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Murljashka [212]
3 years ago
6

Some please help me!!!!!!!!!!:(

Mathematics
1 answer:
OlgaM077 [116]3 years ago
7 0

Answer:

ad fk kcfj dlajk jk djkfa ejk fks e

Step-by-step explanation:

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lin has 8 green apples and 2 red apples .if he slices the green apples in eighths ,how many apple slices will he have ?
lutik1710 [3]
64 because each apple is sliced into 8ths and there are 8 apples so 8x8=64
3 0
3 years ago
I need to know the volume
lana66690 [7]

Answer:

105 mm^3

Step-by-step explanation:

The volume formula for a triangular prism is (height x base x length) / 2.

(5 x 6 x 7) / 2 = 105 mm cubed = 105 mm^3

3 0
3 years ago
How can you prove:<br><br> secθ = cscθtanθ
zavuch27 [327]

\sec \theta=\csc \theta\tan \theta\\\\ \dfrac{1}{\cos \theta}=\dfrac{1}{\sin \theta}\cdot\dfrac{\sin \theta}{\cos \theta}\\\\ \dfrac{1}{\cos \theta}=\dfrac{1}{\cos \theta}

3 0
3 years ago
You can paint 75 square feet of a surface every 45 minutes. Determine how long it takes you to paint a wall with the given dimen
Allisa [31]

Answer:

25.2 min

Step-by-step explanation:

3 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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