Competitive Exams: Statistics Glossary D to K

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Statistics Glossary: D to K

  • Data: The numerical information collected of variables.
  • Degree of freedom: The number of classes to which the value can be assigned arbitrarily or at will without violating the restrictions and limitations placed on the numbers of independent constraints in a set of data.
  • Dependent: Events whose occurrence or non-occurence doesn՚t affect the occurrence of the other event.
  • Event Dependent Variable: Variable which is cause or influence by another variable in a given phenomenon.
  • Descriptive Statistics: The numerical data which describes phenomena.
  • Directional Test: A test, used to compare two statistical values and predict that one is higher than the other or vice-versa.
  • Discrete Variable: A variable not capable of assuming all values in a given range or a variable which can be measured only by means of whole numbers.
  • Disjoint Occurrence: Two outcomes which doesn՚t happen simultaneously or which have nothing in common.
  • Distribution: Collection of measurements expressing how scores tend to spread over a measurement scale
  • Dispersion: The scatter or variability of the data about a given Central tendency.
  • Frequency: A diagram which displays the number of measures falling into different Histogram classes.
  • Frequency polygon: It is a graphic display in which frequencies are plotted against mid-points of the class-intervals & the points thus obtained, are join by a line segment.
  • Fiducial limits: The confidence limits are also known as Fiducial limits
  • Favorable Events: The trials, which entail the happening of an event, are favorable to the event.
  • Grouped Data: A set of values belonging to different groups.
  • Histogram: Graphic display of the frequency of a phenomenon.
  • Independent Variable: A variable that causes or influences another variable.
  • Independent Event: An event, whose occurrence or non-occurence, doesn՚t effect the occurrence of the other event in any way.
  • Inference: Conclusion about a population parameter based upon the analysis of a sample statistic (sample being drawn from same population) .
  • Inter-Quartile Range: It is the difference between the upper (Q3) and the lower quartile (Q1) inclusive.
  • Interval: A scale, which uses numbers to rank order.
  • Intercept: The value of the ordinate (Y) at which a straight line crosses the vertical axis.
  • Joint Occurrence: An occurrence in which two outcomes happen simultaneously (AB or ACB) .
  • Kurtosis: It is the degree of flatness or peakedness, in the region of the mode of frequency curve.