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balandron [24]
3 years ago
13

What’s the answer..? It’s not 5/7 so idk

Mathematics
1 answer:
jonny [76]3 years ago
6 0

Answer:

5/7

Step-by-step explanation:

Just simplify 20/28. You can divide both by 2.. giving u 10/14 then again by 2.. giving u 5/7.. this is the odds of it happening

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The finish times for the runners in a 1.5 mile race are summarized in the histogram below.
BlackZzzverrR [31]

Answer:

16 runners finished the race under 13 minutes.

Step-by-step explanation:

If you look at the green bars that are 11:00-12:59, 9:00-10:59 and 7:00 to 8:59 you will notice they are all under 13, The number of runners that finished it in 11:00-12:59 are 8, The number of runners that finished it in 9:00-10:59 are 6 and The number of runners that finished it in 7:00-8:59 are 2. 8+6+2 = 16

7 0
3 years ago
Read 2 more answers
3. One less than twice a number, x, is equal to four.
Eduardwww [97]

Answer:

3. 2x - 1 = 4

4. x/6 = 1/2

4 0
4 years ago
  A polygon that has all sides the same measure and all angles the same measure is called what?        A. Convex polygon   B. Co
Schach [20]
<span>D. Regular polygon.

</span>A polygon that has all sides the same measure and all angles the same measure is called Regular polygon.

Hoped I helped!
8 0
4 years ago
Helpp!!?
jeyben [28]

Answer:

region a

Step-by-step explanation:

you follow the shading of the lines and look for the region where it overlaps

5 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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