To load a printable copy of the syllabus, click here.
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Study of descriptive and inferential statistics, including analysis of variance and measures of correlation. Focus on applications to social and psychological data.
Meets requirements in Business Administration, Political Science, Psychology, and Sociology majors.
By the end of this course, you ought to be able to
Pagano, R.R. (1998). Understanding statistics in the behavioral sciences, 5th edition. Pacific Grove, CA: Brooks/Cole.
Follow these steps:
A. Choose a research problem in your area of interest by reviewing course notes, reading books and journals, or consulting the popular media. For example, you might be interested in the water level problem, that is, the apparent difficulty which intelligent people have figuring out the direction which the surface of water will take when its container is tilted. Or you might be interested in the news reports of the poor performance of U.S. students on mathematics tests, compared to their peers in several other countries.
B. Once you have chosen a problem, find five scholarly sources which have considered the problem in the past. Scholarly sources include most journal articles, many books, and some Web sites. You must exercise discernment in your choice of sources, and at least three of your sources must be from academic journals.
C. Using what you will learn about research design in this course, set up a research study to gather data to help you answer the research problem. You will get good ideas about designing your study from the scholarly sources you have read on your topic.
D. Then, you have one of three options.
i. You may choose to conduct the study you have designed, gathering new data. If you choose this option, consult with me about meeting the ethical obligations of research.
ii. You may find appropriate data in a published database. Several databases are linked to this syllabus, and you will be able to find others electronically.
iii. You may make up some data. If you choose this option, you must either generate the numbers randomly, or in such a way that the results will support your research hypothesis.
E. Analyze the data from step D, choosing the appropriate descriptive and inferential statistics, including graphs.
F. Explain the meaning of your results in a discussion section. Tell what the results indicate in words. Connect your results with the results of the studies you considered in section B. Draw a conclusion or a set of conclusions.
G. Identify your sources in a reference list.
H. Include your statistical computations, either by hand or computer, in an appendix.
We will be studying the meaning of statistical analysis with formulas and calculations, in order to develop a deeper understanding of what we are doing. However, most statistical analysis in research settings and in business is done - often badly - by computer programs. Consequently, we will also learn the statistical capabilities of two applications - Microsoft Excel and SPSS.
Laboratory sessions will be held in the PC laboratory in the Paine Science Building.
You are responsible to learn these applications during the laboratory sessions.
In the lab sessions, you will do two things. First, you will check your homework calculations to verify your work. Second, you will be given extra problems to work on in lab sessions, as listed in the assignment calendar. Please print the results of the extra problem assignments and submit them with your homework. You must attend and participate in one lab session per week. Computer assignments will be collected at the end of each lab session. You may not replace missed computer lab assignments.
|
Date |
Assignment |
Value |
Date |
Assignment |
Value |
|
| 9/7 | Homework Chapter 1 | 1/17 of 25% | 11/2 | Homework Chapter 12 | 1/17 of 25% | |
| 9/9 | Homework Chapter 2 | 1/17 of 25% | 11/6 | Second Examination |
15% |
|
| 9/16 | Homework Chapter 3 | 1/17 of 25% | 11/11 | Homework Chapter 13 |
1/17 of 25% |
|
| 9/23 | Homework Chapter 4 | 1/17 of 25% | 11/16 | Homework Chapter 14 | 1/17 of 25% | |
| 9/25 | First Examination |
15% |
11/20 | Homework Chapter 15 | 1/17 of 25% | |
| 9/30 | Homework Chapter 5 |
1/17 of 25% |
11/23 | Homework Chapter 16 | 1/17 of 25% | |
| 10/7 | Homework Chapter 6 | 1/17 of 25% | 12/4 | Homework Chapter 17 | 1/17 of 25% | |
| 10/14 | Homework Chapter 7 | 1/17 of 25% | 12/7 | Research Paper Due |
15% |
|
| 10/21 | Homework Chapter 8 | 1/17 of 25% | 12/11 | Homework Chapter 18 | 1/17 of 25% | |
| 10/26 | Homework Chapter 9 | 1/17 of 25% | ||||
| 10/30 | Homework Chapter 10 | 1/17 of 25% | 12/17 | Final Examination: 10:30 a.m. |
15% |
Includes specific homework assignments
|
Chapter |
Learning objectives |
Homework |
|
1 |
Understand how statistics relates to scientific method and epistemology
Realize the usefulness of statistics in the search for truth Define and identify these terms: population, sample, variable, independent variable, dependent variable,extraneous variable, data, statistic, parameter, observational study, true experiment, descriptive, inferential, correlational, parameter estimation, random sampling Load and edit data in Microsoft Excel |
1, 5, 6, 7, 8, 9
Due: 9/7 Lab: Enter the data from 9 a, b, and c in Excel. Save it. Copy it to SPSS and save it. |
|
2 |
Understand and apply the rules of mathematical notation, summation,
real limits, significant figures, and rounding
Distinguish among scales of measurement Differentiate discrete variables from continuous variables |
2, 3, 4, 7, 9, 10
Due 9/9 Lab: Enter the data from 5 (a - d) and 9 in Excel. Find the sums. Copy to SPSS and find the count of scores. |
|
3 |
Construct simple frequency distributions and grouped frequency distributions
Add relative frequency, cumulative frequency, and cumulative percentage distributions Compute percentile points and percentile ranks Select the appropriate use of these frequency graphs: bar graph, histogram, frequency polygon, cumulative percentage curve, stem-and-leaf diagram Identify symmetrical and skewed distributions Prepare graphs with honest impact, and detect graphic deception |
3, 4, 5, 6, 7, 8, 14, 15, 16, 17, 18
Due 9/16 Lab: Use Excel to form a frequency distribution of the Age data in the Phramous dataset. Then, graph homework problems 4b and 18. |
|
4 |
Compute the arithmetic mean and identify its properties
Define and compute the median and the mode Explain how mean and median relate to skew Understand and compute range, standard deviation, SS, MS, and variance |
3, 4, 6, 9, 13 - 16, 20, 29, 30, 32, 33
Due 9/23 Lab: Graph #16, handout |
|
5 |
Mathematically describe the normal curve
Compute standard scores (Z - scores) and find their percentiles, areas, and probabilities (PAP) Use Z - scores to reverse from PAP to raw scores |
3, 5, 6, 8 - 19
Due: 9/30 Lab: Graph # 18 |
|
6 |
Define these terms: scatter plot, Y intercept, slope, positive/negative/inverse
relationships, perfect/imperfect relationship
Compute and interpret Pearson r, COD, and Spearman rho. Distinguish between correlation and causation. |
3, 8, 11, 14, 17, 18 (Careful!)
Due: 10/7 Lab: Graph #18. SPSS handout. |
|
7 |
Define these terms: least-squares regression line, standard
error of estimate, homoscedasticity
Compute the Y intercept and slope of a line and use them as regression coefficients to predict values of Y' Understand the application of SEE Apply and interpret multiple correlationand multiple regression Know when not to use linear regression for prediction |
5, 7, 10 - 13
Due: 10/14 Lab: SPSS handout. Graph the data in # 13. |
|
8 |
Understand the purpose of sampling, and use a table of random digits
and a computer to sample both with replacement and without replacement.
Use resampling to compare sample results. Distinguish between a priori and a posteriori probabilities. Compute each of them. Apply the addition and multiplication rules of probability. Connect probabilities to Z - scores. |
2, 3, 4, 8 - 13, 15, 18, 21 - 23
Due: 10/21 Lab: Handout |
|
9 |
Use the binomial table to simplify the binomial expansion.
Use Pascal's triangle to simplify the binomial expansion. Compute the mean and standard deviation of a binomial distribution. |
2, 4, 5, 9, 10, 13, 15, 16
Due 10/26 Lab: Handout |
|
10 |
Identify the features of a repeated measures design.
Define these terms: alternative hypothesis, null hypothesis, decision rule, alpha, Type I error, Type II error, one-tailed probability, two-tailed probability Conduct and interpret the Sign test Understand the concept of statistical power, and know how to compute it and maximize it. |
7, 8, 9, 12, 13, 14
Due 10/30 Lab: Handout |
|
12 |
Know the general characteristics of sampling distributions.
Use resampling to generate sampling distributions of the mean. Apply the sampling distribution of the mean in the Normal Deviate Test using Z - scores. Know the Central Limit Theorem Apply the Critical Region approach to statistical decisions, using resamplling. |
5, 8, 13, 14, 15, 16, 17, 19
Due 11/2 Lab: Handout |
|
13 |
Understand the concept of degrees of freedom.
Apply the t-test for single samples, and compare it to the Normal Deviate Test with Z. Use t to establish confidence intervals and critical regions. Use t to evaluate Pearson r. |
3, 4, 9, 12, 13, 17, 18
Due 11/11 Lab: Handout |
|
14 |
Distinguish correlated groups from independent groups.
Understand and apply the relevant t test for correlated groups and for independent groups. Know the assumptions underlying the t test. |
9, 11 - 13, 16, 19
Due 11/16 Lab: Handout |
|
15 |
Understand and apply the one-way analysis of variance (ANOVA).
Know the relationship between ANOVA and t tests. Understand the concepts of factorial designs and interactions. |
4, 7, 12, 14, 15, 16, 18, 19
Due 11/20 Lab: Handout |
|
16 |
Understand and apply the t test for independent groups to planned
comparisons
Understand and apply Tukey's HSD test for post hoc comparisons |
1, 3, 6, 9 Due 11/23
Lab: Handout |
|
17 |
Compute, evaluate, and interpret the two-way or factorial analysis of variance | 8, 9, 10 Due 12/4 Lab: Handout |
|
18 |
Understand and apply the chi-squared tests for goodness of fit and
for independence
Know when to apply the Wilcoxon and Kruskal-Wallis tests |
5, 12-15, 17 Due 12/11
Lab: Handout |
Shortly, you will find an introduction to Excel here.
2. Drawing column charts with Excel.
3. Setting spacing between columns in Excel charts.
Shortly, you will find an introduction to SPSS here.
Several statistical databases maintained by federal government agencies are available on this site.
A discussion group folder has been added to your Groupwise account. It should show up in the left panel of your Groupwise screen as a folder labeled Statistics Discussion under your Cabinet files. If there is a plus sign (+) in the box to the left of your Cabinet files icon, click it to show the folders available: one of them should be Statistics Discussion.
When you get to the Statistics Discussion group icon, it chould have a receiving hand over a folder icon. If it doesn't, please let me know.
To post a message to the Discussion group, click on the icon, then click File...New...Discussion. That will open a dialog box, and you can send an e-mail as usual.
Remember that items you post to the discussion group may be read by any member of the class, including the teacher. However, nobody else has access to your musings.
Click on the date of the presentation you wish to review. You will reach an index of the day's (or week's) slides. Click on the first of the list if you wish to see the entire presentation, or on any slide in the list where you wish to start.
The slides will be presented whole, with no animations or sound effects. Please tell me of any improvements you can suggest.
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| 9/18 | 9/21 | 9/23 | 9/25 | 9/28 | 9/30 | 10/5 |
| 10/7 | 10/9 | 10/12 | 10/14 | 10/16 | 10/19 | 10/21 |
| 10/23 | 10/26 | 10/28 | 10/30 | 11/2 | 11/4 | 11/6 |
| 11/9 | 11/11 | 11/13 | 11/16 | 11/18 | 11/20 | 11/23 |
| 11/30 | 12/2 | 12/4 | 12/7 | 12/9 | 12/11 | 12/17 |
Last updated 30 November, 1998
Copyright Paul Young