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Mazyrski [523]
3 years ago
13

Help !! help !! help !!

Mathematics
1 answer:
AVprozaik [17]3 years ago
3 0

Answer:

A: The cube of a number less than the square root of the number.

Step-by-step explanation:

None

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Is the area of the rectangle 40 or 96 square feet? explain
Mrac [35]

Answer: 96ft

Step-by-step explanation:

Width times hight equals area. So 12x8=96ft

4 0
3 years ago
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3. Every time Deucalion threw one stone over his shoulder, eight people sprang
kvv77 [185]

Answer:

1156

Step-by-step explanation:

When Deucalion threw one stone over his shoulder, 8 people appear. So, for every stone, we have 8 new people.

Therefore, if Deucalion threw 68 stones, the number of people that would appear is

n_1=68\cdot 8 =544

Instead, when Phyrra threw a stone, 9 people appear. So, for every stone, we have 9 new people.

Therefore, if Phyrra threw 68 stones, the number of people that would appear is

n_2=68\cdot 9 =612

And so, we can now calculate the total number of people that appear after each had thrown 68 stones:

n=n_1+n_2=544+612=1156

6 0
3 years ago
Order the numbers from least to greatest. -0.25,1/4,-1/3,0.3​
vesna_86 [32]
-1/3,-0.25,1/4,0.3 is the correct way from least to greatest
4 0
3 years ago
Weight gain during pregnancy. In 2004, the state of North Carolina released to the public a large data set containing informatio
Kryger [21]

Answer:

From the given data, there is not enough evidence to prove that there is a statistically significant difference between the two population means

Step-by-step explanation:

The number of younger moms, in the study = 837

The average weight gain of younger moms, \overline x₁ = 30.67 pounds

The standard deviation of the weight gain of younger moms, s₁ = 14.69 pounds

(30.67 - 28.52)/√((14.69^2)/837 + 13²/143))

The number of younger moms, in the study = 143

The average weight gain of mature moms, \overline x₂ = 28.52 pounds

The standard deviation of the weight gain of mature moms, s₂ = 13 pounds

The test statistic for the difference in two populations is given as follows;

t=\dfrac{(\bar{x}_{1}-\bar{x}_{2})}{\sqrt{\dfrac{s_1^{2} }{n_{1}}-\dfrac{s _{2}^{2}}{n_{2}}}}

Therefore, we get;

t=\dfrac{(30.67-28.52)}{\sqrt{\dfrac{14.69^{2} }{837}-\dfrac{13^{2}}{143}}} \approx 1.7919

The test statistic ≈ (1.7919)

Using a graphing calculator, we get;

The critical-t = ±1.971379, p = 0.07459697

Therefore, given that the test statistic, (1.7919), < critical-t (0.07459697), we fail to reject the null hypothesis, therefor, the given data does not provide convincing evidence that there is a significant difference between the two population means

7 0
3 years ago
Q+5/9=1/6<br> what is q?
Viefleur [7K]
Q + 5/9 = 1/6 .  first subtract 5/9 on both sides
q = 1/6 - 5/9 .   in order to subtract you need to find lcd 
q = -7/17

hope this helps . give brainliest thanks

7 0
4 years ago
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