what are the classification of variables
Not continuous => Discrete variable. Continuous => Continuous variable.
statistics
It measures associations between variables.
Yes, a phone number is considered a nominal variable in statistics. Nominal variables are categorical data that represent distinct categories without a meaningful order or ranking. Since phone numbers are used to identify individuals or entities and do not have inherent numerical value or order, they fit this classification.
In statistics, bivariate data refers to data that comes with two variables.
Not continuous => Discrete variable. Continuous => Continuous variable.
There are many ways of categorising variables. One classification, used in statistics, is Nominal, Ordinal and Interval.
statistics
It measures associations between variables.
The classic four Ps classification of marketing mix variables (product, price, promotion, and place) emerged as a marketing principle.
Yes, a phone number is considered a nominal variable in statistics. Nominal variables are categorical data that represent distinct categories without a meaningful order or ranking. Since phone numbers are used to identify individuals or entities and do not have inherent numerical value or order, they fit this classification.
Sample 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.
Sample Statistics
Analytical statistics
In statistics, there are two main types of random variables: discrete random variables and continuous random variables. Discrete random variables take on a countable number of distinct values, such as the outcome of rolling a die. In contrast, continuous random variables can take on an infinite number of values within a given range, such as the height of individuals. Each type has its own probability distribution and methods of analysis.
In statistics, bivariate data refers to data that comes with two variables.