Discrete data refers to specific and distinct values, while continuous data are values within a bounded or boundless interval. Discrete data and continuous data are the two types of numerical data used in the field of statistics.
Know MoreData is generally classified into two categories: descriptive and numerical. Descriptive data, also called qualitative or categorical data, are represented by words that characterize a set of values while numerical data, known as quantitative data, are denoted by numbers. In discrete data, the number of possible values is countable, while continuous data is measurable and can take on infinite values. Some examples of discrete data include shoe size, set of natural numbers and number of siblings. Distance, set of real numbers and mass are some common examples of continuous data.
Learn more about StatisticsQualitative data is data that is not numerical, such as colors, smells or tastes. Quantitative data is measurable with numbers, like height and weight. Objects can have both quantitative and qualitative data.
Full Answer >Statistics as a numerical fact is a piece of numerical information, also known as data, used to describe an event, occurrence or phenomena. Statistics as a discipline uses statistics or numerical pieces of information to solve problems in the everyday world and in academics. Those who work with statistics as a discipline are called statisticians.
Full Answer >Some examples of continuous variables are measuring people's weight within a certain range, measuring the amount of gas put into a gas tank or measuring the height of people. A continuous variable is any variable that can be any value in a certain range.
Full Answer >The main steps utilized in a statistical investigation include four components: clarifying the problem and formulating questions or hypotheses that can be answered with the data, designing or creating an appropriate experiment that can collect the data required, finding and using the appropriate techniques needed to accurately analyze the collected data, and interpreting the collected data and results so as to answer the questions and hypotheses that were proposed in the first place. The main steps in a statistical investigation are thought to be a cylindrical process that helps ensure that all procedures are completed logically. The aim of opening a statistical investigation is to answer the many questions that are present in the world, and is a technique that has been commonly applied by statisticians.
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