Tools

PY 211 Section 001: Elem Statistical Methods (CRN 41446)

Fall 2013

3 Credit Hours
Primary Instructor: Dr. Beverly Roskos
Syllabus subject to change.
Note: This syllabus contains one or more sections which have restricted viewing. Some content may require only a valid university login, while other content may be limited to students registered for the class.

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Teaching Assistants

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

 

Prerequisites

From the Student Records System
    Both
    • PY 101 (undergrad)
    • Or
    • PY 105 (undergrad)
  • And
    • MATH 100 (undergrad)
    • Or
    • MATH 110 (undergrad)
    • Or
    • MATH 112 (undergrad)
    • Or
    • MATH 115 (undergrad)
    • Or
    • MATH 121 (undergrad)
    • Or
    • MATH 125 (undergrad)
    • Or
    • MATH 126 (undergrad)
    • Or
    • MATH 145 (undergrad)
    • Or
    • MATH 146 (undergrad)

Course Description

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.

Required Texts

UA Supply Store Textbook Information

  • PRIVITERA / STATISTICS FOR BEHAVIORAL SCIENCES W/WEBASSIGN
    (Required)
  • NONE / RESPONSE PAD XR (XRC-01)
    (Choose One)
  • CALC TI 1706
    (Required)
  • TURNING TECH / NXT CLICKER (FALL 2013/Spring 2014)
    (Choose One)

Other Course Materials

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).

Student Learning Outcomes

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 Policy

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.

Exams and Assignments

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.

Policy on Missed Exams & Coursework

  1. EXAMS. Make-up exams will only be given to students whose absences are excused before the exam is given or within 48 hours after the exam. Students who do not contact me before or within 48 hours after the exam will receive a zero for that exam grade (but see caveat below). All make-up exams will be given within a week of the scheduled exam, and will be a different version of the scheduled exam.
  2. LAB PROJECTS. Late lab projects are accepted within a week after the due date. Late projects will receive a 1-point deduction if turned in on Monday, and an additional deduction for each day thereafter (but see caveat below).
  3. HOMEWORK. Late homework is accepted until the relevant exam. Late homework will receive a 1-point deduction if turned in on Monday, with an additional point deduction for each date thereafter (but see caveat below).
  4. CLASS PARTICIPATION. There are no make-up participation points. You must be present and using your clickers to receive credit (but see caveat below).

Caveat:

If you are experiencing circumstances beyond your control, please contact the professor or GTA as soon as possible.

 

Extra Credit Opportunities

There may be extra credit opportunities on an ad-hoc basis for exams, lab projects, and homework.

Grading Policy

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-

 

Outline of Topics

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

 

 
 

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

----------

------

------

------

12.  Apr. 1

       Apr. 3

       Apr. 5

Review for Exam #3

EXAM #3

HONORS DAY -- CLASSES DISMISSED

-----

CH. 9-10

-----

 

 
 

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

     

 

 
 

Fri. May 3

 

FINAL EXAM

8:00-10:30 am; 208 GP Hall

CH. 12, 15, 16 and
Applied Comprehensive

 

 
 

Thu. May 30

DEFERRED FINAL EXAM

2:00-4:30 PM; instructor’s office

SAME CONTENT

 

 
 
 
 

* 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.

Policy on Academic Misconduct

All students in attendance at the University of Alabama are expected to be honorable and to observe standards of conduct appropriate to a community of scholars. The University expects from its students a higher standard of conduct than the minimum required to avoid discipline. Academic misconduct includes all acts of dishonesty in any academically related matter and any knowing or intentional help or attempt to help, or conspiracy to help, another student.

The Academic Misconduct Disciplinary Policy will be followed in the event of academic misconduct.

Disability Statement

If you are registered with the Office of Disability Services, please make an appointment with me as soon as possible to discuss any course accommodations that may be necessary. If you have a disability, but have not contacted the Office of Disability Services, please call 348-4285 or visit 133-B Martha Parham Hall East to register for services. Students who may need course adaptations because of a disability are welcome to make an appointment to see me during office hours. Students with disabilities must be registered with the Office of Disability Services, 133-B Martha Parham Hall East, before receiving academic adjustments.

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It is the goal of The University of Alabama to cultivate a hospitable campus environment in which all members of the University can work together and learn from each other in a climate of mutual respect.

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