Ms. Sara Steele, Grad student |
Ms. Ashleigh Ruggles, UG student |
Office: 175 GP |
Office: Gorgas Library Coffee Shop |
Telephone: none |
Telephone: 256-627-3988 |
Office hours: M&W 12:00-1:00 pm |
Office hours: M&F 10:00-10:50 am |
E-mail: sjsteele1@crimson.ua.edu |
E-mail: aeruggles@crimson.ua.edu |
Methods are presented which make possible inferences about a population from knowledge of small samples. Students will be introduced to statistical techniques used to conduct scientific research. Methods of measurement and techniques available to summarize sets of data will be discussed. The course will stress an understanding of conceptual issues involved in the selection of statistical methods rather than memorization of formulas.
This course uses Blackboard Learn. Class announcements, lectures, labs, and grades are administered in Blackboard Learn. Also available in Blackboard Learn are the homework assignments (WebAssign), recorded lectures (Tegrity Recordings), and clicker registration (Clicker Registration).
By the end of the semester, students should be able to….
Goal 1. Descriptive Statistics
1.1 Distinguish between types of measurements.
1.2 Depict the results of a simple study.
1.3 Describe a distribution of data in terms of its shape, central tendency, and variability.
Goal 2. Inferential Statistics
2.1 Identify appropriate statistical procedures to use for analysis of a given data set.
2.2 Understand the basic principles of hypothesis testing.
Goal 3. Use of Data Analysis Software
3.1 Effectively use SPSS to compute descriptive statistics, construct graphs, and compare means.
3.2 Demonstrate proficiency in reading and interpreting output.
Goal 4. Statistical Reasoning
4.1 Interpret basic statistical results.
4.2 Demonstrate an understanding of the difference between probable and improbable.
4.3 Demonstrate an understanding of the role of chance in determining statistical results.
4.4 Distinguish between statistical and practical significance.
Attendance is required to receive participation points. However, attendance alone does not give you participation points. You must use your clicker while in attendance to receive participation points. See Exams and Assignments section.
1. Exams (240 pts; 60%). There are 4 required exams, each worth 60 points, for a total of 240 points. The first three exams are during regular class periods and the fourth is the final exam. You will need a #2 pencil and a calculator for each exam. Exams may include multiple choice questions, fill-in-the-blanks, short answers, and working problems. Exams must be completed within the scheduled class period unless plans have been made beforehand with the instructor. The final exam consists of two parts. The first part covers new material since the last exam. The second part is an applied comprehensive exam and will consist of descriptions of experiments for which you will have to decide which statistical test to use and explain why you chose it. There will be NO computations on this second part of final exam.
2. Lab Projects (80 pts; 20%). There are 14 lab projects: the first is worth 2 points and 13 are worth 6 points each, for a total of 80 points. Projects require students to work with data using SPSS, which is a statistical package commonly used in behavioral science research. Projects will be completed during the Friday lab. Friday labs meet in 16 Lloyd Hall.
3. Homework (40 pts; 10%). There are 13 homework assignments: 1 assignment per chapter, except two for Ch. 9. Assignments are completed online in WebAssign. Accessing WebAssign iw worth 1 point and each homework assignment is worth 3 points, for a total of 40 points. Homework should be completed by Friday of each week @ 5:00 pm to receive credit. Labs on Fridays are a great time to finish homework assignments.
4. Class Participation (40 pts; 10%). Students are required to participate in every MW class using their clickers. This is not an attendance requirement; rather, it is a participation requirement. PARTICIPATION IS DEFINED AS USING ONE’S CLICKER TO SHARE ONE’S RESPONSES WITH THE CLASS. Using your clicker at least once is worth 2 points; otherwise, there are 12 Mondays, each worth 2 points, and 14 Wednesdays, each worth 1 point, for a total of 40 points.
Caveat:
If you are experiencing circumstances beyond your control, please contact the professor or GTA as soon as possible.
There may be extra credit opportunities on an ad-hoc basis for exams, lab projects, and homework.
OVERALL: 97-100%=A+ 87-89%=B+ 77-79%=C+ 67-69%=D+ 0-59%=F
92-96%=A 82-86%=B 72-76%=C 62-66%=D
90-91%=A- 80-81%=B- 70-71%=C- 60-61%=D-
You have the opportunity to receive 400 points in this class. Your final grade will be determined by the following scale.
388-400=A+ 348-359=B+ 308-319=C+ 268-279=D+ 0-239=F
368-387=A 328-347=B 288-307=C 248-267=D
360-367=A- 320-327=B- 280-287=C- 240-247=D-
Each Exam: 58-60 = A+ 52-53 = B+ 46-47 = C+ 40-41 = D+ 0-35 = F
55-57 = A 49-51 = B 43-45 = C 37-39 = D
54 = A- 48 = B- 42 = C- 36 = D-
Overall Exams:
233-240 = A+ 209-215 = B+ 185-191 = C+ 161-167 = D+ 0-143 = F
221-232 = A 197-208 = B 173-184 = C 149-160 = D
216-220 = A- 192-196 = B- 168-172 = C- 144-148 = D-
Each Lab: 5.5-6.0 = A 5.0 = B 4.0-4.5 = C 3.5-4.0 = D 0 - 3.0 = F
Overall Lab Projects:
77.6-80.0 = A+ 69.6-71.9 = B+ 61.6-63.9 = C+ 53.6-55.9 = D+ 0-47.9 = F
73.6-77.5 = A 65.6-69.5 = B 57.6-61.5 = C 49.6-53.5 = D
72.0-73.5 = A- 64.0-65.5 = B- 56.0-57.5 = C- 48.0-49.5 = D-
Each Homework: 2.70-3.00 = A 2.4-2.69 = B 2.10-2.39 = C 1.80-2.09 = D 0-1.79 = F
Overall Homework:
39-40 = A+ 35 = B+ 31 = C+ 27 = D+ 0-23 = F
37-38 = A 33-34 = B 29-30 = C 25-26 = D
36 = A- 32 = B- 28 = C- 24 = D-
Participation: 39-40 = A+ 35 = B+ 31 = C+ 27 = D+ 0-23 = F
37-38 = A 33-34 = B 29-30 = C 25-26 = D
36 = A- 32 = B- 28 = C- 24 = D-
Tentative Course Outline for PY211-001 (MWF 9:00 – 9:50) – Spring 2013
Week |
Topic |
Reading |
HW Ch. |
WebAssign |
Recommend |
1. Jan. 9 Jan. 11 (LH) |
Intro to Course LAB01: Intro to Lab (16 Lloyd Hall) |
Syllabus xxxiv-xxxix |
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2. Jan. 14 Jan. 16* Jan. 18 (LH) |
Intro to Statistics Intro to Statistics LAB02: Intro to Statistics |
1.1 – 1.2 1.3 – 1.5 1.6 |
1 |
1, 5, 19, 25, 27a, 27b |
4, 6, 8, 10, 12, 16, 20, 24, 28 |
3. Jan. 21 Jan. 23 Jan. 25 (LH) |
HOLIDAY – MLK JR DAY Frequency Distributions LAB03: Frequency Distributions |
---- 2.4; pp. 36-38; 2.5; 2.8 – 2.9 2.6; 2.11 |
2 |
10, 11, 23, 27a, 27b, 27c |
2, 12, 14, 16, 18, 24, 26, 30 |
4. Jan. 28 Jan. 30 Feb. 1 (LH) |
Central Tendency Central Tendency LAB04: Central Tendency (etc.) |
3.1 – 3.2 3.4 – 3.5 3.6 |
3 |
7, 9, 13, 17, 29a, 29b |
2, 4, 8, 30, 32, 34 |
5. Feb. 4 Feb. 6 Feb. 8 (LH) |
Variability Variability LAB05: Variability |
4.1 – 4.4 4.5; 4.7 – 4.8 4.11 |
4 |
5, 17a, 17b, 27a, 27b, 27c |
2, 4, 8, 12, 16, 24, 28 |
6. Feb. 11 Feb. 13 Feb. 15 (LH) |
EXAM #1 Probability & Normal Distributions LAB06: Probability & Normal Distributions |
CH. 1-4 6.1 – 6.2; 6.4 – 6.6 6.8 |
6 |
11a, 11d, 15, 19c, 27a, 29a |
4, 5, 7, 8, 12a-c, 18, 20a-b, 28a-b |
7. Feb. 18 Feb. 20 Feb. 22 |
Probability & Sampling Distributions Probability & Sampling Distributions LAB07: Sampling Distributions |
7.1 – 7.2 7.3 – 7.5; 7.9 7.7; 7.8 |
7 |
1, 9, 11, 19c, 23a, 23b |
4, 18a-c, 20, 24a-b |
8. Feb. 25 Feb. 27* Mar. 1 (LH) |
Introduction to Hypothesis Testing Introduction to Hypothesis Testing LAB08: Introduction to Hypothesis Testing |
8.1 – 8.3 (to p. 239) 8.4 – 8.5; 8.7 – 8.8 8.10 |
8 |
15b, 15c, 15d, 19(1)a-c |
2, 3, 4, 5, 6, 8, 22a-b |
9. Mar. 4 Mar. 6 Mar. 8 (LH) |
EXAM #2 One-Independent Sample t-Test LAB09: One-Independent Sample t-Test |
CH. 6-8 9.1 – 9.5 9.6 |
9a |
9, 15a, 17 |
1, 2, 3, 12(1), 14a, 18 |
10. Mar. 11 Mar. 13 Mar. 15 (LH) |
Two-Independent Sample t-Test Two-Independent Sample t-Test LAB10: Two-Independent-Sample t-Test |
9.7 (to p. 276) Rest of 9.7; 9.8 9.9 |
9b |
11, 15b, 31 |
32a-b |
11. Mar. 18 Mar. 20* Mar. 22 (LH) |
Related Samples t-Test Related Samples t-Test LAB11: Related Samples t-Test |
10.1 – 10.3 10.5 – 10.7 10.4 |
10 |
1, 13a, 13c, 13d, 19a, 19b |
14a-d, 16a, 18a-d, 20a-b |
Mar. 25—Mar. 29 |
SPRING BREAK |
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12. Apr. 1 Apr. 3 Apr. 5 |
Review for Exam #3 EXAM #3 HONORS DAY -- CLASSES DISMISSED |
----- CH. 9-10 ----- |
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13. Apr. 8 Apr. 10 Apr. 12 (LH) |
ANOVA: One-Way Between-Subjects Design ANOVA: One-Way Between-Subjects Design LAB12: One-Way Between-Subjects ANOVA |
12.1 – 12.4 12.5 – 12.7; 12.9 12.8 |
12 |
13, 15, 31 |
1, 3, 4, 6, 14, 24a |
14. Apr. 15 Apr. 17 Apr. 19* (LH) |
Correlation Correlation LAB13: Correlation |
15.1 – 15.3 15.6 15.4 |
15 |
13, 19a, 33 |
1, 2, 3, 14a-d, 18a, 32a-b |
15. Apr. 22 Apr. 24 Apr. 26* (LH) |
Preparing for the Applied Comprehensive Exam Regression LAB14: Regression |
Decision Trees (inside back cover) 16.1 – 16.5 16.7 |
16 |
13, 19, 21 |
1, 2, 3, 5, 6, 7, 14, 15, 20. 32 |
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Fri. May 3 |
FINAL EXAM 8:00-10:30 am; 208 GP Hall |
CH. 12, 15, 16 and |
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Thu. May 30 |
DEFERRED FINAL EXAM 2:00-4:30 PM; instructor’s office |
SAME CONTENT |
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* January 16 – Last day to register or add a course; Last day to drop a course without a grade of “W”
* February 27 – Midterm grade submissions for 100-200 level courses due
* March 20 – Last day to drop a course with a grade of “W”; Last day to drop a course on-line
* April 19 – Last day for all tests, etc.
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