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Flashcards

Ch 1-3

Brittany Shurack statistics undergraduate English 37 cards

Cards in this deck (37)

  1. 1Descriptive statisticsThe summary of a data set in the form of tables, graphs, or numerical measures.
  2. 2Inferential statisticsThe practice of extracting useful information from a sample to draw conclusions about a population.
  3. 3populationAll members of a specified group.
  4. 4SampleA subset of a population of interest.
  5. 5Sample statisticA random variable used to estimate the unknown population parameter of interest.
  6. 6Population parameterA characteristic of a population.
  7. 7Cross-sectional dataObservations of a characteristic of many subjects at the same point in time or approximately the same point in time.
  8. 8Structured dataData that conform to a predefined row-column format.
  9. 9Unstructured dataData that do not conform to a predefined row-column format.
  10. 10Big dataA massive volume of both structured and unstructured data that are often difficult to manage, process, and analyze using traditional data processing tools.
  11. 11VolumeOne of the V’s describing big data; an immense amount of data is compiled from a single source or a wide range of sources.
  12. 12VelocityOne of the V’s describing big data; data from a variety of sources get generated at a rapid speed.
  13. 13VarietyOne of the V’s describing big data; data come in all types, forms, and granularity.
  14. 14VeracityOne of the V’s describing big data; refers to the credibility and quality of data.
  15. 15ValueOne of the V’s describing big data; information derived from big data should have value.
  16. 16VariableA general characteristic being observed on a set of people, objects, or events, where each observation varies in kind or degree.
  17. 17Categorical variable (qualitative)A variable that uses labels or names to identify the distinguishing characteristics of observations.
  18. 18Numerical variable (quantitative)A variable that assumes meaningful numerical values for observations.
  19. 19Discrete (random) variableA variable that assumes a countable number of values.
  20. 20Continuous (random) variableA variable that assumes uncountable values in an interval.
  21. 21Nominal scaleObservations of a variable differ merely by name or label.
  22. 22Ordinal scaleObservations of a variable can be categorized and ranked.
  23. 23Interval scaleObservations of a variable can be categorized and ranked, and differences between observations are meaningful.
  24. 24Ratio scaleObservations of a variable can be categorized and ranked, differences between observations are meaningful, and a true zero point (origin) exists.
  25. 25Omission strategyWhen missing values exist, this strategy recommends excluding these observations from subsequent analysis.
  26. 26Imputation strategyWhen missing values exist, this strategy recommends replacing them with some reasonable imputed values.
  27. 27SubsettingThe process of extracting a portion of a data set.
  28. 28Frequency distributionA table that groups the observations of a variable into categories or intervals and records the number of observations that fall into each category or interval.
  29. 29Bar chartA graph that depicts the frequency or relative frequency of each category of a categorical variable as a series of horizontal or vertical bars, the lengths of which are proportional to the values that are to be depicted.
  30. 30Pie chartA segmented circle portraying the categories and relative sizes for a categorical variable.
  31. 31Contingency tableA table that shows frequencies for two categorical variables, x and y, where each cell represents a mutually exclusive combination of the pair of x and y observations.
  32. 32Stacked column chartGraph of a contingency table; depicts more than one categorical variable and allows for the comparison of composition within each category.
  33. 33HistogramA graphical depiction of a frequency or a relative frequency distribution for a numerical variable; series of rectangles where the width and height of each rectangle represent the interval width and frequency (or relative frequency) of the respective interval.
  34. 34PolygonFor a numerical variable, a graph of a frequency or relative frequency distribution in which lines connect a series of neighboring points, where each point represents the midpoint of a particular interval and its associated frequency or relative frequency.
  35. 35Scatterplot with a categorical variableA modification of a basic scatterplot that incorporates a categorical variable.
  36. 36Line ChartA graph that connects the consecutive observations of a numerical variable with a line.
  37. 37Stem-and-leaf diagramA visual method of displaying a numerical variable where each observation is separated into two parts: a stem, which consists of the leftmost digits, and a leaf, which consists of the last digit.

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undergraduate statistics Flashcards on Ch 1-3, created by Brittany Shurack on 09/09/2021.
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