A statistical table contains several components designed to illustrate the data, including a title for the table, the table number, the heading and subheadings, the table body, the table spanner, dividers and table notes. Tables are used to display data obtained from an experiment and are often included in lab reports or research papers and presentations.Know More
The title of the table provides a description of the contents. It may include the groups, their classifications and the variables. The title should never be more than one or two lines. Table numbers are needed to refer to a specific set of values being discussed. This is especially useful if there are multiple tables.
Headings and subheadings identify and establish the order of the data. Column headings and column spanners are included in headings and subheadings. The table body is where the bulk or meat of the data is located. This includes any means, percentages, frequencies or other values found that are significant. Table spanners divide data in a table without the addition of another column. Dividers are horizontal lines that separate different parts of the table. Finally, table notes explain any information that is included in the table, including definitions and abbreviations.Learn More
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 >
Linear regression is a curve-fitting strategy that approximates a function from given data. It plots a straight line through a curve without necessarily touching the data points. Since the approximated function is linear, it follows the formula: y = mx + b.Full Answer >
Some of the methods by which data can be collected for a statistical study are interviews, questionnaires, focus groups, field studies, direct observation, surveys, testing and experimenting. Depending on the nature of the study, the data-collection method can be based on either primary or secondary sources or a combination of both. Primary-source data collection refers to that which is obtained directly by the team conducting the study, while secondary-source data collection is obtained through a third-party source or data base such as a government census, research compilation or from organizational records.Full Answer >
Meta-analysis is where data from multiple studies on the same subject are combined to give a greater overall data pool to establish results from. These combined results give better support to the statistical information that has been gathered.Full Answer >