{
    "root": {
      "Statistical Base": [


        {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "45",
        "Code": "1 Pctl",
        "Description": "A 1st percentile says that 1% of the time data points are below that value and 99% of the time they are above that value.",
        "LastChangeDate": "2023-03-09T09:15:27 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "9",
        "Code": "10 Pctl",
        "Description": "the 10th percentile is the value (or score) below which 10% of the observations may be found.",
        "LastChangeDate": "2006-07-26T10:57:47 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "10",
        "Code": "15 Pctl",
        "Description": "the 15th percentile is the value (or score) below which 15% of the observations may be found.",
        "LastChangeDate": "2006-07-26T10:57:47 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "196",
        "Code": "16 Pctl",
        "Description": "the 16th percentile is the value (or score) below which 16% of the observations may be found.",
        "LastChangeDate": "2024-11-15T17:50:40 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "49",
        "Code": "2-Sigma CSU",
        "Description": "2-Sigma CSU",
        "LastChangeDate": "2015-01-05T00:00:00 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "11",
        "Code": "20 Pctl",
        "Description": "the 20th percentile is the value (or score) below which 20% of the observations may be found.",
        "LastChangeDate": "2006-07-26T10:57:47 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "12",
        "Code": "25 Pctl",
        "Description": "also known as the first quartile (Q1), is the 25th percentile is the value (or score) below which 25% of the observations may be found.",
        "LastChangeDate": "2006-07-26T10:57:47 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "23",
        "Code": "30-day Geometric Mean",
        "Description": "Calculating a geometric mean (over 30 days period) provides a number that is more representative of the median and helps reduce the effect of a few extreme values.",
        "LastChangeDate": "2011-05-31T10:05:55 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "159",
        "Code": "30DADMean",
        "Description": "Thirty day average daily mean",
        "LastChangeDate": "2018-07-11T08:01:39 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "8",
        "Code": "5 Pctl",
        "Description": "A 5th percentile says that 5% of the time data points are below that value and 95% of the time they are above that value.",
        "LastChangeDate": "2006-07-26T10:57:47 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "139",
        "Code": "50 Pctl",
        "Description": "also known as the median or second quartile (Q2), is the 50th percentile is the value (or score) below which 50% of the observations may be found.",
        "LastChangeDate": "2017-03-31T08:58:01 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "13",
        "Code": "75 Pctl",
        "Description": "also known as the third quartile (Q3), is the 75th percentile is the value (or score) below which 75% of the observations may be found.",
        "LastChangeDate": "2006-07-26T10:57:47 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "19",
        "Code": "7DADM",
        "Description": "Seven Day Average Daily Maximum",
        "LastChangeDate": "2009-12-15T16:47:41 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "157",
        "Code": "7DADMean",
        "Description": "Seven day average daily mean",
        "LastChangeDate": "2018-07-11T07:57:57 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "158",
        "Code": "7DADMin",
        "Description": "Seven day average daily minimum",
        "LastChangeDate": "2018-07-11T07:58:58 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "14",
        "Code": "80 Pctl",
        "Description": "the 80th percentile is the value (or score) below which 80% of the observations may be found.",
        "LastChangeDate": "2006-07-26T10:57:47 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "197",
        "Code": "84 Pctl",
        "Description": "the 84th percentile is the value (or score) below which 84% of the observations may be found.",
        "LastChangeDate": "2020-07-21T09:44:40 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "15",
        "Code": "85 Pctl",
        "Description": "the 85th percentile is the value (or score) below which 85% of the observations may be found.",
        "LastChangeDate": "2006-07-26T10:57:47 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "16",
        "Code": "90 Pctl",
        "Description": "the 90th percentile is the value (or score) below which 90% of the observations may be found.",
        "LastChangeDate": "2006-07-26T10:57:47 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "17",
        "Code": "95 Pctl",
        "Description": "A 95th percentile says that 95% of the time data points are below that value and 5% of the time they are above that value.",
        "LastChangeDate": "2006-07-26T10:57:47 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "36",
        "Code": "99 Pctl",
        "Description": "A 99th percentile says that 95% of the time data points are below that value and 1% of the time they are above that value.",
        "LastChangeDate": "2014-11-19T10:32:19 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "20",
        "Code": "AMS",
        "Description": "A method to calculate expanded uncertainty where sample size =7( 7 measures of one sample)",
        "LastChangeDate": "2011-02-09T18:10:20 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "21",
        "Code": "AMS+",
        "Description": "A method to calculate expanded uncertainty where sample size =7 ( based on 7 measures of different samples)",
        "LastChangeDate": "2011-02-09T18:10:20 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "52",
        "Code": "Area-Weighted Mean",
        "Description": "The mean value of a set, weighted by the area over which individual values in the set were measured",
        "LastChangeDate": "2023-09-28T13:04:19 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "28",
        "Code": "BAV",
        "Description": "Beach Action Values - level of concentration, 75th percentile of the geometric mean of the water samples (the value at which beach advisories should be issued.)",
        "LastChangeDate": "2013-01-24T14:21:20 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "48",
        "Code": "BNT",
        "Description": "Beach notification threshold – A water quality value selected by a state or tribe that is used to “trigger” a beach notification.",
        "LastChangeDate": "2014-08-13T00:00:00 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "177",
        "Code": "Coefficient of error",
        "Description": "the standard error of the mean of repeated estimates divided by the mean",
        "LastChangeDate": "2020-06-03T14:51:08 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "37",
        "Code": "Coefficient of variation",
        "Description": "a statistical measure of the dispersion of data points in a data series around the mean. The coefficient of variation represents the ratio of the standard deviation to the mean",
        "LastChangeDate": "2015-12-21T14:35:23 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "31",
        "Code": "Count",
        "Description": "count data is a statistical data type, a type of data in which the observations can take only the non-negative integer values, and where these integers arise from counting rather than ranking",
        "LastChangeDate": "2014-07-01T00:00:00 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "22",
        "Code": "Daily Geometric Mean",
        "Description": "Calculating a geometric mean (a daily period) provides a number that is more representative of the median and helps reduce the effect of a few extreme values.",
        "LastChangeDate": "2011-05-31T10:05:55 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "26",
        "Code": "Daily Maximum",
        "Description": "The largest value of a set, each period of a day cycle",
        "LastChangeDate": "2012-01-18T14:21:20 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "46",
        "Code": "Daily Mean",
        "Description": "The mean value of a set, each period of a day cycle",
        "LastChangeDate": "2023-09-28T13:04:19 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "47",
        "Code": "Daily Median",
        "Description": "The  median value of a set (also known as the 50 Pctl), each period of a day cycle",
        "LastChangeDate": "2023-09-28T13:04:19 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "25",
        "Code": "Daily Minimum",
        "Description": "The smallest value of a set, each period of a day cycle",
        "LastChangeDate": "2012-01-18T14:20:38 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "54",
        "Code": "Daily Standard Deviation",
        "Description": "Daily standard deviation measures volatility over a single day, while general standard deviation calculates dispersion over any specified period (e.g., annual, monthly).",
        "LastChangeDate": "2026-03-18T13:08:50 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "30",
        "Code": "Delta",
        "Description": "The measurable difference between two points or results themselves",
        "LastChangeDate": "2013-08-22T14:21:20 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "18",
        "Code": "Geometric Mean",
        "Description": "the geometric mean is a mean or average, which indicates the central tendency or typical value of a set of numbers by using the product of their values.",
        "LastChangeDate": "2008-04-15T09:32:55 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "35",
        "Code": "Hourly Maximum",
        "Description": "The largest value of a set, each period of a hour cycle",
        "LastChangeDate": "2014-07-18T00:00:00 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "34",
        "Code": "Hourly Minimum",
        "Description": "The smallest value of a set, each period of a hour cycle",
        "LastChangeDate": "2014-07-18T00:00:00 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "137",
        "Code": "Instantaneous",
        "Description": "The rate of change at a particular moment. Same as the value of the derivative at a particular point.",
        "LastChangeDate": "2017-03-31T07:29:37 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "44",
        "Code": "Kurtosis",
        "Description": "a measure of whether the data are peaked or flat relative to a normal distribution. The sharpness of the peak of a frequency-distribution curve.",
        "LastChangeDate": "2016-01-14T07:58:04 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "53",
        "Code": "Log Standard Error",
        "Description": "This is the standard deviation of the sample mean, xBar, and describes its accuracy as an estimate of the population mean, mu, for values in logarithmic units.",
        "LastChangeDate": "2023-09-28T15:25:46 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "6",
        "Code": "MPN",
        "Description": "Most Probable Number (MPN) is a method used to estimate the concentration of viable microorganisms in a sample by means of replicate liquid broth growth in ten-fold dilutions.",
        "LastChangeDate": "2006-07-26T10:57:47 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "1",
        "Code": "Maximum",
        "Description": "The maximum is a unique number for a given set of data. This number can be repeated, but there is only one maximum for a data set",
        "LastChangeDate": "2006-07-26T10:57:47 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "2",
        "Code": "Mean",
        "Description": "mean is the sum of all the numbers in the set divided by the amount of numbers in the set",
        "LastChangeDate": "2006-07-26T10:57:47 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "3",
        "Code": "Median",
        "Description": "median is the middle point of a number set, in which half the numbers are above the median and half are below.",
        "LastChangeDate": "2006-07-26T10:57:47 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "4",
        "Code": "Minimum",
        "Description": "the smallest or the least value in a given set of data.",
        "LastChangeDate": "2006-07-26T10:57:47 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "5",
        "Code": "Mode",
        "Description": "The mode of a set of data values is the value that appears most often.",
        "LastChangeDate": "2006-07-26T10:57:47 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "50",
        "Code": "N",
        "Description": "N represents the total number of individuals or cases in the population",
        "LastChangeDate": "2023-04-10T23:08:57 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "217",
        "Code": "Percent Similarity",
        "Description": "Percent Similarity",
        "LastChangeDate": "2021-07-14T15:15:38 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "38",
        "Code": "Percent diff from true",
        "Description": "a percentage deviation or a measure of difference between the observed value of a variable and some reference value",
        "LastChangeDate": "2015-12-21T14:35:23 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "39",
        "Code": "Percent of total",
        "Description": "function returns the percentage of each value in the input series out of the total sum of the values in the input series.",
        "LastChangeDate": "2015-12-21T14:35:23 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "40",
        "Code": "Percent recovery",
        "Description": "The percent recovery is the amount of pure compound with respect to the impure compound obtained from the chemical synthesis",
        "LastChangeDate": "2015-12-21T14:35:23 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "179",
        "Code": "Precision",
        "Description": "In statistics, precision is the reciprocal of the variance, and the precision matrix is the matrix inverse of the covariance matrix",
        "LastChangeDate": "2020-06-03T18:56:14 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "140",
        "Code": "Quartile Deviation",
        "Description": "The quartile deviation is a slightly better measure of absolute dispersion than the range. But it ignores the observation on the tails.",
        "LastChangeDate": "2017-03-31T09:06:39 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "29",
        "Code": "RAD Error",
        "Description": "Inherent Error in Radiological Instruments",
        "LastChangeDate": "2013-07-10T11:19:06 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "51",
        "Code": "Range",
        "Description": "the range is the spread of your data from the lowest to the highest value in the distribution. It is the simplest measure of variability",
        "LastChangeDate": "2023-04-10T23:08:57 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "42",
        "Code": "Ratio",
        "Description": "the quantitative relation between two amounts showing the number of times one value contains or is contained within the other.",
        "LastChangeDate": "2015-12-21T14:35:23 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "41",
        "Code": "Relative percent diff",
        "Description": "the Relative Percent Difference (RDP) determines the difference between analytical results reported in primary, and duplicate samples. RDP statistics are used to calculate precision or random error.",
        "LastChangeDate": "2015-12-21T14:35:23 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "27",
        "Code": "STV",
        "Description": "statistical threshold value  - level of concentration, the 90th percentile of the geometric mean of the samples for a particular water body",
        "LastChangeDate": "2013-01-24T14:21:20 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "24",
        "Code": "Single Sample Maximum",
        "Description": "a single sample or measurement taken at a specific time and determining the maximum number of defects discovered in a sample",
        "LastChangeDate": "2011-05-31T10:05:55 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "43",
        "Code": "Skewness",
        "Description": "a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean.",
        "LastChangeDate": "2016-01-14T07:58:04 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "117",
        "Code": "Slope",
        "Description": "the slope or gradient of a line is a number that describes both the direction and the steepness of the line.  The significance of a linear relationship between x and y",
        "LastChangeDate": "2017-03-30T13:10:56 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "7",
        "Code": "Standard Deviation",
        "Description": "This describes the spread of values in the sample",
        "LastChangeDate": "2006-07-26T10:57:47 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "32",
        "Code": "Standard Error",
        "Description": "This is the standard deviation of the sample mean, xBar, and describes its accuracy as an estimate of the population mean, mu. ",
        "LastChangeDate": "2014-07-01T00:00:00 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "33",
        "Code": "Sum",
        "Description": "Use summation notation to express the sum of all numbers.",
        "LastChangeDate": "2014-07-01T00:00:00 AMERICA/NEW_YORK"
        }

,       {
        "Domain": "Statistical Base(StatisticalBaseCode)",
        "UID": "178",
        "Code": "Variance",
        "Description": "the most commonly used measures of spread. We know that variance is a measure of how spread out a data set is. It is calculated as the average squared deviation of each number from the mean of a data",
        "LastChangeDate": "2020-06-03T14:51:08 AMERICA/NEW_YORK"
        }


            ]
	}
}