for your variables, specifically noting the following: For your continuous varia
ID: 3272806 • Letter: F
Question
for your variables, specifically noting the following: For your continuous variable: 1. Report the mean, median, and mode. 2. What might be the better measure for central tendency? (i.e., mean, median, or mode) and why? 3. Report the standard deviation. 4. How variable are the data? 5. How would you describe this data? 6. What sort of research question would this variable help answer that might inform s Post the following information for your categorical variable: 1. A frequency distribution. 2. An appropriate measure of variation. 3. How variable are the data? 4. How would you describe this data? 5. What sort of research question would this variable help answer that might inform social change? Be sure to support your Main Post and Response Post with reference to the week's Learning Resources and other scho evidence in APA StyleExplanation / Answer
Continuous variable:
4.In general, variables (and data) either represent measurements on some continuous scale, for example, the weight, height, and age of respondents in a survey would represent continuous variables; in industrial or medical applications, survival/failure times are also continuous variables.
5.A continuous variable/data is one that can take any real numerical value. The length of a strip can be anything. A person's height and age can take any real values, within reasonable limits.Continuous data are not restricted to defined separate values, but can occupy any value over a continuous range. Between any two continuous data values there may be an infinite number of others. Continuous data are always essentially numeric.
It sometimes makes sense to treat numeric data that is properly of one type as being of the other. For example, something like height is continuous, but often we don't really care too much about tiny differences and instead group heights into a number of discrete bins.
Categorical variable:
4. A categorical variable is one that has two or more categories (values). There are two types of categorical variable, nominal and ordinal. A nominal variable has no intrinsic ordering to its categories. For example, gender is a categorical variable having two categories (male and female) with no intrinsic ordering to the categories. An ordinal variable has a clear ordering. For example, temperature as a variable with three orderly categories (low, medium and high).
5.Categorical variables represent types of data which may be divided into groups. Examples of categorical variables are race, sex, age group, and educational level. While the latter two variables may also be considered in a numerical manner by using exact values for age and highest grade completed, it is often more informative to categorize such variables into a relatively small number of groups.
Analysis of categorical data generally involves the use of data tables. A two-way table presents categorical data by counting the number of observations that fall into each group for two variables, one divided into rows and the other divided into columns. For example, suppose a survey was conducted of a group of 20 individuals, who were asked to identify their hair and eye color. A two-way table presenting the results might appear as follows:
The totals for each category, also known as marginal distributions, provide the number of individuals in each row or column without accounting for the effect of the other variable (in the example above, the total number of individuals with blue eyes, regardless of hair color, is 5).
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