One-variable data, also called univariate data, refers to a set of observations describing a single characteristic or attribute. It focuses on measuring or recording one piece of information for each element in the dataset.

Explanation: The given image shows that one variable data contains a measuring set of observations.

Two-variable data refers to information that involves two sets of values that can be analyzed together. It’s commonly used in statistics and mathematics to understand the relationship between two things.

Explanation: The given image shows restaurant sales in a two-variable data model.

Probability is a number between 0 and 1, where 0 indicates impossibility and 1 indicates certainty. In a more formal sense, probability can be defined as the ratio of the number of favorable outcomes to the total number of possible outcomes in a given situation.

Explanation: The given image shows the probability formula, which represents the number of times a desired outcome occurs divided by the total number of possible outcomes.

A sample statistic is any quantity computed from values in a sample and used for statistical purposes. These purposes include estimating a population parameter, describing a sample, or evaluating a hypothesis. A common example of a statistic is the average of sample values.

Explanation: The given image illustrates the concept of a population and a sample of the population.