Difference between revisions of "Degrees of freedom"
Jump to navigation
Jump to search
| Line 1: | Line 1: | ||
| − | Degrees of freedom | + | Degrees of freedom can be described as the number of independent pieces of information. In estimating the variation around a single mean the degrees of freedom will be (n-1). If we are estimating the variation around a line of a graph, the degrees of freedom would be (n-2) since two parameters have been estimated to position the line. |
| + | |||
| + | Part of [[T-distribution|T-distribution]] | ||
| + | Part of [[M7-Quantitative Decision Methods-S3 - Normal Distribution and confidence intervals|M7-Quantitative Decision Methods-S3 - Normal Distribution and confidence intervals]] | ||
[[Category:mbi]] | [[Category:mbi]] | ||
Latest revision as of 19:54, 27 August 2020
Degrees of freedom can be described as the number of independent pieces of information. In estimating the variation around a single mean the degrees of freedom will be (n-1). If we are estimating the variation around a line of a graph, the degrees of freedom would be (n-2) since two parameters have been estimated to position the line.
Part of T-distribution Part of M7-Quantitative Decision Methods-S3 - Normal Distribution and confidence intervals
