.12 = 31.56

n(1 - p) = 263(1 - 0.12) = 263 * 0.88 = 231.44

According to the central limit theorem, distribution of sample proportion approximately follow normal distribution with mean of p = 0.12 and standard deviation sqrt(p*(1 - p)/n) = sqrt (0.12 *0.88)/n = sqrt(0.0004015) = 0.02004

Z = (x - mean) / standard deviation

x = 22 / 263 = 0.08365

Z = (0.08365 - 0.12) / 0.02004

Z = −1.813872

Z = - 1.814

P(Z < −1.814) = 0.034839 (Z probability calculator)

Yes, it is unusual

0.034 < 0.05 (Hence, There is a less than 5% chance of this happening by random variation.

7 0
3 years ago
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