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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 & Whiskers    Central         [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.


Table - A :Area under standard normal Curve
Table - B :Values of Chi-Square
Table - C :Values of modit

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