Monday 10-22-12

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Summarising Numerical Data

由Alphonso Zoanetti

Data Management

由Basra Arshnoor

ESPERANZA RISING

由ALEXIS OLVERA CASTILLO

measures of statistical position

由Lizeth Yorleni Garzón Quiñonez

STATISTICS!

Standard Deviation

Used to create Bell Curve

Measure of the center is the MEAN

*Formula will always be given

But just incase...

Line Plots

Quartiles: Divide the data set into four sections. Each section containing about 1/4 of the data.

QU: The upper quartile, find the median of the upper set of data points

QL: The lower quartile, find the median of the LOWER SET of data points.

Box and Whisker

OUTLIERS- How to figure out if numbers in a set of data are outliers:

IQR= Inter Quartile Range or, the distance between the lower quartile and the upper quartile. To be an Outlier, the number must be at least 1.5 X IQR.

Example: The Lower quartile is 13 and the Upper Quartile is 17... The IQR is 4. 1.5 X 4 = 6. So for a number in the data set to be an Outlier it must be +/- 6 from the quartiles.

Subtopic

Remember to include a number line underneath (to keep things evenly spaced and to scale)

Be careful of SKEWING or SKEWED data!!

The Three Ms

MODE

The number that occurs the MOST in a set. You CAN have more than one mode.

MEDIAN

The Middle Number. Order your numbers from least to greatest, then find the middle number.

MEAN

Average- Add the numbers in your set and divide by the amount of numbers in your set. Combine and divide out equally.