1. Convert. Simplify your answer and write it as a proper fraction or as a whole or as a mixed number.

Mathematics

1 answer:

velikii [3]3 years ago

4 0

Answer:

4 ounces = 1/4 lbs (pounds) 1/3 of 66 is 22

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Which number is between 0.6 7/9

irakobra [83]

First we make the fractions homonym ( they must have the same denomitator)

0.6 = 6 / 10 7/9

6/10 = 6 * 9 / 10 * 9 = 54 / 90 7/9 = 7 * 10 / 9 * 10 = 70 / 90

The numbers which are between these numbers are ;

55 / 90 , 56 / 90 , 57 / 90 , 58 / 90 , 59 / 90, 60 / 90 , 61 / 90 , 62 / 90 , 63 / 90 , 64 / 90, 67 / 90 , 68 / 90 , 69 / 90

62 / 90 = 62 / 2 / 90 /2 = 31 / 45

So the right answer is B.

Hope that helps :)

8 0

3 years ago

In a video game, Charles scored -250 points on his second play this brought his total score to 500. What was his score on the fi

Lyrx [107]

His First Play Was 750 Points

(1st Play) 750 (second play) -250

750 - 250 = 500

4 0

3 years ago

Read 2 more answers

Can someone help I have to be done by tomorrow morning plz order them from least to greatest plz

Sindrei [870]

11. 0.03, 3/10,1 1/8,1 5/6,2

7 0

3 years ago

Each locker is shaped like a rectangular prism. Which has more storage space? explain/

seropon [69]

Locker 1 has more storage space because it has a greater volume.
The volume of locker 1 is 8,640 (48x15x12)
The volume of locker 2 is 7,200 (60x10x12)

I hope this helps.

4 0

3 years ago

What is the probability that a randomly selected male will have a foot length between 8 and 12.5 inches? P(8 < r < 12.5)=

melisa1 [442]

Answer:

0.8185 or 81.85%

Step-by-step explanation:

The mean length (μ) of an adult foot is 11 and the standard deviation (σ) is 1.5.

The z score is a measure in statistic used to determine the amount of standard deviation by which the raw score (x) is above or below the mean. If the raw score is above the mean, the z score is positive and if the raw score is below the mean the z sore is negative. It is given by:

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

To calculate the probability that a randomly selected male will have a foot length between 8 and 12.5 inches, we first calculate the z score for 8 inches and then for 12.5 inches.

For 8 inches:

$z=\frac{x-\mu}{\sigma}=\frac{8-11}{1.5}=-2$

For 12.5 inches:

$z=\frac{x-\mu}{\sigma}=\frac{12.5-11}{1.5}=1$

From the normal distribution table, The probability that a randomly selected male will have a foot length between 8 and 12.5 inches = P(8 < x < 12.5) = P(-2 < z < 1) = P(z < 1) - P(z < -2) = 0.8413 - 0.0228 = 0.8185 = 81.85%

4 0

3 years ago