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Ira Lisetskai [31]
2 years ago
7

A robot’s height is 1 meter 20 centimeters. How tall is the robot in millimeters?

Mathematics
2 answers:
Flura [38]2 years ago
8 0

Answer:

A

Step-by-step explanation:

There are 1000 mm in one meter

and there are 10 mm in one cm

so

1000 + 20(10) = 1200mm

Therefore the answer is 1200mm

Sliva [168]2 years ago
7 0
Answer is A

1 M=1000 mm
20cm=200mm
Total=1200
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If you're room is 86 inches and you're bed is 60 inches can you put a 80 centimeters chest fit next to the bed
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Answer:

yes i think so

Step-by-step explanation:

Queen 60" X 80" 152 X 203.5cm

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Please show your work. Thank you for taking the time of day to help me!
34kurt

Answer:

30

Step-by-step explanation:

Look at the bottom line of the chart.

He sold 41 sides of French fries and 40 sides of onion rings.

41 + 40 = 81

Since he sold a total of 81 sides with bacon cheeseburgers, that means he sold a total of 81 bacon cheeseburgers.

We have a ratio:

81 bacon cheeseburgers to 40 sides of onion rings

Now he sold 120 bacon cheeseburgers, so we set up a proportion to find the number of sides of onion rings. Let the unknown number be x.

81 burgers is to 40 sides as 120 burgers is to x sides

81/40 = 120/x

We solve for x by cross multiplying.

81x = 40 * 120

81x = 4800

x = 4800/81 = 59.3

That means he serves 59 sides of onion rings.

Each serving of onion rings is half pound.

59 * 0.5 = 29.5

For 120 bacon cheeseburgers, he serves approximately 29.5 lb of onion rings.

Answer: 30

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3 years ago
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Samuel can type nearly 40 words per minute. Use this information to find the number of hours it would take him to type 3.8 × 105
lora16 [44]

Answer:

<h2>3.8x105=399</h2>

Step-by-step explanation:

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When 3/11 is written as a decimal, how many digits are in the smallest sequence of repeating digits?
Anna11 [10]
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Mariah Jacobsen is the marketing manager at ABC Electronics, a major consumer electronics supplier in the northwest. Over the la
o-na [289]

Answer:

0.6568 = 65.68% probability that she would be correct.

Step-by-step explanation:

When the distribution is normal, we use the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

45000, 45500, 44500, 46000 and 44000 units. This rate of sales is considered average for the product over the last twenty years or so.

This means that:

\mu = \frac{45000 + 45500 + 44500 + 46000 + 44000}{5} = 45000

Standard deviation of 1500 units.

This means that \sigma = 1500

What is the likelihood that she would be correct if she predicts sales between 43000 and 46000?

This is the pvalue of Z when X = 46000 subtracted by the pvalue of Z when X = 43000. So

X = 46000

Z = \frac{X - \mu}{\sigma}

Z = \frac{46000 - 45000}{1500}

Z = 0.67

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X = 43000

Z = \frac{X - \mu}{\sigma}

Z = \frac{43000 - 45000}{1500}

Z = -1.33

Z = -1.33 has a pvalue of 0.0918

0.7486 - 0.0918 = 0.6568

0.6568 = 65.68% probability that she would be correct.

5 0
3 years ago
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