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  2. Median - Wikipedia

    en.wikipedia.org/wiki/Median

    In other words, we split up the interval width pro rata to the numbers of observations. In this case, the 33% is split into 28% below the median and 5% above it so we subtract 5/33 of the interval width from the upper bound of 3.50 to give an interpolated median of 3.35.

  3. Mean absolute error - Wikipedia

    en.wikipedia.org/wiki/Mean_absolute_error

    This optimization-based definition of the median is useful in statistical data-analysis, for example, in k-medians clustering. Proof of optimality ...

  4. Statistical data type - Wikipedia

    en.wikipedia.org/wiki/Statistical_data_type

    The concept of data type is similar to the concept of level of measurement, but more specific. For example, count data requires a different distribution (e.g. a Poisson distribution or binomial distribution) than non-negative real-valued data require, but both fall under the same level of measurement (a ratio scale).

  5. Mean - Wikipedia

    en.wikipedia.org/wiki/Mean

    Each attempts to summarize or typify a given group of data, illustrating the magnitude and sign of the data set. Which of these measures is most illuminating depends on what is being measured, and on context and purpose. [2] The arithmetic mean, also known as "arithmetic average", is the sum of the values divided by the number of values.

  6. Daily Briefing: Splitting the Valentine's dinner bill - AOL

    www.aol.com/news/splitting-valentines-dinner...

    Data showed U.S. consumer prices rose faster than expected in January. Here is the news to know on Thursday.

  7. Rata Die - Wikipedia

    en.wikipedia.org/wiki/Rata_Die

    Rata Die is somewhat similar to Julian Dates (JD), in that the values are plain real numbers that increase by 1 each day. The systems differ principally in that JD takes on a particular value at a particular absolute time, and is the same in all contexts, whereas R.D. values may be relative to time zone , depending on the implementation.

  8. Charles T. Hagel - Pay Pals - The Huffington Post

    data.huffingtonpost.com/paypals/charles-t-hagel

    From May 2010 to December 2012, if you bought shares in companies when Charles T. Hagel joined the board, and sold them when he left, you would have a 51.1 percent return on your investment, compared to a 33.5 percent return from the S&P 500.

  9. Elaine L. Chao - Pay Pals - The Huffington Post

    data.huffingtonpost.com/paypals/elaine-l-chao

    From July 2011 to December 2012, if you bought shares in companies when Elaine L. Chao joined the board, and sold them when she left, you would have a 19.2 percent return on your investment, compared to a 6.5 percent return from the S&P 500.