lecture 1 2 - university of torontoutstat.toronto.edu/~olgac/sta221/notes/lecture_1_2.pdf · 125 96...

9

Upload: others

Post on 27-Mar-2020

2 views

Category:

Documents

0 download

Report

Download

Embed Size (px):

TRANSCRIPT

Page 1: Lecture 1 2 - University of Torontoutstat.toronto.edu/~olgac/sta221/notes/Lecture_1_2.pdf · 125 96 58 279 1052 722 322 2096 Other Total 104 669 Because class sizes are so different

Page 2: Lecture 1 2 - University of Torontoutstat.toronto.edu/~olgac/sta221/notes/Lecture_1_2.pdf · 125 96 58 279 1052 722 322 2096 Other Total 104 669 Because class sizes are so different

Page 3: Lecture 1 2 - University of Torontoutstat.toronto.edu/~olgac/sta221/notes/Lecture_1_2.pdf · 125 96 58 279 1052 722 322 2096 Other Total 104 669 Because class sizes are so different

Page 4: Lecture 1 2 - University of Torontoutstat.toronto.edu/~olgac/sta221/notes/Lecture_1_2.pdf · 125 96 58 279 1052 722 322 2096 Other Total 104 669 Because class sizes are so different

Page 5: Lecture 1 2 - University of Torontoutstat.toronto.edu/~olgac/sta221/notes/Lecture_1_2.pdf · 125 96 58 279 1052 722 322 2096 Other Total 104 669 Because class sizes are so different

Page 6: Lecture 1 2 - University of Torontoutstat.toronto.edu/~olgac/sta221/notes/Lecture_1_2.pdf · 125 96 58 279 1052 722 322 2096 Other Total 104 669 Because class sizes are so different

Page 7: Lecture 1 2 - University of Torontoutstat.toronto.edu/~olgac/sta221/notes/Lecture_1_2.pdf · 125 96 58 279 1052 722 322 2096 Other Total 104 669 Because class sizes are so different

Page 8: Lecture 1 2 - University of Torontoutstat.toronto.edu/~olgac/sta221/notes/Lecture_1_2.pdf · 125 96 58 279 1052 722 322 2096 Other Total 104 669 Because class sizes are so different

Page 9: Lecture 1 2 - University of Torontoutstat.toronto.edu/~olgac/sta221/notes/Lecture_1_2.pdf · 125 96 58 279 1052 722 322 2096 Other Total 104 669 Because class sizes are so different

Lecture 1 (Review of High School Math: Functions and Models) Introduction: Numbers …olgac/mata31_Winter_2014/notes/... · 2014-01-11 · A standard analogy is a string of dominoes

Assoc. Prof. Dr. Ozlem Olgac Turker Naghmeh Pournayeb ST.N: 125332 INAR 569 Sustainability in Interior Design Fall semester 2013_2014

ASSIGNMENT 5: Due Feb 13, 2012, at tutorial for discussion ...olgac/sta221/notes/assigment_5_221.pdf · ASSIGNMENT 5: Due Feb 13, 2012, at tutorial for discussion (Quiz 5) Read Lecture

South School on Internet Governance - ITU · [email protected] @adriancarballo Olga Cavalli –Co- Founder - Academic Director [email protected] @olgacavalli

Three factor Anova - University of Torontofisher.utstat.utoronto.ca/~mahinda/sta221/s221wk10.pdf · Factorial experiments run in complete blocks. Latin square design. [pp153-168]

Department of Statistical Sciences | University of …olgac/stab22_2013/notes/backup/...Author Olga Chilina Created Date 5/16/2013 12:32:35 AM

Micro-pipette Motion Detection by using Optical Fiber Sensors Ali Fuat Ergenc Nejat Olgac

UNIVERSITY OF TORONTO SCARBOROUGH …olgac/stab22_Winter_2014/notes/test_2014...UNIVERSITY OF TORONTO SCARBOROUGH Department of Computer and Mathematical Sciences STAB22H3 Statistics

Applied Statistics II - University of Torontoutstat.toronto.edu/reid/sta2201s/jan7.pdfof linear regression models, and interpretation. The topics covered will include: I planning of

Distributed Beamforming in Two-Way ... - University of Torontoutstat.toronto.edu/~jun/papers/SALARI-TWC-16.pdf · links. This motivates us to study distributed beamforming and power

ASSIGNMENT 9: Due March 26, 2012, at tutorial for ...olgac/sta221/notes/assignment_9_221.pdf · of sentences, illustrate gender bias? A study of this question sampled sentences from

The Multinomial Model - University of Torontoutstat.toronto.edu/~brunner/oldclass/312f12/lectures/312f12MultinomialHandout.pdf · Example of a multinomial coe cient A counting problem

Logistic Regression Part One - University of Torontoutstat.toronto.edu/.../lectures/2101f12LogisticRegression1.pdf · See last slide for copyright information . ... • So logistic

Use Of Re-cycled Materials To Create Texture In Interior Space PRESENTATED BY: INSTRUCTORE: PROF Özlem olgac turker MOHAMMAD KAMALZADEH 115706 ASS 3

Student: Pelin GİRGİN Lecture: INAR 391 Lecturers: Assoc. Prof. Dr. Özlem Olgac TÜRKER Research Assist: Gözde PIRLANTA CONTEMPORARY HOUSES (3 DIFFERENT

Use of building materials PRESENTATED BY: INSTRUCTORE: PROF Özlem olgac turker MOHAMMAD KAMALZADEH 115706

UNIVERSITY OF TORONTO SCARBOROUGH Department of …utstat.utoronto.ca/~olgac/stab22_Winter_2014/notes/Exam_2013_Winter.pdfUNIVERSITY OF TORONTO SCARBOROUGH Department of Computer and

UNIVERSITY OF TORONTO SCARBOROUGH Department of …olgac/stab22_Winter_2014/notes/test_2014.pdf · UNIVERSITY OF TORONTO SCARBOROUGH Department of Computer and Mathematical Sciences

Multicolinearity p80 - University of Torontoutstat.utoronto.ca/~mahinda/sta221/s221wk5.pdf · Multicolinearity p80 ... Row gpa hsm gen 1 3.32 10 0 2 2.26 6 0 3 2.35 8 0 4 2.08 9 0

Factorial ANOVA - University of Torontoutstat.toronto.edu/.../lectures/441s20FactorialAnova.pdf · 2020. 2. 10. · Factorial ANOVA • Categorical explanatory variables are called

New Review Final Exam filled - University of Toronto · 2012. 4. 4. · Review for the Final Exam (STA221) I. (a) Review all the quiz questions, the midterm test, in class examples,

Review Midterm filled - University of Torontoolgac/sta221/notes/Review_Midterm_filled.pdf · Background music and wine sales: expected cell counts. Wha: is the expected count in the

Lecture 6 1 - Department of Statistical Sciencesolgac/sta221/notes/Lecture_6_1.pdf · 2012-02-14 · Design 1: Choosing the best magazine layout and cover, a magazine publisher wants

Example: Given P(A) = 0.25, P(B) = 0.80, and P(A or B) = 0 ...olgac/stab22_Winter_2014/... · Ch. 14, # 19 Real estate ads suggest that 64% of homes for sale have garages, 21% have

Lecture 8 2 - Department of Statistical Sciencesutstat.toronto.edu/~olgac/sta221/notes/Lecture_8_2.pdf · 2012. 3. 15. · Repeat the above, but predict at 1 Repeat but predict at

UNIVERSITY OF TORONTO SCARBOROUGH …olgac/stab22_Winter_2014/notes/Exam_2013... · UNIVERSITY OF TORONTO SCARBOROUGH Department of Computer and Mathematical Sciences DECEMBER 2013

Generalized Linear Models1 - University of Torontoutstat.toronto.edu/~brunner/oldclass/312f12/lectures/312...Deviance = 2log Q n Qi=1 f(y ijb ) n i=1 f(y ijb˙) = P n i=1 d i The deviance

UNIVERSITY OF TORONTO SCARBOROUGH …olgac/stab22_Winter_2014/notes/b...1.A national achievement test is administered annually to 3rd graders. The test has a mean score of 100 and

Confidence intervals for the mean of Y Prediction intervalsfisher.utstat.utoronto.ca/~mahinda/sta221/s221wk4.pdfWeek 4: The essentials of ... Obs hsm hse satm 1 10.0 8.00 600 1. Interaction

Lecture 1 2 - Department of Statistical Sciencesolgac/sta221/notes/Lecture_1_2.pdf · Two-way table for frequent binge drinking and gender Gender c Total 3,140 10,679 13,819 Frequent

Lecture 8 2 - utstat.utoronto.caolgac/sta221/notes/Lecture_8_2.pdf · Repeat the above, but predict at 1 Repeat but predict at 0 1. Th— regression equation is WtGain = 4-25 + 2-75

Lecture 4 1 - Department of Statistical Sciencesolgac/sta221/notes/Lecture_4_1.pdf0 4 a h..e.ed TkQxz \Vh4 Zo rzaSoV'1S (e041 D + Q Reason So WR— c.abt 'esc Ex : look assed-s 40

Lecture 12 Comparing Two Proportions - University of …olgac/stab22_2013/notes/backup/stab22...Lecture 12 Comparing Two Proportions Let and be the two population proportions of successes

Confidence intervals for the mean of Y Prediction intervalsfisher.utstat.toronto.edu/~mahinda/sta221/s221wk4.pdf · Obs hsm hse satm 1 10.0 8.00 600 1. Interaction models ... 19 7.00

STABILITY of LINEAR TIME INVARIANT TIME DELAYED SYSTEMS (LTI-TDS) CLUSTER TREATMENT OF CHARACTERISTIC ROOTS (CTCR) Prof. Nejat Olgac University of Connecticut