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School: Berkeley
Lab 2 Solutions Stat 135 Tessa Childers-Day March 3, 2011 1 Chapter 8, Problem 43 Please note that I was very specific of the format of the report. I posted an example report, and noted several times that the code was to be printed separately from the ans
School: Berkeley
Course: 135
Stat 135, Fall 2011 A. Adhikari HOMEWORK 5 (due Friday 10/7) 1. 9.11. Use R to do the plots accurately. In each case, say what the limiting power is as approaches 0. 2. 9.12. 3. 9.13. In c, use R to nd the critical values x0 and x1 . Turn the page for d.
School: Berkeley
Course: 135
Stat 135, Fall 2011 A. Adhikari HOMEWORK 4 (due Friday 9/30) 1. 8.20. Use R to do this one accurately. Be careful about constants when youre working out the distribution of 2 . 2. 8.32. You dont have to do all six intervals in parts (b) and (c); just do t
School: Berkeley
STAT516 Solution to Homework 2 1.4.5: a) Let U1=(urn 1 chosen), U2=(urn 2 chosen), B=(black ball chosen), W=(White ball chosen). 2/5 B 1/2 U1 3/5 4/7 W B 1/2 U2 3/7 W b) P(U1)=1/2=P(U2); P(W|U1)=3/5; P(B|U1)=2/5; P(W|U2)=3/7; P(B|U2)=4/7 c) P(B)=P(B|U1)P(
School: Berkeley
UC Berkeley Department of Electrical Engineering and Computer Science Department of Statistics EECS 281A / STAT 241A Statistical Learning Theory Solutions to Problem Set 3 Fall 2011 Issued: Monday, October 10, 2011 Due: Monday, October 24, 2011 Reading: F
School: Berkeley
Math 361/Stat 351 X1 Homework 10 Solutions Spring 2003 Graded problems: 1(d), 3(c), 4(b), 7 Problem 1. [4.2.4] Suppose component lifetimes are exponentially distributed with mean 10 hours. Find (a) the probability that a component survives 20 hou
School: Berkeley
School: Berkeley
School: Berkeley
Review problems for MT 1 S.M. Stoyanov 1. Given below is a distribution table for the 1993 salaries (in thousands of dollars) of the top 60 small companies (according to Forbes magazine). Each interval contains the right endpoint and not the left. You can
School: Berkeley
Review problems for MT 1 (with solutions) S.M. Stoyanov 1. Given below is a distribution table for the 1993 salaries (in thousands of dollars) of the top 60 small companies (according to Forbes magazine). Each interval contains the right endpoint and not
School: Berkeley
Introductory Probability and Sta1s1cs for Business Stat 21 Fall 2012 Shobhana M. Stoyanov 9/24/2013 Chapters 13,14,15: Probability Also using notes, and S1ciGui Chapter 13: Chance How would you dene chance?
School: Berkeley
Introductory Probability and Sta1s1cs for Business Stat 21 Fall 2013 Shobhana Stoyanov Lecture 6 9/17/2013 Regression: Chapters 10, 11, 12 Correla1on Cau1ons Correla1on only tells you about a linear
School: Berkeley
Psych 133 Allison Harvey Section Friday 1 2 pm Hyunjoong Joo 23208055 Reaction Paper of Sleep and youth suicidal behavior: a neglected eld Sleep undergoes continuous changes during puberty and additionally, suicide risks begin to escalate during this peri
School: Berkeley
Course: Game Theory
Game Theory, Alive Anna R. Karlin and Yuval Peres Draft January 20, 2013 Please send comments and corrections to karlin@cs.washington.edu and peres@microsoft.com i We are grateful to Alan Hammond, Yun Long, Gbor Pete, and Peter a Ralph for scribing early
School: Berkeley
School: Berkeley
AverageSoFar 58.33 58.00 57.67 57.33 57.33 57.33 57.00 56.83 56.67 56.67 56.50 56.33 56.33 56.33 56.17 56.00 56.00 55.67 55.67 55.50 55.33 55.33 55.33 55.33 55.17 55.00 54.83 54.67 54.50 54.33 54.33 54.00 54.00 53.83 53.83 53.67 53.67 53.50 53.33 53.33 53
School: Berkeley
Stat 20: Intro to Probability and Statistics Lecture 24: 2 Testing Tessa L. Childers-Day UC Berkeley 5 August 2014 Recap Test for Distribution Test for Independence Recap: Hypothesis Testing Steps in Hypothesis Testing: 1 State the hypotheses Null: The di
School: Berkeley
Stat 20: Intro to Probability and Statistics Lecture 23: Two Sample Testing Tessa L. Childers-Day UC Berkeley 4 August 2014 Recap Surveys Experiments Recap: Hypothesis Testing Steps in Hypothesis Testing: 1 State the hypotheses Null: The dierence between
School: Berkeley
Stat 20: Intro to Probability and Statistics Lecture 25: Pitfalls and Limits In Testing Tessa L. Childers-Day UC Berkeley 6 August 2014 Recap Interpreting Signicance Data Snooping Role of Model Questions Matter Recap: Hypothesis Testing Steps in Hypothesi
School: Berkeley
UGBA 103, Midterm Exam: March 05, 2012 Name: ID: Section: The answers on this midterm are entirely my own work. I neither gave nor received any aid while taking this midterm. _ Signature Please remember to write your name legibly on every page. The maximu
School: Berkeley
Course: Probability
Statistics 2 Problems from past nal exams 1. (5 points) The paragraph below is taken from an article in the San Francisco Chronicle of Tuesday, March 21, 1995. The person quoted in the article is Patrick Portway, executive director of the United States Di
School: Berkeley
STATISTICS 21 Fall 2012 S. M. Stoyanov MIDTERM 1 Score:[ /60] Please show ALL WORK AND REASONING for ALL the problems.You may NOT use a programmable calculator for this quiz. Do NOT ROUND the numbers in the middle of a problem. In general, unless asked to
School: Berkeley
STATISTICS 21 Fall 2012 S. M. Stoyanov MIDTERM 2 Score:[ Name: /60] SID: Section: Please circle your sections GSI: Tina Ansari Nathan Cheung Andrew Kwong Nazret Weldeghiorgis Susannah Lee Arie Wong Please show ALL WORK AND REASONING for ALL the problems.Y
School: Berkeley
Statistics 21 Fall 2012 Shobhana M. Stoyanov Midterm 2 Score:[ Name: /60] SID: Section: Please circle your sections GSI: Tina Ansari Nathan Cheung Andrew Kwong Nazret Weldeghiorgis Susannah Lee Arie Wong Please show ALL WORK AND REASONING for ALL the prob
School: Berkeley
Statistics 21 Fall 2012 Shobhana M. Stoyanov Midterm 1: Answers Score:[ /60] Please show ALL WORK AND REASONING for ALL the problems.You may NOT use a programmable calculator for this quiz. Do NOT ROUND the numbers in the middle of a problem. In general,
School: Berkeley
Course: 135
Stat 135, Fall 2011 A. Adhikari HOMEWORK 5 (due Friday 10/7) 1. 9.11. Use R to do the plots accurately. In each case, say what the limiting power is as approaches 0. 2. 9.12. 3. 9.13. In c, use R to nd the critical values x0 and x1 . Turn the page for d.
School: Berkeley
Course: 135
Stat 135, Fall 2011 A. Adhikari HOMEWORK 4 (due Friday 9/30) 1. 8.20. Use R to do this one accurately. Be careful about constants when youre working out the distribution of 2 . 2. 8.32. You dont have to do all six intervals in parts (b) and (c); just do t
School: Berkeley
STAT516 Solution to Homework 2 1.4.5: a) Let U1=(urn 1 chosen), U2=(urn 2 chosen), B=(black ball chosen), W=(White ball chosen). 2/5 B 1/2 U1 3/5 4/7 W B 1/2 U2 3/7 W b) P(U1)=1/2=P(U2); P(W|U1)=3/5; P(B|U1)=2/5; P(W|U2)=3/7; P(B|U2)=4/7 c) P(B)=P(B|U1)P(
School: Berkeley
UC Berkeley Department of Electrical Engineering and Computer Science Department of Statistics EECS 281A / STAT 241A Statistical Learning Theory Solutions to Problem Set 3 Fall 2011 Issued: Monday, October 10, 2011 Due: Monday, October 24, 2011 Reading: F
School: Berkeley
Math 361/Stat 351 X1 Homework 10 Solutions Spring 2003 Graded problems: 1(d), 3(c), 4(b), 7 Problem 1. [4.2.4] Suppose component lifetimes are exponentially distributed with mean 10 hours. Find (a) the probability that a component survives 20 hou
School: Berkeley
UC Berkeley Department of Electrical Engineering and Computer Science Department of Statistics EECS 281A / STAT 241A Statistical Learning Theory Problem Set 3 Fall 2011 Issued: Monday, October 10, 2011 Due: Monday, October 24, 2011 Reading: For this probl
School: Berkeley
Stat 215B (Spring 2005): Lab 3 GSI: Victor Panaretos victor@stat.berkeley.edu Due March 8 at the Lab Section Part 1 : Simultaneous Inference In this section we revisit the data from the previous lab. Recall that the scenario involved the study of li
School: Berkeley
1 1 2 5 3&4 1 2&5 3 4 135 1 4 2 3&5 1 4&5 2 3 154 1&2 4&5 1&2&4 5 3 1&3 4 2&5 1&3&5 4 2 1&4 5 2&3 12 1254 1 2&5 3&4 1352 1425 1 4&5 2&3 1542 1&2 4&5 3 1&2&4&5 1&3 4 5 1&4 1&4 5 3 123 12543 1 2&5 4 13524 14253 1 4&5 3 15423 1&2 5 1&2&4&5 3 1&3 4 5 2 1&4 2
School: Berkeley
Course: Concepts Of Probability
Statistics 134, Section 2, Spring 2010 Instructor: Hank Ibser Lectures: TTh 11-12:30 in 60 Evans. Oce Hours: TTh 9:30-10:30 and 3:40-4:30, in 349 Evans Hall. Other times/places by appt. Oce Phone: 642-7495 Email: hank@stat.berkeley.edu Text: Probability b
School: Berkeley
Course: Introductory Probability And Statistics For Busines
UNIVERSITY OF CALIFORNIA Department of Economics Econ 100B Course Outline Spring 2012 Economics 100B Economic Analysis: Macroeconomics Professor Steven A. Wood Administrative Detail: Class Sessions: Tuesdays and Thursdays, 3:30 p.m. 5:00 p.m., 2050 Valley
School: Berkeley
Course: Introductory Probability And Statistics For Busines
Statistics 21, Section 1, Spring 2012 Instructor: Hank Ibser Lectures: MWF 9-10, 155 Dwinelle Email: hank@stat.berkeley.edu Office Hours: MW 10:10-11, 1:10-2, in 349 Evans Hall. Text: Statistics, 4rd ed. by Freedman, Pisani, Purves, Well cover most of cha
School: Berkeley
Course: Introductory Probability And Statistics For Busines
Schedule for Stat 21, Fall 2013 Note: Chapter readings are from FPP, and SG refers to Professor Philip Starks free online text SticiGui. notes by RP indicates Professor Roger Purves notes on chance variables, which will be posted on Canvas later. Week 1 (
School: Berkeley
Course: Introductory Probability And Statistics For Busines
STAT 21 Syllabus Course Information: Instructor: Shobhana Murali Stoyanov, shobhana@stat.berkeley.edu Class time: TuTh 2-3:30P, F295 Haas Office hours: W: 11-1P & by appointment, 325 Evans Text: Statistics, 4th ed., by Freedman, Pisani, and Purves. Supple
School: Berkeley
Statistics 21, Section 1, Spring 2010 Instructor: Hank Ibser Lectures: TTh 2-3:30pm, 2050 VLSB Email: hank@stat.berkeley.edu Oce Phone: 642-7495 Oce Hours: TuTh 9:30-10:30, 3:40-4:30, in 349 Evans Hall. Other times/places by appointment. Text: Statistics,