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jamovi (stylised in all lower-case) is a free and open-source computer program for data analysis and performing statistical tests. The core developers of jamovi are Jonathon Love, Damian Dropmann, and Ravi Selker, who were developers for the JASP project.
This halves reliability estimate is then stepped up to the full test length using the Spearman–Brown prediction formula. There are several ways of splitting a test to estimate reliability. For example, a 40-item vocabulary test could be split into two subtests, the first one made up of items 1 through 20 and the second made up of items 21 ...
There are a few reviews of free statistical software. There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics of software, such as ease of use, having a number of statistical procedures and ability to develop new procedures.
"A Short Preview of Free Statistical Software Packages for Teaching Statistics to Industrial Technology Majors" (PDF). Journal of Industrial Technology. 21 (2). Archived from the original (PDF) on October 25, 2005.
Until the development of tau-equivalent reliability, split-half reliability using the Spearman-Brown formula was the only way to obtain inter-item reliability. [4] [5] After splitting the whole item into arbitrary halves, the correlation between the split-halves can be converted into reliability by applying the Spearman-Brown formula.
For the American musician, see Wayne Nelson.. Wayne Nelson is an American statistician. His main contributions to the reliability theory are the Nelson-Aalen Estimator for lifetime data, various statistical procedures for accelerated life testing and both: nonparametric and parametric procedures for recurrent data analysis.
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Stress-Strength Analysis is a tool used in reliability engineering. Environmental stresses have a distribution with a mean ( μ x ) {\displaystyle \left(\mu _{x}\right)} and a standard deviation ( s x ) {\displaystyle \left(s_{x}\right)} and component strengths have a distribution with a mean ( μ y ) {\displaystyle \left(\mu _{y}\right)} and a ...