Transcription of t-Test Statistics
{{id}} {{{paragraph}}}
Example: bachelor of science
t-Test Statistics
1t-Test Statistics Overview of Statistical Tests Assumption: Testing for Normality The Student s t-distribution Inference about one mean (one sample t-Test ) Inference about two means (two sample t-Test ) Assumption: F-test for Variance Student s t-Test - For homogeneous variances- For heterogeneous variances Statistical Power2 Overview of Statistical TestsDuring the design of your experiment you mustspecify what statistical procedures you will require at least 3 pieces of info:Type of VariableNumber of VariablesNumber of SamplesThen refer to end-papers of Sokal and Rohlf (1995)-REVIEW-3 AssumptionsVirtually every statistic, parametric or nonparametric,has assumptions which must be met priorto the application of the experimental designand subsequent statistical will discuss specific assumptions associated with individual tests as they come all parametric Statistics have anassumption that the data come from a populationthat follows a known of the tests we will evaluate in this module require a normal distribution.
7-2 -1 0 1 2 2.0 2.2 2.4 2.6 2.8 3.0 Normal Q-Q Plot Theoretical Quantiles Sample Quantiles Example in R (Tutorial-3) 8 Anderson-Darling test …
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
Related search queries
Tutorial 3: Power and Sample Size for the Two, Sample, Power, Tutorial Gpower, Sample size, Size, Brief Tutorial on Machine Vibration, Tutorial, Techniques for Frequency Stability Analysis, Tutorial 3, Image Processing Tutorial Basic Concepts, Tips Tools Troubleshooting Guide-RFT, Licensed Electricians Practical Assessment LEP, Industrial Hygiene and Safety Instrumentation, DSPACE and Real-Time Interface in Simulink, 3 dSPACE and Real-Time Interface in Simulink