Instructors:
- Melinda S. Jensen
- Jason R. Finley
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Teaching Assistants:
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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: 10:30am-1:15pm
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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, two-tailed vs. one-tailed 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
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