Instructors:
 Melinda S. Jensen
 Jason R. Finley

Teaching Assistants:

Schedule:
Lab sections:
room 289, Psych Building
Mondays: 9am, 10:30am, 3pm, 4:30pm
Wednesdays: 9am, 12pm, 3pm, 4:30pm
Lectures:
room 31, Psych Building
Tuesdays: 10:30am & 12pm
Office Hours:
room 35, Psych Building
Thursdays: 10:30am1:15pm

Syllabus: Syllabus235_2008Spring_Jan14_2008.doc
Grade calculation procedure: Psych235TestGrading.xls
Link to ALEKS website: http://www.aleks.com
Link to Videos on Demand: http://www.learner.org/resources/series65.html
Handouts, etc.
 Handout_ExpectedValue_Variance.doc
 Formulas for and properties of expected value and variance of discrete random variable
 DecisionTreeForHypothesisTesting.pdf
 use to determine which test statistic to use, and what the sampling distribution of that test statistic is
 StatisticsDecisionTree.pdf
 very cool overview of the variety of statistical tests covered in the course, and circumstances under which each is used.
 Reading research articles: here are two helpful papers about reading psychology research articles, including the Results sections of articles (where the statistics are reported).
Lecture powerpoint presentations:
 Lecture 1 (Jan. 15th, 02008): Psych235_Lecture1_080114web.ppt
 Intro, logistics, what is statistics, data
 Lecture 2 (Jan. 22nd, 02008): 235_lecture2_080122.ppt
 displaying data, central tendency (mean, median, mode), standard deviation
 Lecture 3 (Jan. 29th, 02008 ):
235_lecture3_080129.ppt
 population vs sample, intro to probability, sample space, counting rules
 Lecture 4 (Feb. 05th, 02008): 235_lecture4_080205.ppt
 more probability, set theory, venn diagrams, etc.
 Lecture 5 (Feb. 12th, 02008): 235_lecture5_080212.ppt
 Conditional Probability, mutually exclusive vs. independent vs. dependent events
 Lecture 6 (Feb. 19th, 02008): 235_lecture6_080219.ppt
 Scales of measurement, random variables, etc.
 Lecture 7 (Feb. 26th, 02008): 235_lecture7_080225.ppt
 SAMPLING DISTRIBUTION, Binomial, Normal
 Lecture 8 (Mar. 04th, 02008): 235_lecture8_080304.ppt
 Normal distribution, Central Limit Theorem, more theoretical distributions
 Lecture 9 (Mar 11th, 02008): 235_lecture9_080311a.ppt
 Special Lecture A (Mar 13th, 02008): 235_SpecialLectureA_080313.ppt
 Conditional Probability, Law of Total Probabilities, Baye's Theorem, ALEKS examples
 Lecture 10 (Mar 25th, 02008): 235_lecture10_080325.ppt
 Hypothesis Testing, Type I and II errors, twotailed vs. onetailed tests
 Special Lecture B (Mar 27th, 02008): 235_SpecialLectureB_080327.ppt
 Random Variables, Expected Value & Variance
 Lecture 11 (Apr 1st, 02008): 235_lecture11_080401.ppt
 Hypothesis Testing, ANOVA
 Lecture 12 (Apr 8th, 02008): 235_lecture12_080408.ppt
 Lecture 13 (Apr 15th, 02008): 235_lecture13_140408.ppt
 Relationships among variables, Correlation, Simple Linear Regression
 Lecture 14 (Apr 22nd, 02008): 235_lecture14_220408.ppt
 Hypothesis Testing & Confidence Intervals for Regression, Correlation
 Lecture 15 (Apr 29th, 02008): 235_lecture15_290408.ppt
 Summary overview and examples of circumstances under which various statistical tests are used, along with samples of how statistics are reported in research articles.
 235_lecture15_290408_Notes.pdf
