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05:24 Defects Detection and Classification on Metallic… Defects Detection and Classification on Metallic Surfaces	Defects Detection and Classification on Metallic Surfaces Inspecting metallic parts is a challenging task and is in demand in various manufacturing quality control applications. Computer Visions (CV), Machine Learning (ML) and Deep Learning (DL) are… defects model marks surfaces process detection belt image dance inspection arm classification object option conveyor camera components factions operation confidence From James McGlade 0 likes 10 plays 0 Usage Academic Research
17:58 Tutorial 2: Video-e Tutorial 2: Video-e	Tutorial 2: Video-e phs520 tutorial02 test treatment sample variable fev interval confidence hypothesis minus rank wilcoxon variance statement statistic situation grouping measure groups parametric sum From Chulapol Thanomsing 0 likes 371 plays 0 Usage Course Material
10:10 Tutorial 2: Video-d Tutorial 2: Video-d	Tutorial 2: Video-d phs520 tutorial02 test interval confidence treatment sample question hypothesis competence patients baseline alright rank conclusion result evidence liters bit point tests univariate From Chulapol Thanomsing 0 likes 377 plays 0 Usage Course Material
23:07 Tutorial 2: Video-c Tutorial 2: Video-c	Tutorial 2: Video-c phs520 tutorial01 test confidence interval alright difference treatment significance sample result evidence deviation rank limit size keyword summary lot statistic inference histogram From Chulapol Thanomsing 0 likes 398 plays 0 Usage Course Material
22:19 Tutorial 1: Video-c Tutorial 1: Video-c	Tutorial 1: Video-c phs520 tutorial01 category variable side boxplot wave summary height iqr alright dispersion outlier quartile box observations range histogram limit confidence proc b. From Chulapol Thanomsing 0 likes 213 plays 0 Usage Course Material
11:06 Tutorial 1: Video-a Tutorial 1: Video-a	Tutorial 1: Video-a phs520 tutorial01 eda directory files sas tutorial folder analysis variable cloud summary format step characteristics interval confidence content lesson saas working alright From Chulapol Thanomsing 0 likes 345 plays 0 Usage Course Material
22:05 Tutorial 1: Video-b Tutorial 1: Video-b	Tutorial 1: Video-b phs520 tutorial01 protein variable confidence summary boxplot interval histogram proc quartile alright sample side outlier median univariate print box distribution output sass From Chulapol Thanomsing 0 likes 304 plays 0 Usage Course Material
08:34 Lesson 4.3. Two Sample Test w Equal Var c Lesson 4.3. Two Sample Test w Equal Var c	Lesson 4.3. Two Sample Test w Equal Var c weight test diet difference confidence interval statistic distribution loss probability sample lesson variance participants approach result error multiplier freedom standard From Chulapol Thanomsing 0 likes 49 plays 0
07:51 Lesson 4.3. Two Sample Test w Equal Var a Lesson 4.3. Two Sample Test w Equal Var a	Lesson 4.3. Two Sample Test w Equal Var a estimate alright sigma error test freedom degree n1 times formula square situation confidence standard bar point variance minus sample hypothesis From Chulapol Thanomsing 0 likes 67 plays 0
20:26 Lesson 4.2. Two Sample Test w Unequal Var Lesson 4.2. Two Sample Test w Unequal Var	Lesson 4.2. Two Sample Test w Unequal Var test formula distribution freedom error sample degree confidence statistic hypothesis interval alright difference bar pressure blood minus sigma standard variances From Chulapol Thanomsing 0 likes 67 plays 0
15:12 Lesson 3.5. Lesson 3 review Lesson 3.5. Lesson 3 review	Lesson 3.5. Lesson 3 review phs520 l03 sample hypothesis difference confidence test statistic interval alright testing alpha error population conclusion side mu level significance definition probability variable From Chulapol Thanomsing 0 likes 32 plays 0 Usage Course Material
15:43 Lesson 3.4. Paired Sample Inferences a Lesson 3.4. Paired Sample Inferences a	Lesson 3.4. Paired Sample Inferences a phs520 l03 difference sample alright confidence interval change pressure blood contraceptive testing bar hypothesis error minus size deviation differences contraceptives estimation woman From Chulapol Thanomsing 0 likes 50 plays 0 Usage Course Material
14:58 Lesson 3.4. Paired Sample Inferences b Lesson 3.4. Paired Sample Inferences b	Lesson 3.4. Paired Sample Inferences b phs520 l03 difference sample test hypothesis statistic mu contraceptive column population deviation blood alright size change parameter confidence study tail pressure contraceptives From Chulapol Thanomsing 0 likes 49 plays 0 Usage Course Material
14:18 Lesson 3.3. Misc HT Topics b Lesson 3.3. Misc HT Topics b	Lesson 3.3. Misc HT Topics b phs520 l03 sample significance size confidence difference level hypothesis statistic interval test sense deviation alright alpha measurement question factors approach mu conclusion From Chulapol Thanomsing 0 likes 44 plays 0 Usage Course Material
09:03 Lesson 3.1. Comparing a Single Mean to a Constant Lesson 3.1. Comparing a Single Mean to a Constant	Lesson 3.1. Comparing a Single Mean to a Constant phs520 l03 hypothesis sample confidence interval population testing lesson blood pressure inference mu student purpose alright cutoff conclusion parameter mmhg approach statement From Chulapol Thanomsing 0 likes 62 plays 0 Usage Course Material
21:45 Lesson 2.7. Lesson 2 review Lesson 2.7. Lesson 2 review	Lesson 2.7. Lesson 2 review phs520 l02 sample distribution confidence probability size interval population bar sigma sampling level limit n. deviation times rule width error root alright From Chulapol Thanomsing 0 likes 33 plays 0 Usage Course Material