1.) Discrete: restricted to integers; ordinal subjective
Transforming continuous data into discrete or ordinal data can simplify analysis and interpretation, making it easier to identify patterns or trends. However, this transformation can lead to a loss of information and granularity, potentially obscuring important variations within the data. Additionally, discretization may introduce bias and affect the results of statistical analyses, as it can distort the underlying relationships present in the continuous dataset. Therefore, careful consideration is needed to balance the benefits of simplification with the risks of losing critical information.
Some manufacturing is discrete, some continuous.
continuous discrete
discrete
discrete
Transforming continuous data into discrete or ordinal data can simplify analysis and interpretation, making it easier to identify patterns or trends. However, this transformation can lead to a loss of information and granularity, potentially obscuring important variations within the data. Additionally, discretization may introduce bias and affect the results of statistical analyses, as it can distort the underlying relationships present in the continuous dataset. Therefore, careful consideration is needed to balance the benefits of simplification with the risks of losing critical information.
Some manufacturing is discrete, some continuous.
ocean depth is a continuous or discrete variable?
continuous discrete
Continuous.
Continuous
Continuous
discrete
discrete
discrete
Discrete.
continuous because discrete data involve a count of items