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06:50 Lesson 5.2. NP test for Two Indep Samples a Lesson 5.2. NP test for Two Indep Samples a	Lesson 5.2. NP test for Two Indep Samples a phs520 l05 sample test distribution question size assumption hypothesis wilcoxon parametric samples variable module sum rank definition outlier parameter sense methods alternative From Chulapol Thanomsing 0 likes 48 plays 0 Usage Course Material
10:24 Lesson 5.1. NP test for Paired Samples c Lesson 5.1. NP test for Paired Samples c	Lesson 5.1. NP test for Paired Samples c phs520 l05 test rank sample size distribution assumption difference methods outliers hypothesis outlier conclusion statistic differences median parametric statistics signal advantages summary From Chulapol Thanomsing 0 likes 54 plays 0 Usage Course Material
09:29 MCREU Presentation MCREU Presentation	MCREU Presentation MCREU 2020: Using Hidden Markov Models to Detect Learning Stages by Difference in Electrical Activities of the Brain. In order to return to the website:… markov learning eeg models analysis component hmms probability stage stages characteristics process assumption knowledge questions variation pca signals dimensions signal From Venkata Sai Renusree Bandaru 5 likes 301 plays 0
07:42 Lesson 4.3. Two Sample Test w Equal Var b Lesson 4.3. Two Sample Test w Equal Var b	Lesson 4.3. Two Sample Test w Equal Var b sample test distribution assumption size deviation freedom situation rule degree ratio alright hypothesis sigma sas sum thumb result statistics s1 From Chulapol Thanomsing 0 likes 55 plays 0
13:18 Lesson 2.5. CI for mean large N c Lesson 2.5. CI for mean large N c	Lesson 2.5. CI for mean large N c phs520 l02 confidence interval sample width assumption population bias level times amount limit error size sem margin minus independence observation statement alright From Chulapol Thanomsing 0 likes 43 plays 0 Usage Course Material

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Search for tag: "assumption"

Lesson 5.2. NP test for Two Indep Samples a

Lesson 5.1. NP test for Paired Samples c

MCREU Presentation

Lesson 4.3. Two Sample Test w Equal Var b

Lesson 2.5. CI for mean large N c