10.1

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What is categorical data?

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Categorical data refers to data that can be divided into groups or categories, often represented by names or labels, such as survey responses.

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What is an example of categorical data?

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An example of categorical data is whether someone is a 'High School Graduate' or 'Not'.

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What is numerical data?

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Numerical data refers to data that is expressed in numbers and can be measured or counted, such as height, weight, or age.

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What does bivariate data mean?

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Bivariate data involves two different variables and is used to determine the relationship between them.

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How can you classify data based on its characteristics?

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Data can be classified as categorical or numerical, and further categorized as univariate (one variable) or bivariate (two variables).

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What is the significance of population density in data analysis?

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Population density can affect various measurements and averages, such as the average circumference of trees, indicating how environmental factors influence data.

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How do you interpret survey results that provide numerical data?

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Numerical survey results can be analyzed to determine averages, ranges, and distributions, providing insights into the population being studied.

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What is the importance of understanding percentages in survey data?

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Understanding percentages helps to interpret the proportion of a population that meets certain criteria, such as the percentage of adults using a specific cell phone provider.

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How do you calculate the number of employees within a specific salary range?

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To calculate the number of employees within a specific salary range, you can analyze the data set to count the entries that fall within that range.

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What is the difference between qualitative and quantitative data?

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Qualitative data is descriptive and categorical, while quantitative data is numerical and can be measured.