SPC Glossary
Link to the glossary items from words shown as links throughout the text.
Average If all values were equal they would be this amount. Add all values and divide by how many there are. Example: For 2,2,4,6,7,7,8 the average is 36 / 7 = 5.14, rounded. The symbol is ,"mu" for a population mean and , "x bar" for a sample mean. Mean and average are the same.

Attribute data is information about qualities-- types of defects or information like color or "strongly prefers". Attributes can not be ranked or averaged. Data is either attribute or variable data.

Assignable cause or special cause Sources of variation which produce nonrandom errors, which affect production in an identifiable way are assignable causes. Wear on a saw blade causing it to cut a curved path is an assignable cause. The slight variations in cut due to many different, minute, and self canceling causes are not assignable causes.

Bias A biased sample consistently misrepresents the population from which it comes. Trying to find the average student shoe size by measuring people in the gym would bias the result, probably toward a larger average. Bias can be introduced by choices from a subset of the population which shares a characteristic.

Capability A capable process consistently produces output that is within specifications. To be consistent, a process must be in statistical control. Capability may be determined only for a process that is in statistical control. One measure of capability is the Cpk ratio, the distance to the nearest specification limit divided by 3 standard deviations. A desirable Cpk is 1.33.

Empirical rule The practical use of theoretical probabilities in normally distributed data. For example, the empirical rule holds that in a normally distributed population, 34% of the observations will fall within one standard deviation above the mean.

Grand average The average of averages, symbolized by , "x double bar," or "x bar The grand average is also equal to the average of the x's.

Histogram A type of bar chart in which numerical data are grouped by size and the count (frequency) of each size is shown by the length of the bar. Histograms are charts of frequency tables.

Judgment sampling A sampling method in which samples are selected by taking items that appear, in the judgment of the person taking the sample, to be representative of the population.

Mean The same as the average.

Median The middle value of an ordered (sorted) list of values, or the average of the middle two values if there is no single middle value. Example: 2,2,4,6,7,7,8, the median is 6.

Mode The value that appears most often. There can be two modes. Example: In 2,2,4,6,7,7,8, the modes are 2 and 7.

n The sample size. For the sample red, blue, green, red, black, n = 5. See Sample.

Normal curve or normal distribution The bell curve governing many natural and industrial processes, in which most values are clustered about the mean, and fewer values away from the mean. The probability of being near or far from the mean is determined by the empirical rule.

Population The population is the universe of all possible values we want information about. If the population is "all compact cars," measuring the gas mileage for every car yields a population mean of 26.2 mpg (or = 26.2 mpg).

Proportion One meaning is part of a whole. The proportion of people who are left-handed is approximately 0.11. Other ways of expressing proportions are as a percent: 12.6% of men are left handed, or as a rate: 99 per 1000 women are left handed. A proportion also refers to equal ratios.

Random sample Every member of the population under study has an equal chance of appearing in the sample. Random numbers are often used to pick which subjects or items are included in the sample.

Sample A sample is a subgroup taken from a population. The number of observations in a sample is represented by the letter n. In the sample 7,6,2, n = 3. Samples are used to estimate characteristics of populations (called parameters) where it is impractical to measure all members of the population.

Sample mean The average of a group of values constituting a sample. Symbol , "x bar". Example: Given 2,2,4,6,7,7,8 as the population, take a sample of three values, randomly selected, 7,6,2. The sample mean is the average of the three, or = 5.

Sort Sorted data is put in order. Consider the list 2, 4, 2, 4.5, 1, 3. The sorted values in ascending order are 1, 2, 2, 3, 4, 4.5. Spreadsheets and some calculators have commands for sorting data.

Specification limits The tolerances set to determine acceptable product. Usually they are maximum (upper specification limit) and minimum (lower specification limit) measurements. Specification limits are usually set by design considerations outside of the process, while control limits are a result of the measurements within the process.

Standard deviation A number that measures the dispersion of a set of values about their average. Its units are the same as the units of the values. The symbol is (sigma) for population standard deviation and s for sample standard deviation. Their formulas differ slightly.

Statistical control A process is in statistical control when variation in the process is not distinguishable from random background variation. The variation is without pattern, and exhibits a normal distribution of values about the mean.

Random A random sample is one in which each member of the population has an equal chance of being picked. Random numbers can be used to select samples which avoid human judgment bias.

Range The distance between the maximum and minimum observations. The symbol for range is R. Example: the range of 2,2,4,6,7,7,8 is 8 - 2, so R = 6.

Variable data are numerical measurements used to distinguish amounts such as diameters in millimeters or temperature. Variable data can be ranked and averaged. Average age, average temperature and average coating thickness are examples of variable data. Not all numerical data is not variable data. Social security numbers are like names; an average social security number of a group of people does not have meaning.

Z score or standardized value. A value expressed in standard deviations. Z = , where x is the value, is the mean, and is the standard deviation.

Link to the glossary items from words shown as links in the text.
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