A frequency table. Learn to read your Statistics book next time.
A variable is a characteristic or attribute that can take on different values or categories, such as age, height, or temperature. An observation, on the other hand, refers to a specific measurement or instance of data collected for a variable in a study or experiment. In essence, variables are the qualities being measured, while observations are the actual data points that reflect those measurements.
No
discrete
A nominal variable is one where observations are classified to categories eg small, medium and large for t-shirts. A real variable is one that takes numerical values, such as shirt size 12, 14, 16 etc. A real value may be a continuous (as opposed to discrete) variable but the very act of recording the observation usually results in the continuous variable being replaced by a discrete one.
No. Income is a quantitative variable since it is measured in numbers instead of categories.
A category variable, also known as a categorical variable, is a type of variable that represents distinct categories or groups rather than numerical values. These variables can be nominal, with no inherent order (e.g., colors or types of animals), or ordinal, where there is a meaningful order among categories (e.g., ratings like "poor," "average," "excellent"). Categorical variables are often used in statistics and data analysis to classify data and perform group comparisons.
The law of variable proportion is basically a study of production functions. The factors used include fixed and variable factors.
A variable is a characteristic or attribute that can take on different values or categories, such as age, height, or temperature. An observation, on the other hand, refers to a specific measurement or instance of data collected for a variable in a study or experiment. In essence, variables are the qualities being measured, while observations are the actual data points that reflect those measurements.
No
direct proportion
Explain the Law of Variable Propotion
discrete
the answer is Variable Cost
Causes of law of variable proportions
Direct proportion means as the independent variable increases, the dependent variable increases, and vice versa. Inverse propostion means just the opposite. As the independent variable increses, the dependent variable decreases, and vice versa.
it elasticity
It means that your observation of the subject in question has not been constant or to plan.