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Sample gre question

The following appeared in a letter to the editor of Parson City’s local newspaper.

“In our region of Trillura, the majority of money spent on the schools that most students attend—the city-run public schools—comes from taxes that each city government collects. The region’s cities differ, however, in the budgetary priority they give to public education. For example, both as a proportion of its overall tax revenues and in absolute terms, Parson City has recently spent almost twice as much per year as Blue City has for its public schools—even though both cities have about the same number of residents. Clearly, Parson City residents place a higher value on providing a good education in public schools than Blue City residents do.”

Write a response in which you discuss what specific evidence is needed to evaluate the argument and explain how the evidence would weaken or strengthen the argument

Statistics How To» Blog Archive » How to find an interquartile range in statistics

Probability and statistics: Interquartile range (IQR)

Step 1: Put the numbers in order

1,2,5,6,7,9,12,15,18,19,27

Step 2: Find the median (How to find a median)

1,2,5,6,7,9,12,15,18,19,27

Step 3: Place parentheses around the numbers above and below the median.

Not necessary statistically–but it makes Q1 and Q3 easier to spot.

(1,2,5,6,7),9,(12,15,18,19,27)

Step 4: Find Q1 and Q3

Q1 can be thought of as a median in the lower half of the data, and Q3 can be thought of as a median for the upper half of data.

(1,2,5,6,7),  9, ( 12,15,18,19,27). Q1=5 and Q3=18.

Step 5. Subtract Q1 from Q3 to find the interquartile range.

18-5=13.

via Statistics How To» Blog Archive » How to find an interquartile range in statistics.

Stats: What is an interquartile range?

What is an interquartile range?

The interquartile range (IQR) is the distance between the 75th percentile and the 25th percentile. The IQR is essentially the range of the middle 50% of the data. Because it uses the middle 50%, the IQR is not affected by outliers or extreme values.

The IQR is also equal to the length of the box in a box plot.

via Stats: What is an interquartile range?.