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Contingency Table Test for Independence using TI84 Problem: JK10 page 633 Example 11.5 Null hypothesis : The preference for math science, social science, or humanities (the columns) is independent
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How to fill out contingency tables form

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How to Fill Out Contingency Tables:

01
Identify the categorical variables: The first step in filling out a contingency table is to identify the categorical variables that you want to analyze. These variables can be anything that can be classified into distinct categories, such as gender, age groups, or preferences.
02
Determine the categories: Once you have identified the categorical variables, determine the categories within each variable. For example, if the variable is "gender," the categories could be "male" and "female." Make sure you have a comprehensive list of all possible categories.
03
Collect the data: In order to fill out a contingency table, you need to collect the data for each category within the variables. This can be done through surveys, interviews, observations, or any other method that allows you to gather information from a sample or population.
04
Organize the data: Once you have collected the data for each category, organize it in a way that is suitable for creating a contingency table. Typically, the data is presented in a matrix format, where the rows represent one variable's categories and the columns represent the other variable's categories.
05
Count the frequencies: In each cell of the contingency table, count the number of occurrences or frequencies for each combination of categories. For example, if you have a variable for "gender" and a variable for "age groups," count how many males fall into each age group, and how many females fall into each age group.

Who Needs Contingency Tables:

01
Researchers and scientists: Contingency tables are commonly used in research and scientific studies to analyze and understand the relationships between categorical variables. They help in drawing conclusions and making statistical inferences based on the patterns observed in the data.
02
Business analysts: Contingency tables are also useful in the business world. Analysts can use them to analyze customer preferences, market segmentation, and other categorical variables that can impact business decisions, such as product development, marketing strategies, and customer targeting.
03
Educators and statisticians: Educators, especially those teaching statistics and data analysis, often use contingency tables to teach students about categorical data analysis. Statisticians, on the other hand, may use contingency tables to assess the significance of relationships between variables and to explore potential associations.
In conclusion, filling out contingency tables involves identifying categorical variables, determining categories, collecting data, organizing the data, and counting the frequencies. Contingency tables are used by researchers, business analysts, educators, and statisticians to analyze data, draw conclusions, and make informed decisions.
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Contingency tables are a statistical tool used to display the relationship between two or more categorical variables.
Contingency tables may be required to be filed by individuals or organizations as part of reporting requirements in certain industries or research projects.
Contingency tables are filled out by organizing data into rows and columns based on the variables being analyzed, and then calculating frequencies or percentages to display the relationship between the variables.
The purpose of contingency tables is to analyze the association between categorical variables and identify any patterns or trends in the data.
Contingency tables must report the frequency or percentage of each combination of categories for the variables being studied.
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