# ICMR NET: Statistics Glossary a to C

Dr. Manishika Jain- Join online Paper 1 intensive course. Includes tests and expected questions.

## 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.

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