How to Find Probabilities using Two-Way Frequency Tables?

How to Find Probabilities using Two-Way Frequency Tables?

In this article, you will learn how to find probabilities using Two-Way Frequency Tables in a few simple steps. For education statistics and research, visit the National Center for Education Statistics.

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Step by step guide to Find Probabilities using Two-Way Frequency Tables

The information obtained from research is often a mass of raw, meaningless, and disordered information that makes it impossible to draw any conclusions or interpret it. Therefore, for any type of data analysis, it is necessary to classify the data according to a logical order to make it meaningful and interpretable. Classification of data requires the step-by-step calculation of the amplitude of changes, number of classes, class interval, and types of frequencies using specific formulas. In data classification, all the information is collected in a table called the Frequency Table, and this table should be the basis for calculating the Central Index, Dispersion Index, and comparing a group of data with other groups for statistical inference. For education statistics and research, visit the National Center for Education Statistics.

The frequency table consists of one category for rows and the other for columns. Each row represents the characteristics of a class or category. The attributes for each row are also listed in the columns. For example, if we consider blood type, the category name for each row is one of the blood groups such as \(A, AB, B\) or \(O\).

The number of iterations of any value in a category column is called the “frequency”. This value is placed in the frequency column.

If we divide the frequency of each category by the sum of the frequencies, we get the “relative frequency”. If we show the total number of frequencies in the frequency table by \(n\), we can use the following mathematical relation to illustrate how the relative frequency is calculated:

\(ri=\frac{fi}{n}\)

Finding Probabilities using Two-Way Frequency Tables Example 1:

Each student in a random sample of seniors at a local high school participated in a survey. These students were asked to indicate their gender and their eye color. The following table summarizes the results of the survey.

a) Suppose that one of these seniors is randomly selected. What is the probability that the selected student has green eyes?

b) Suppose that one of these seniors is randomly selected. What is the probability that the selected student is a female?

Brown Blue Green Total
Male 50 17 9 76
Female 43 14 6 63
Total 93 31 15 139

Solution:

a) \(\frac{number \ of students \ with \ green \ eyes}{number \ of \ students}=\frac{15}{139}\)

b) \(\frac{number \ of \ females}{number \ of \ students}=\frac{63}{139}\)

Finding Probabilities using Two-Way Frequency Tables Example 2:

Students were asked what their hair color was; the results are shown below. If a boy is selected at random, find the probability that the boy has brown hair.

Black hair brown hair Blond hair Total
Boys 32 13 3 48
Girls 26 16 9 51
Total 58 29 12 99

Solution: \(\frac{number \ of \ boys \ with \ brown \ hair}{number \ of \ students}=\frac{13}{99}\)

Exercises for Finding Probabilities using Two-Way Frequency Tables

Solve all the problems.

1) The two-way table shows the distribution of members of the audience at a play.

Circle Balcony Stalls Total
Children 32 64
Adults 20 13
Total 50 35 30 115

a) Complete the two-way tables.

b) What is the probability that a randomly chosen audience member is a child and is seated in the circle?

c) What is the probability that a randomly chosen audience member is a child?

2) The following table represents the data collected from 120 conference attendees of different nationalities:

Arabic
Speaker
English Speaker French Speaker Total
Man 43
Woman 15 12 44
Total 35 60 25 120

a) Complete the two-way tables.

b) Find the probability that a randomly selected participant is an English-speaking woman.

1)

Circle Balcony Stalls Total
Children 32 \(\color{blue}{15}\) \(\color{blue}{17}\) 64
Adults \(\color{blue}{18}\) 20 13 \(\color{blue}{51}\)
Total 50 35 30 115

b) Probability: \(\frac{32}{115}\)

c) Probability: \(\frac{64}{115}\)

2)

Arabic
Speaker
English Speaker French Speaker Total
Man \(\color{blue}{20}\) 43 \(\color{blue}{13}\) \(\color{blue}{76}\)
Woman 15 \(\color{blue}{17}\) 12 44
Total 35 60 25 120

b) Probability: \(\frac{17}{120}\)

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