Analyzing how noisy a data set using Excel -

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i have set of data has on 15,000 records in excel measurement tool finds trends on large areas. i'm not interested in looking trends within data whole rather on data closest each other sense of how noisy (variation neighboring records). want know average standard deviation of looking @ 15,000 or records @ 20 records @ time. hope data values trend gradually rather sudden changes record record , looks noisy. if add chart , use "moving average" trendline kind of visually shows how noisy data looks across 15,000 + records. however, hoping numeric value rate how noisy data vs. other datasets. ideas on here formula's built-in excel or adding add-in? let me know if need explain better.

could calculate moving average 20 sample window, use difference between each point , expected value calculate variance?

hard tables here, here sample of mean

actual measured expected variance      5     5.44     4.49     0.91      6     4.34     5.84     2.26      7     8.45     7.07     1.90      8     6.18     7.84     2.75      9     8.89     9.10     0.04     10    11.98    10.01     3.89

the "measured" values determined as

measured = actual + (rand() - 0.5) * 4

the "expected" values calculated moving average (the table pulled middle of data set).

the variance square of expected minus measured.

then calculate average variance summary statistic.


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