Age_(years)_of_Best_Actress_when_award_was_won Frequency 20-29 2630-39 3740-49 1250-59 360-69 470-79 280-89 1 Age (years) of Best Actress when award was won Cumulative Frequency Less than 30 nothing Less than 40 nothing Less than 50 nothing Less than 60 nothing Less than 70 nothing Less than 80 nothing Less than 90 nothing Construct the cumulative frequency distribution for the given data.
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
Age_(years)_of_Best_Actress_when_award_was_won Frequency
20-29 26
30-39 37
40-49 12
50-59 3
60-69 4
70-79 2
80-89 1
|
Age (years) of Best Actress when award was won
|
Cumulative Frequency
|
|---|---|
|
Less than 30
|
nothing
|
|
Less than 40
|
nothing
|
|
Less than 50
|
nothing
|
|
Less than 60
|
nothing
|
|
Less than 70
|
nothing
|
|
Less than 80
|
nothing
|
|
Less than 90
|
nothing
|
Construct the cumulative frequency distribution for the given data.
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