Sanda Kaufman's Applied Quantitative Reasoning Course Schedule

Applied Quantitative Reasoning I

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601

UST/PAD/PDD 601

Schedule by week

Course Schedule by Week

For accuracy and changes, always rely on information distributed in class.

WEEK #	WEEK #	WEEK #	WEEK #
1 2 3 4	5 no class 6 Midterm 1 7 8	9 spring break 10 computer work 11 Midterm 2 12	13 14 GIS lab 15 GIS lab 16 , Final
Syllabus	Homework Schedule	Readings

*WEEK 1:*	The nature of statistical analysis; objects, variables, scales.
	Kachigan Chapters 1, 2 Basic notations used in the text.


Knowledge Base: Ethics in Research; Types of data; The language of variables; The unit of analysis; Measurement; Levels of measurement Qualitative research	Math review Statistics Glossary: Basic Definitions Variables Measurement scales

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*WEEK 2:*	Data Reduction: frequency distributions; central tendency. Computer: Spreadsheets, Web;
Computer lab	Kachigan, Chapters 3, 4.


Surfstat: Summarizing & describing data Exploring data -- ED (Education Queensland): boxplots histograms	HyperStat: Parameters Statistics Frequency polygons Histograms

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*WEEK 3:*	Data Reduction: Variation.
	Kachigan Chapter 5


Knowledge Base: Descriptive statistics HyperStat: Summation notation Mean Mode	HyperStat: Median Summary, Central Tendency Jay Hill, Means, medians & modes ED: Interesting mean facts HyperStat: Computation routines	HyperStat: Range Interquartile range Variance Standard Deviation Jay Hill, Variation ED: Interesting variation facts

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*WEEK 4:*	Probability basics. Inference: sampling distributions
	Kachigan Chapters 6 sec.1-12, 7
Andrejs Dunkels:	How come you are so fond of all those probability people? Because they are never negative.


HyperStat: Summary, variation Box plots Stem-and-Leaf Normal distribution: What is it? And Why is it important? Standard normal distribution Galton Machine	HyperStat: Area under portions of the curve Normal approximation simulation K. Dear: Normal distribution B. Zielman: Central Limit Theorem Galton's Quincunx Surfstat: Variation & Probability	HyperStat: Simple probability Conditional probability Binomial distribution Let's make a deal 1 OR "Let's make a deal" game 2 Surfstat: Introduction to Probability VassarStats: Probabilities ED: Probabilities SurveyMonkey survey design tutorial surveys, Creative Research Systems purposive sampling

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WEEK 5:

Presidents' Day

No class!

*WEEK 6:*
MIDTERM 1	(class time, open book)

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*WEEK 7:*	Parameter estimation
Computer lab	Kachigan Chapter 8, Sections 1-5


Knowledge Base: Sampling; Sampling terminology; Statistical terms for sampling;	Knowledge Base: Probability sampling; Nonprobability sampling design David Stockburger: Sampling distributions**

K. Dear: Sampling distribution of the mean

Exploring data: Confidence Intervals

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*WEEK 8:*	Hypothesis testing.
Computer lab	Kachigan Chapter 9, Sections 1-4.


HyperStat: Proportion Confidence interval for proportion Standard deviation Variance Exploring data: hypothesis testing Confidence interval simulation	Knowledge Base: The planning-evaluation cycle Developing an evaluation culture Evaluation; The basic evaluation model Hypotheses	HyperStat: Logic of hypothesis testing: ruling out change Null hypothesis Steps Why null hypothesis is not accepted At what level is the null rejected? Statistical and practical significance

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WEEK 9:

Spring Break

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WEEK 10:

Computer Lab

Computer Work

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*WEEK 11:*
MIDTERM 2 (class time, open book)

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*WEEK 12:*	Identification of association: Correlation
	Kachigan Chapter 10.


Knowledge Base: Validity; Reliability; Relationship between validity and reliability	Knowledge Base: The General Linear Model; Establishing cause-effect relationships; Stanton: Linear regression	Lethen: Simple linear regression Dear: regression TexaSoft: Simple Linear regression Yafee: Common correlation and reliability analysis with SPSS for Windows Exloring data: Linear regression and leverage points simulation

Knowledge Base:

Type I and Type II errors
One- and 2-tailed tests
Confidence intervals and hypothesis testing
Nonsignificant findings

Stanton: Test of proportion
Knowledge Base:

Types of relationships

Pearson's r
Computation of r
Examples

David Stockburger: Correlation
Correlation calculator (in statistics calculators)
David Lane: Simulation
Guessing correlations

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*WEEK 13:*	Identification of association: Regression.
	Kachigan Chapter 11, sections 7-16.


HyperStat: Introduction--between subjects Within-subjects		VassarStats, Richard Lowry ANOVA David Stockburger: ANOVA Knowledge Base: Analysis of covariance


Knowledge Base: Dummy variable coding; Regression to the mean Scaling

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*WEEK 14:*	Identification of association: categorical data
Computer lab	Kachigan Chapter 13.


HyperStat: Introduction Calculations Assumptions Reporting results		VassarStats, Richard Lowry Chi square for Contingency Table (go to Frequency Data) ** Keith Dear: Inference for count data

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*WEEK 15:*	Decision tools: Decision analysis
Computer lab	Kachigan Chapter 21, sec. 1-2. Web materials: Get some critical skills from the University at Albany's Internet Tutorials


Knowledge Base: Advances in quasi-experimental thinking Deductive & inductive thinking	Research design Designing designs for research Types of designs

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*WEEK 16*	FINAL EXAM (class time, open book)

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BMR can also be estimated as 70 W^0.75 = kcal/day,
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