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vovangra [49]
3 years ago
11

Wich box is greater, a 1.5- pound box of raisins or a 650-gram box of rocks?

Mathematics
2 answers:
SpyIntel [72]3 years ago
4 0
The first step of this is to convert them both to the same unit. since 1 pound is equal to .45 kg, .45*1.5=.68 kg. now we need to convert kg to grams, when we do this we get 680 grams of raisins and 650 grams of rocks. we can obviously see that the box of raisins is heavier.
elena55 [62]3 years ago
3 0
❅☃ 1.5 pounds.
❅☃ 1.5 pounds weighs 680.389 grams.
<span>❅☃ </span>Leaving it higher then the 650 gram box of rocks. 
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Answer:

f = -4

Explanation:

  • f(-2) = -|-2 - 2|

Subtract The Numbers: -2 - 2 = 4

f = -| -4|

Apply Absolute Rule (|-a| = a): |-4| = 4

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Answer:

-7\dfrac12

Step by step explanation:

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2 years ago
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Arada [10]

Answer:

Step-by-step explanation:

BED is the same angle as AEC

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3 years ago
An engineer is going to redesign an ejection seat for an airplane. The seat was designed for pilots weighing between 130 lb and
egoroff_w [7]

Answer:

a) P(140

P(0.036

P(0.036

b) P(140< \bar X

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Part a

Let X the random variable that represent the weights of a population, and for this case we know the distribution for X is given by:

X \sim N(139,28.1)  

Where \mu=139 and \sigma=28.1

We are interested on this probability

P(140

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(140

And we can find this probability like this:

P(0.036

And in order to find these probabilities we can find tables for the normal standard distribution, excel or a calculator.  

P(0.036

Part b

For this case we select a sample size of n =32. Since the distribution for X is normal then the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu=139, \frac{\sigma}{\sqrt{n}}=\frac{28.1}{\sqrt{32}}=4.97)

And the new z score would be:

Z=\frac{\bar X -\mu}{\sigma_{\bar x}}

P(140< \bar X

P(140< \bar X

5 0
3 years ago
0. Completa:<br>4.520.389 = 4__ +5CM + __+__+__+__+__<br>​
stira [4]

Answer:

<h2>4,520,389 = 4M + 5CM + 2DM + 3C + 8D + 9U</h2>

Step-by-step explanation:

In this proble, we defined:

  • D represents tens.
  • C represents hundreds.
  • M represents millions.
  • U is units.

So, the given number is 4,520,389, where we need to state the proper variable according to the position of each digit and its value.

4,520,389 = 4M + 5CM + 2DM + 3C + 8D + 9U

In words, the first term represents 4 millions, the second term represents 5 hundred thousands, the third term represents twenty thousands, the fourth term represents three hundreds, the fifth term represents eighty and the las term represents 9 units.

4 0
3 years ago
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