Two-Way Relative Frequency Tables

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Two-Way Frequency Tables
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Presentation transcript:

Two-Way Relative Frequency Tables Essential Question? How can categorical data be organized and analyzed? 8.SP.4

Common Core Standard: 8.SP ─ Investigate patterns of association in bivariate data. 4. Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables. For example, collect data from students in your class on whether or not they have a curfew on school nights and whether or not they have assigned chores at home. Is there evidence that those who have a curfew also tend to have chores?

Objectives: To organize and analyze categorical data.

Creating a Relative Frequency Table The frequency table below shows the results of a survey that Maria took at her school. She asked 50 randomly selected students whether they preferred dogs, cats, or other pets. Convert this table to a relative frequency table that uses decimals as well as one that uses percents. Preferred Pet Dog Cat Other TOTAL Frequency 22 15 13 50 Divide the numbers in the frequency table by the total to obtain relative frequencies as decimals. Preferred Pet Dog Cat Other TOTAL Frequency 22 50 =0.44 Convert the decimals to percents. Preferred Pet Dog Cat Other TOTAL Frequency 44%

Creating a Relative Frequency Table Preferred Pet Dog Cat Other TOTAL Frequency 22 15 13 50 Preferred Pet Dog Cat Other TOTAL Frequency (decimals) 22 50 =0.44 15 50 =0.3 13 50 =0.26 0.44+0.3+0.26 =1 Preferred Pet Dog Cat Other TOTAL Frequency (percents) 44% 30% 26% 100% How can you check that you have correctly converted frequencies to relative frequencies? Explain why the number in the TOTAL column of a relative frequency table is always 1 or 100%.

Creating a Two-Way Frequency Table In the previous table, the categorical variable was pet preference, and the variable had three possible data values: dog, cat, and other. The frequency table listed the frequency for each value of that single variable. If you have two categorical variables whose values have been paired, you list the frequencies of the paired values in a two-way frequency table

Creating a Two-Way Frequency Table For her survey, Maria also recorded the gender of each student. The results are shown in the two-way frequency table below. Each entry is the frequency of students who prefer a certain pet and are a certain gender. For instance, ten girls prefer dogs as pets. Complete the table. Preferred Gender Pet Dog Cat Other TOTAL Girl 10 9 3 Boy 12 6 Where have you seen the numbers in the TOTAL row before? In terms of Maria’s survey, what does the grand total represent? What does the number 28 in the last column represent? What does the number 9 represent in the frequency table?

Two-Way Relative Frequency Tables You can obtain relative frequencies from a two-way frequency table: • A joint relative frequency is found by dividing a frequency that is not in the Total row or the Total column by the grand total. • A marginal relative frequency is found by dividing a row total or a column total by the grand total. • A two-way relative frequency table displays both joint relative frequencies and marginal relative frequencies.

Two-Way Relative Frequency Tables Create a two-way relative frequency table for Maria’s data. Preferred Gender Pet Dog Cat Other TOTAL Girl 10 9 3 22 Boy 12 6 28 15 13 50 Divide each number in the two-way frequency table by the grand total. Convert to decimals. Preferred Gender Pet Dog Cat Other TOTAL Girl Boy 10 50 =0.2 9 50 =0.18 3 50 =0.06 22 50 =0.44 12 50 =0.24 22 50 =0.44 50 50 =1

Two-Way Relative Frequency Tables Preferred Gender Pet Dog Cat Other TOTAL Girl Boy 10 50 =0.2 9 50 =0.18 3 50 =0.06 22 50 =0.44 12 50 =0.24 6 50 =0.12 10 50 =0.2 28 50 =0.56 22 50 =0.44 15 50 =0.3 13 50 =0.26 50 50 =1 A joint relative frequency tells you what portion of the entire data set falls into the intersection of a column and a row. What is the joint relative frequency of students surveyed who are boys and prefer cats as pets? A marginal relative frequency tells you what portion of the entire data set represents just one column or row. What is the marginal relative frequency of students surveyed who are boys?

Conditional Relative Frequency One other type of relative frequency that you can obtain from a two-way frequency table is a conditional relative frequency. A CONDITIONAL RELATIVE FREQUENCY is found by dividing a frequency that is not in the Total row or the Total column by the frequency’s row total or column total.

Calculating Conditional Relative Frequencies From Maria’s two-way frequency table you know that 22 students are girls and 15 students prefer cats. You also know that 9 students are girls who prefer cats. Use this to find each conditional relative frequency. Preferred Gender Pet Dog Cat Other TOTAL Girl 10 9 3 22 Boy 12 6 28 15 13 50 Find the conditional relative frequency that a student surveyed prefers cats as pets, given that the student is a girl. Divide the number of girls who prefer cats by the number of girls. Express your answer as a decimal and as a percent. 9 22 =0.409, or 40.9%

Calculating Conditional Relative Frequencies From Maria’s two-way frequency table you know that 22 students are girls and 15 students prefer cats. You also know that 9 students are girls who prefer cats. Use this to find each conditional relative frequency. Preferred Gender Pet Dog Cat Other TOTAL Girl 10 9 3 22 Boy 12 6 28 15 13 50 Find the conditional relative frequency that a student surveyed is a girl, given that the student prefers cats as pets. Divide the number of girls who prefer cats by the number of students who prefer cats. Express your answer as a decimal and as a percent. 9 15 = 0.6, or 60%

Finding Possible Associations Between Variables You can use conditional relative frequency to see if there is an association between two variables. Let’s consider the following, regarding Maria’s table: Maria conducted a survey that asked the question “For students at my school, is there a gender-specific difference in pet preference?” If there is no gender-specific difference, then the distribution of gender within each subgroup of pet preference should roughly equal the distribution of gender within the whole group. Use the results of Maria’s survey to investigate possible differences in pet preference between genders.

Finding Possible Associations Between Variables STEP 1: Identify the percent of all students surveyed who are girls: 44% STEP 2: Determine each conditional relative frequency. Of the 22 students who prefer dogs as pets, 10 are girls. Percent who are girls, given a preference for dogs as pets: 45% Of the 15 students who prefer cats as pets, 9 are girls. Percent who are girls, given a preference for cats as pets: 60% Of the 13 students who prefer other pets, 3 are girls. Percent who are girls, given a preference for other pets: 23%

Finding Possible Associations Between Variables STEP 3: Interpret the results by comparing each conditional relative frequency to the percent of all students surveyed who are girls. The percent of girls among students who prefer dogs is close to 44%, so there does not appear to be a gender-specific preference for dogs. The percent of girls among students who prefer cats is much greater than 44%, so girls are more likely than boys to prefer cats. The percent of girls among students who prefer other pets is much less than 44%, so girls are less likely than boys to prefer other pets.