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A statistical variable is any set of observations in which the observations can be different. They need not be numeric or even ordered: for example, people's first names or the colour of cars. They can be ordered but still not numeric: for example, questions where you are asked to say whether you strongly disagree, disagree, are neutral, agree or strongly agree. Or they can be numeric, for example your age or height or a combination of your height and mass in the form of your BMI.
Essentially, it is any characteristic that can be "measured", and measured does not mean only in numeric terms.
What else can I help you with?
What are the classification of variables according to continuity of values in statistics?
what are the classification of variables
What is the independent variables for temperature and paintball performance?
statistics
What is Meaning of Regression in Statistics?
It measures associations between variables.
What are summary descriptors of data variables of interest in the population?
Sample statistics
What are 3 types of variables?
There are many ways of categorising variables. One classification, used in statistics, is Nominal, Ordinal and Interval.
What are explanatory and response variables in statistics?
Explanatory and Response variables are just fancy words for independent and dependent variables. Explanatory is the independent variable and response is the dependent variable.
What term refers to the descriptors of variables computed from sample data used to estimate those same variables in the population?
Sample Statistics
What are Numerical and pictorial information about variables are called?
Analytical statistics
What is bivariat data?
In statistics, bivariate data refers to data that comes with two variables.
What does collinear in statistics?
Two or more explanatory variables are collinear when they have a linear relationship with each other. You are usually expected to remove at least one of the variables from your multiple regression analysis.
Which descriptive statistics are appropriate for qualitative variables and what are appropriate for quantitative variables and why?
For qualitative variables, appropriate descriptive statistics include frequencies and proportions, as they help summarize categorical data and show the distribution of different categories. For quantitative variables, measures such as mean, median, mode, range, variance, and standard deviation are suitable because they provide insights into the central tendency, spread, and overall distribution of numerical data. The choice of statistics depends on the nature of the data: qualitative data is categorical and non-numeric, while quantitative data is numeric and can be measured.
What are the 3 types of viriable?
The three types of variables commonly used in research and statistics are independent variables, dependent variables, and controlled variables. Independent variables are manipulated or changed to observe their effect, while dependent variables are the outcomes measured in response to the independent variables. Controlled variables are kept constant to ensure that the results are due to the independent variable alone. This framework helps clarify cause-and-effect relationships in experiments.
