Competitive Exams: Statistics Glossary A to C

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Statistics Glossary: A to C

Attribute: A qualitative characteristic of an individual which can be expressed numerically is called an attribute.
Alternative Hypothesis: It is a researcher's hypothesis.
Bar chart: It is a graphic display of how the data falls into different categories or groups.
Bar chart: It is a graphic display of how the data falls into different categories or groups.
Bias: Over-estimation of a true value.
Bi-Model: A frequency curve having two scores of highest frequency of equal values.
Binomial: An event having only two possible outcomes, say success and failure.
Bivariate: Involving two variables.
Box & WhiskersCentral (Box Plot): It is a graphical display of data pointing out the symmetry and the tendency
Central Tendency (Center of location): A single value which can be considered as typical or representative of a set of observations and around which the observations can be considered as centered.
Chi-square: It is a non-parametric test used to test the independence of two nominal variables.
Class frequency: The number of observations that fall into each class.
Class Intervals: Groups containing the frequency distributions.
Confidence Interval: The limits or the range of values, that the population parameter could possess, at a given level of significance.
Continuous Variable: A variate capable of assuming all the numerical values in a given range.
Correlation Coefficient: It is the measure of the degree, or extent to which, two variables possess a linear relationship.
Critical Region: The region in which, a Z-score lies and which leads a researcher to reject the set-up null hypothesis.
Critical value: The computed value of a statistic which is used as a threshold to determine whether the null-hypothesis will be rejected.
Compound Probability: The probability of the occurrence of two events.
Co-variance: It is the square of the standard deviations.
Cumulative frequency: The total frequency of all values less than or equal to the upper class boundary of a given class-interval and vice-versa.