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irina [24]
3 years ago
5

10 kg. Is how many IB

Mathematics
2 answers:
Kitty [74]3 years ago
4 0
20 kg is about twent two (22) pounds 

Anvisha [2.4K]3 years ago
3 0
10kg is equal to 22.0462 lb

This rounds up to 22.05 lb

Hope this helps!!

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Is w = 8 a solution to the equation 5 + w = 58? Explain
sp2606 [1]

No.

Since w = 8, you must replace the variable with the number associated to it.

So, it would be 5 + 8 = 58

5 + 8 is not equal to 58, it is equal to 13.

If you wanted to find out what w was, simply subtract 5 on both sides.

w = 58 - 5

8 0
3 years ago
The function s(v)=3√v describes the side length, in units, of a cube with a volume of V cubic units. jason wants to build a cube
Alex73 [517]
S(v)=<span>∛v
if v = 64 then
s(v) </span><span>∛64 = 4

answer
</span><span>b. s >= 4</span>
5 0
3 years ago
Read 2 more answers
Does (10,1) make the inequality 13x+15y greater than or Equal to 19 true?
12345 [234]

Answer:

Yes

Step-by-step explanation:

13(10) + 15(1) \geq 19

130+15 \geq 19

145 \geq 19   ← Yes it is

6 0
4 years ago
Simplify the expression. <br><br> (128x^5/ 8x)1/4 <br><br> Enter your answer in the box.
Pachacha [2.7K]
To solve: 
Simplify 128x^5/8x first
16x^4

then divide by 1/4

16x^4•4/1=64x^4

Answer: 64x^4
7 0
3 years ago
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2. In a random sample of 130 World Campus students, 92 were employed full-time.
liberstina [14]

Answer:


Step-by-step explanation:

Given that sample size is 130 >30.  Also by central limit theorem, we know that mean (here proportion) of all means of different samples would tend to become normal with mean = average of all means(here proportions)

Hence we can assume normality assumptions here.

Proportion sample given = 92/130 = 0.7077

The mean proportion of different samples for large sample size will follow normal with mean = sample proportion and std error = square root of p(1-p)/n

Hence mean proportion p= 0.7077

q = 1-p =0.2923

Std error = 0.0399

For 95% confidence interval we find that z critical for 95% two tailed is 1,.96

Hence margin of error = + or - 1.96(std error)

= 0.0782

Confidence interval = (p-margin of error, p+margin of error)

= (0.7077-0.0782,0.7077+0.0782)

=(0.6295, 0.7859)

We are 95% confident that average of sample proportions of different samples would lie within these values in the interval for large sample sizes.

7 0
3 years ago
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