Final answer:
Traditional statistics uses a set of concepts and techniques for describing populations and samples, employing random sampling to ensure that a population is accurately represented. Data in statistics are categorized as qualitative or quantitative, with quantitative data being further divided into continuous and discrete. The aim of traditional statistics is to enable inference about a population based on sample data.
Step-by-step explanation:
Traditional statistics consists of a set of concepts and techniques that are used to describe populations and samples. This field encompasses methods for collecting, analyzing, interpreting, and presenting data. Data can be classified as qualitative (categorical) or quantitative, which is further divided into continuous or discrete. In order to gather information about an entire population, which includes all individuals or objects of interest, researchers often use a sample that represents the population. To ensure representativeness and reduce bias, various methods of random sampling are employed, where each member of the population has an equal chance of being selected.
Sampling is necessary because studying every member of a population is usually impractical or impossible. A random sample, for instance, could involve a simple random sample where each subset of the population has an equal chance of being chosen. For example, if Lisa wants to select a study group from her class, she could use random sampling by drawing names out of a hat or assigning numbers to each class member and using a random number generator to pick.