Which type of data would include likelihood ratios and percentages?

Quantitative data encompasses numerical values that can be measured and expressed mathematically. This type of data is used to quantify characteristics and can include a wide range of statistics, such as likelihood ratios and percentages, which are derived from calculations involving numerical data.

Likelihood ratios are used in statistics to provide a measure of how much more likely a particular outcome is given a specific factor, often employed in hypothesis testing and medical diagnostics. Percentages represent a way of expressing a number as a fraction of 100, making it easier to understand proportions relative to a whole and are typically calculated from raw numerical data.

In contrast, qualitative data refers to non-numerical information that describes qualities or characteristics, such as colors, names, or labels. Descriptive data focuses on summarizing the main features of a dataset, typically providing basic statistics like means or medians without delving into inferential methods or predictions. Inferential data involves making predictions or generalizations about a population based on a sample and often utilizes techniques that are dependent on quantitative measures.

Thus, the correct response emphasizes the nature of quantitative data as inherently numerical and capable of encompassing both likelihood ratios and percentages.