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Valentin [98]
3 years ago
12

Order the following rational numbers from least to greatest. 61%, 0.68, 2/3, 0.57, 3/5

Mathematics
1 answer:
Mashutka [201]3 years ago
5 0

Answer:

Step-by-step explanation:

61% = 0.61

0.68

2/3 = 0.666

0.57

3/5 = 0.600

least to greatest : 0.57, 3/5, 61%, 2/3, 0.68

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What is the value of the expression 3x-8y when x=10 and y=2?
Greeley [361]

Answer:

14

Step-by-step explanation:

3x-8y

(3*10)-(8*2)

30-16

14

7 0
3 years ago
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In February, Ronald. Read a book that was 98 pages long. In March, he read a book that was 124 pages long. In April, he read a b
tester [92]

Answer:

430

Step-by-step explanation:

You add 98+124 which is 222 then add it plus 208 which is 430

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3 years ago
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If the probability of a win is 0.5 and the probability of a draw is 0.3, what is the probability of a loss?
Bad White [126]
The probability of loss is 0.2 because they must add up to 1.
7 0
3 years ago
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The variance can never bea.zerob.larger than the standard deviationc.negatived.smaller than the standard deviation
MrRa [10]

Answer:

c.negative

True, by definition since the variance take in count the differences around the mean squared, then we can't have a negative value for a sum of square values.

Step-by-step explanation:

We need to remember that the variance is a measure of dispersion for a dataset respect to a measure of central tendency called the mean. The mean is defined as:

\bar x = \frac{\sum_{i=1}^n X_i}{n}

And the population mean is given by:

\mu= \frac{\sum_{i=1}^n X_i}{N}

The population variance is defined by:

\sigma^2 = \frac{\sum_{i=1}^n (X_i -\mu)^2}{N}

And the sample variance is defined as:

s^2= \frac{\sum_{i=1}^n (X_i -\bar x)}{n-1}

Now if we analyze the options we have this:

a.zero

False, if all the values are the same then the mean would be the same to the values and the difference between each value and the mean would 0 and indeed the variance would be 0.

b.larger than the standard deviation

False, if the population standard deviation is \sigma=2 then the variance would be \sigma^2 = 4 and as we can see is higher than the standard deviation

c.negative

True, by definition since the variance take in count the differences around the mean squared, then we can't have a negative value for a sum of square values.

d.smaller than the standard deviation

False, if the population standard deviation is \sigma=0.1 then the variance would be \sigma^2 = 0.01 and as we can see is lower than the standard deviation

7 0
3 years ago
3.5 - 1.05 please help
netineya [11]

Answer:

The answer is 2.45

Step-by-step explanation:

I used this magic device called a calculator!

lol

5 0
3 years ago
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