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SSSSS [86.1K]
2 years ago
15

What is 3 1/5 times 1/6?

Mathematics
2 answers:
const2013 [10]2 years ago
8 0

Answer:

0.53333...

Step-by-step explanation:

uysha [10]2 years ago
6 0

Answer:

0.53333333 or 0.54

Step-by-step explanation:

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Answer: 60 or something near that sorry if wrong

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3 years ago
A sociologist records the annual household income (in thousands of dollars) among a sample of families living in a high-crime ne
Gnoma [55]

Answer:

The lower quartile is Q_1=33 thousand dollars.

The median quartile is Q_2=39 thousand dollars.

The upper quartile is Q_3=45 thousand dollars.

Step-by-step explanation:

The lower quartile is the median value of the lower half of a data set at the 25th percentile of a distribution.

The median quartile is the median value of a data set at the 50th percentile of a distribution.

The upper quartile is the median value of the upper half of a data set at the 75th percentile of a distribution.

To locate each quartile in a data set, we follow four steps:

Step 1: Put the numbers in order: 23, 25, 33, 34, 39, 39, 44, 45, 48, 55

Step 2: The median is given by \frac{n+1}{2} where n is all scores in the data set.  

Because n = 10, the median position is \frac{10+1}{2}=5.5

The median is the average of the fifth and sixth positioned scores

Q_2=\frac{39+39}{2} =39

Step 3:  Compute \frac{n+1}{2} where n is all scores below Q_2.

For scores below Q_2, use only 23, 25, 33, 34, 39.

Because n = 5, the median position is \frac{5+1}{2}=3

The median is the third positioned score: Q_1=33

Step 4: Compute \frac{n+1}{2} where n is all scores above Q_2.

For scores above Q_2, use only  39, 44, 45, 48, 55

Because n = 5, the median position is \frac{5+1}{2}=3

The median is the third positioned score: Q_3=45

7 0
3 years ago
Helen got a $7 reduction in the price of a pair of jeans that are normally $32. What is the approximate percent decrease in the
Vesnalui [34]

Answer:

The Answer is B.

Step-by-step explanation:

I took the quiz on Edge.

6 0
3 years ago
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Please help me is due today and I am being timed
ivanzaharov [21]

Answer:

B

Step-by-step explanation:

3 0
3 years ago
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A study studied the birth weights of 1,278 babies born in the united states. the mean weight was 3234 grams with a standard devi
babymother [125]
<span>1220 Subtracting the lower boundary of 1492 grams from the mean of 3234 gives you 1742 grams below the mean. Dividing 1742 by the standard deviation of 871 gives you 2 standard deviations below the curve. Now doing the same with the upper limit of 4976 grams also gives you 2 standard deviations above the mean (4976-3234)/871 = 2 So you now look for what percentage of the population lies within 2 standard deviations of the mean. Standard lookup tables will indicate that 95.4499736% of the population will be within 2Ď of the mean. So multiply 1278 by 0.954499736 giving 1219.851. Then round to the nearest whole number and you have an estimated 1220 babies that weigh between 1492 grams and 4976 grams.</span>
6 0
3 years ago
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