Essential Aspects of Statistics and Data Analysis

Statistics + Statistics + The idol of Science

What we talk about What we talk about Data Data Description Exploratory Data Analysis (EDA) Distribution Probability Chain Markov Random Data Probabilistic Distribution Function Hypothesis Regression Analysis

References References Richard A. Johnson, Gouri K. Bhattacharyya, Statistics Principles and Methods,, John Wiley and Son, 1996, Nitis Mukhopadhyay , Probability and Statistical Inference, Marcel Dekker Inc, New York Basel, 2000, Dr. Wiharto, S.T., M.Kom; Esti Suryani, S.Si., M.Kom; Siti Fatimah, S.Si., M.Si; Tim Pengabdian UNS, Tim Pengabdian UMS , Cara Praktis Penggunakan SPSS, CV MINE, 2019

Our meeting Our meeting We have 3 hours (@ 50 minutes) from We will split in two sessions: Session 1: 2 hours for (original) theory, presentation, and discussion Session 2: remained hour for games (actually programming and folk singing) and discussion

Final Grades Final Grades Scale Scale 85 100 80 84 75 79 70 74 65 69 60 64 55 59 0 54 Grade Grade A A - B+ B C+ C D E Point Point 4.0 3.7 3.3 3.0 2.7 2.0 1.0 0.0

Sub Competency Grade guidance Sub Competency Grade guidance Every sub-competency have grade 4 (please read excellent) 3 (good) 2 (enough) 1 (poor) 0 (fail) Every sub-competency have a task Every task have maximum grade 4, unless it comes out in midterm or final exam

Generally Generally Grade Grade Criteria Criteria 4 Easy to read/legible, systematic answer, excellent process, have true answer, without type-x, no pencil Legible, systematic answer, good process, true answer Legible, true process Legible, Almost true process although wrong answer Un-legible, no answer or confusing answer 3 2 1 0

Tip and Trick to get excellent point Tip and Trick to get excellent point Enjoy the class Do every task (because every task is your remedial point) Make me know and remember about you

You will You will get A now, and decrease Twice paper test, almost every week homework and on class discussion

You have to You have to Never come late Making sure that your account @student.uns.ac.id is active and can be used. Join (Actually I will invite you) to my class at classroom.google.com (?) Bring a laptop in our meeting in case you can not use the computer next to you Install Applications: R, Python, and Microsoft Office Excel or Spreadsheet

Late tolerance Late tolerance 0 minutes 5 minutes 10 minutes If you late, what do you have to do? You have to do what audience want.

Your right Your right Make questions (please do not too much) or interrupt me if I do wrong Invited to classroom (please notify me if you not invited yet next week) Get soft file course material Get point/grade as soon as possible

Your Task in 1 Your Task in 1st stWeek Week Making sure your account @student.uns.ac.id is active and can be used.

Me? Me? Ristu Saptono (a family man) My Class: Calculus Probability Software Testing Formal Methods My Research: https://www.researchgate.ne t/profile/Ristu_Saptono Email : ristu.saptono@staff.uns.ac.id WA : 0852 2948 2787

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