Data Terminology

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Statistics Karteikarten am Data Terminology, erstellt von Claudia Miles am 04/06/2017.
Claudia Miles
Karteikarten von Claudia Miles, aktualisiert more than 1 year ago
Claudia Miles
Erstellt von Claudia Miles vor mehr als 7 Jahre
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Zusammenfassung der Ressource

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Quantitative Data Data that is numerical (Measured in numbers) This data will always have a mean
Qualitative Data Data that is measured by the number of people in a sample This data will have proportions Categorical Data
Ordinal Data Data that is categorical and conveys a ranking e.g. clothing size, age
Nominal Data data that has labels e.g. ethnicity, gender
Discrete Data Measured in specific Values/ numbers
Continuous Data numerical data that can be measured with an infinite number of values
Mean Measure of central location Average of the data set Add all the data points in a population and then divide the total by the number of points.
Median Measure of central location The middle value of a listed data set
Mode Measure of central location The value that occurs most often within a data set
Range The difference between the largest and the smallest values of a data set Range = largest value - smallest value
Interquartile Range A measure of variability, based on dividing a data set into quartiles
Variance The expectation of the squared deviation of a random variable from its mean Variance = std dev ²
Standard Deviation A quantity expressing by how much the members of a sample differ from the mean value for the group
Co-efficient of Variation The coefficient of variation is a measure of spread that describes the amount of variability relative to the mean. CV = Std Dev / Sample Mean
Skewness Measure of Normality The curve appears skewed either to the left or to the right
Kurtosis Measure of normality The sharpness of the peak of a distribution curve
cross-sectional data Data collected at a certain point in time across a number of units of interest
Time Series Data Data collected over time for the same units of interest
Covariance How changes in one variable are associated with changes in a second variable.
Correlation coefficient A measure of the linear relationship between two variables. A positive correlation represents two variables that move in the same linear direction (negative = opposite direction) Between -1 and 1
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