Class Instructor
Name | : | Dr. Arne Bathke |
Address | : | 875 Patterson Office Tower |
Telephone | : | 257-3610 |
: | arne@ms.uky.edu | |
Office Hours | : | 11:15 AM - 12:30 PM on Mondays and Wednesdays or by appointment. |
Lab Instructor (Sections 007-010)
Name | : | Keith Kohrs |
Address | : | 818 Patterson Office Tower |
Telephone | : | 257-6915 |
: | kkohrs@ms.uky.edu | |
Office Hours | : | 2-3 PM on Fridays |
Open Lab | : | 11 AM - 12 PM on Thursdays |
Lab Instructor (Sections 011-014)
Name | : | Anubhav Shukla Pradeep |
Address | : | 857 Patterson Office Tower |
Telephone | : | 257-9202 |
: | anubhav@ms.uky.edu | |
Office Hours | : | 12-1 PM on Tuesdays |
Open Lab | : | 8-9 PM on Tuesdays |
Lab Instructor (Sections 015-018)
Name | : | Minao Tang |
Address | : | 822 Patterson Office Tower (POT) |
Telephone | : | 257-9204 |
: | mtang@ms.uky.edu | |
Office Hours | : | 3-5 PM on Wednesdays |
Open Lab | : | 8-9 PM on Tuesdays |
Online Homework Contact Person
Name | : | Pamela Lancaster |
: | pamela@ms.uky.edu |
Course Information
Class time Lecture | : |
Sections 007-012: MW 2:00 - 2:50 PM, Sections 013-018: MW 10:00 - 10:50 AM |
Class time Lab | Section 007: W 3:00-3:50 PM, Section 008: W 4:00-4:50 PM, Section 009: W 5:00-5:50 PM, Section 010: F 8:00-8:50 AM, Section 011: R 1:00-1:50 PM, Section 012: M 10:00-10:50 AM, Section 013: F 8:00-8:50 AM, Section 014: F 2:00-2:50 PM, Section 015: F 3:00-3:50 PM, Section 016: W 2:00-2:50 PM, Section 017: W 6:00-6:50 PM, Section 018: M 8:00-8:50 AM | |
Classroom Lecture | : |
Sections 007-012: CB (Classroom Building) 114, Sections 013-018: CB (Classroom Building) 110 |
Classroom Computer Lab | : |
Sections 007-009, 011-017: CB (Classroom Building) 307, Sections 010, 018: CB (Classroom Building) 309 |
Textbook | : | Gerard Keller,
Statistics for Management and Economics, 7th Edition 2004, including ThomsonNow 1-Semester Instant Access Code,
ISBN-10: 0324629109, ISBN-13: 9780324629101. UK Bookstore offers you to buy the book used and the access code separately which will save you about $18. |
Class Web Address | : | http://www.ms.uky.edu/~arne/sta291/ |
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1. All students must have a ThomsonNOW account, which will be used to submit homework.
Pamela Lancaster at
pamela@ms.uky.edu
is the ThomsonNOW co-ordinator for the UK Statistics Department.
Email her with any technical problems related to ThomsonNOW.
Questions relating to the content of the course should be directed to your lab instructor or to me. 2. Students will need TWO codes to access the online content. (a) The first code is bundled with new textbooks in a pamphlet called "Sign in and succeed". This will allow you to create an account with ThomsonNOW. (b) The second code is E-53VSCJB6XXBEC, which identifies this course ("Dr. Bathke STA 291"). Regarding (a): If you buy a used textbook, you need to buy the first online access code separately. You can do this in the UK Bookstore (this is actually cheaper) or you can go online to ilrn.com. You will need to buy ThomsonNow 1-Semester Instant Access Code, ISBN-10: 0324366574 ISBN-13: 9780324366570. (Note: You don't need this ISBN number if you have bought a new textbook that comes along with the Thomson Now access code, the so-called bundle.) 3. Upgrade your browser, and obtain new versions of Java and Flash. 4. When signing up for the first time, you will need to search for our University. Use "Kentucky" as both the location and school name in the search utility. UK should then be listed first. |
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Tentative Syllabus
Date | Topics | Book Sections | Handouts/Assignments | |
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Wed, Aug 22 | Introduction, Syllabus, Basic Terminology | 1 |
Lecture 1 (pdf) Lecture 1 Handout (2) Format (pdf) Lecture 1 Handout (3) Format (pdf) Homework 1, due Friday, Aug 30, 11 PM:
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Lab hours and open lab starting this week (Monday, August 27). | ||||
Mon, Aug 27 | Scales of Measurement, Sampling | 2.1 |
Lecture 2 (pdf) Lecture 2 Handout (2) Format (pdf) Lecture 2 Handout (3) Format (pdf) |
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Wed, Aug 29 | Data Collection and Sampling | 5.1-5.4 |
Lecture 3 (pdf) Lecture 3 Handout (2) Format (pdf) Lecture 3 Handout (3) Format (pdf) Simple Random Sampling Applet | |
Mon, Sep 3 | Labor Day - No Classes! | |||
Wed, Sep 5 | Sampling Plans, Graphical Data Summaries | 5.3, 2.2-2.3 |
Lecture 4 (pdf) Lecture 4 Handout (2) Format (pdf) Lecture 4 Handout (3) Format (pdf) Homework 2, due Sunday, Sep 9, 11 PM:
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Mon, Sep 10 | Graphical Data Summaries | 2.2-2.4, 3 |
Lecture 5 (pdf) Lecture 5 Handout (2) Format (pdf) Lecture 5 Handout (3) Format (pdf) Correlation and Scatterplot Applet Correlation by Eye Applet Simple Regression Analysis Tool Gallery of Data Visualization Homework 3, due Friday, Sep 14, 11 PM:
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Wed, Sep 12 | Numerical Data Summaries | 4.1 |
Lecture 6 (pdf) Lecture 6 Handout (2) Format (pdf) Lecture 6 Handout (3) Format (pdf) Mean and Median Applet | |
Mon, Sep 17 | Measures of Variability | 4.2 |
Lecture 7 (pdf) Lecture 7 Handout (2) Format (pdf) Lecture 7 Handout (3) Format (pdf) Homework 4, due Friday, Sep 21, 11 PM:
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Wed, Sep 19 | Measures of Variability, Box Plots | 4.2-4.3 |
Lecture 8 (pdf) Lecture 8 Handout (2) Format (pdf) Lecture 8 Handout (3) Format (pdf) One Variable Statistical Calculator | |
Mon, Sep 24 | Measures of Linear Relationship | 4.4 |
Lecture 9 (pdf) Lecture 9 Handout (2) Format (pdf) Lecture 9 Handout (3) Format (pdf) Homework 5, due Friday, Sep 28, 11 PM:
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Wed, Sep 26 |
Lecture 10 (pdf) Lecture 10 Handout (2) Format (pdf) Lecture 10 Handout (3) Format (pdf) Correlation and Regression | |||
Mon, Oct 1 | Linear Relationships Review | 1-5 |
Lecture 11 (pdf) Lecture 11 Handout (2) Format (pdf) Lecture 11 Handout (3) Format (pdf) Here are the online homework sets so far, with solutions, so you can review them easier: Online Homework 1 including solution key (pdf) Online Homework 2 including solution key (pdf) Online Homework 3 including solution key (pdf) Homework 6, due Friday, Oct 5, 11 PM:
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Tue, Oct 2 | Midterm Exam #1, 5-7 PM Sections 007-009 in Room CB 102; Sections 010-015 in Room CB 106; Sections 016-018 in Room CB 110 | |||
Wed, Oct 3 | Probabiliy | 6 |
Lecture 12 (pdf) Lecture 12 Handout (2) Format (pdf) Lecture 12 Handout (3) Format (pdf)
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Mon, Oct 8 | Conditional Probability, Independence | 6 |
Lecture 13 (pdf) Lecture 13 Handout (2) Format (pdf) Lecture 13 Handout (3) Format (pdf) Coin Tossing Applet Homework 7, due Friday, Oct 12, 11 PM:
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Wed, Oct 10 | Random Variables, Discrete Probability Distributions | 7 |
Lecture 14 (pdf) Lecture 14 Handout (2) Format (pdf) Lecture 14 Handout (3) Format (pdf) Binomial Simulation Applet Binomial Distribution: Applet 1 Applet 2
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Mon, Oct 15 | Continuous Distributions, Normal Distribution | 8 |
Lecture 15 (pdf) Lecture 15 Handout (2) Format (pdf) Lecture 15 Handout (3) Format (pdf) Normal Distribution Normal Curve Applet Probability Calculator Applet 1 Applet 2 Homework 8, due Friday, Oct 19, 11 PM:
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Wed, Oct 17 | Normal Distribution | 8.2 |
Lecture 16 (pdf) Lecture 16 Handout (2) Format (pdf) Lecture 16 Handout (3) Format (pdf)
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Mon, Oct 22 | Sampling Distributions | 9.1, 9.2 |
Lecture 17 (pdf) Lecture 17 Handout (2) Format (pdf) Lecture 17 Handout (3) Format (pdf) Dice Experiment Applet Central Limit Theorem Applet Homework 9, due Friday, Oct 26, 11 PM:
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Wed, Oct 24 | Sampling Distributions, Estimation | 9.1, 9.2, 10.1 |
Lecture 18 (pdf) Lecture 18 Handout (2) Format (pdf) Lecture 18 Handout (3) Format (pdf) | |
Mon, Oct 29 | Estimation, Confidence Intervals | 10.1, 10.2 |
Lecture 19 (pdf) Lecture 19 Handout (2) Format (pdf) Lecture 19 Handout (3) Format (pdf) Confidence Interval Applet Homework 10, due Friday, Nov 2, 11 PM:
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Wed, Oct 31 | Confidence Intervals, Sample Size Calculations | 10.2, 10.3 | ||
Mon, Nov 5 | Hypothesis Testing | 11.1 | ||
Wed, Nov 7 | Hypothesis Test for the Population Mean | 11.2 | ||
Mon, Nov 12 | Exam Review (?) | 6-11 | ||
Tue, Nov 13 | Midterm Exam #2, 5-7 PM Sections 007-009 in Room CB 102; Sections 010-015 in Room CB 106; Sections 016-018 in Room CB 110 | |||
Wed, Nov 14 | Test for the Population Proportion Small Sample Inference for the Mean | 12.1, 12.3 | ||
Mon, Nov 19 | Type II Error Probability and Power | 11.3 | ||
Wed, Nov 21 | Thanksgiving Holiday - No Classes! | |||
Mon, Nov 26 | Inference for Two Independent Samples | 13.1 | ||
Wed, Nov 28 | ||||
Mon, Dec 3 | Inference for Two Dependent Samples | 13.3 | ||
Wed, Dec 5 | Regression | 17 | ||
Tue, Dec 11 | Final Exam, 8:30-10:30 PM in Memorial Hall |