**Exercises:**

- STAT1S - Exercise Using SPSS to Explore Levels of Measurement
- STAT2S - Exercise Using SPSS to Explore Measures of Central Tendency and Dispersion
- STAT3S - Exercise Using SPSS to Explore Measures of Skewness and Kurtosis
- STAT4S - Exercise Using SPSS to Explore Graphs and Charts
- STAT5S - Exercise Using SPSS to Explore Hypothesis Testing - One-Sample t Test
- STAT6S - Exercise Using SPSS to Explore Hypothesis Testing - Independent-Samples t Test
- STAT7S - Exercise Using SPSS to Explore Hypothesis Testing – Paired-Samples t Test
- STAT8S - Exercise Using SPSS to Explore Hypothesis Testing – One-Way Analysis of Variance
- STAT9S - Exercise Using SPSS to Explore Crosstabulation
- STAT10S - Exercise Using SPSS to Explore Chi Square
- STAT11S - Exercise Using SPSS to Explore Measures of Association
- STAT12S - Exercise Using SPSS to Explore Spuriousness
- STAT13S - Exercise Using SPSS to Explore Correlation
- STAT14S - Exercise Using SPSS to Explore Bivariate Linear Regression
- STAT15S - Exercise Using SPSS to Explore Multiple Linear Regression
- STAT16S - Exercise Using SPSS to Explore Dummy Variable Regression

**Author: Ed Nelson
Department of Sociology M/S SS97
California State University, Fresno
Fresno, CA 93740
Email: **ednelson@csufresno.edu

*© The Author, 2015, 2016; Last Modified September 23, 2016*

This is the first in a series of exercises for instructors teaching an introductory class in statistics. This set uses SPSS. There is a second set of exercises using PSPP and a third set using SDA. The exercises were written so each exercise is independent of the others and any one exercise can be used even if the other exercises are not used. There is one exception. Exercises STAT14S, STAT15S, and STAT16S all focus on regression and are best used as a unit. Because the first 13 exercises are written to stand alone there is often duplication across the exercises. If you use several of the exercises together you may want to edit them to remove this duplication or to add material of your own.

The exercises also serve to introduce students to SPSS which is a commonly used statistical package used in many classes. A good reference on using SPSS is *SPSS for Windows Version 23.0 A Basic Tutorial* by Linda Fiddler, John Korey, Edward Nelson (Editor), and Elizabeth Nelson. The online version of the book is at the SSRIC Website. Students are referred in the exercises to appropriate places in this book.

The data set used in this exercise is gss14_subset_for_classes_STATISTICS.sav which is a subset of the 2014 General Social Survey. Some of the variables in the GSS have been recoded to make them easier to use and some new variables have been created. The data have been weighted according to the instructions from the National Opinion Research Center.

Each exercise consists of five files all of which can be downloaded:

- the data file in SPSS format,
- notes to instructor as a Word (docx) file,
- the SPSS syntax necessary to carry out the exercise as a SPSS syntax file,
- the SPSS output for the exercise as a SPSS output file,
- the exercise itself as a Word (docx) file.

These exercises are not a comprehensive treatment of these statistical tools. They do not discuss how to compute any of the statistics nor do not discuss all the assumptions of these statistics. You may want to add some of this information to the exercises.

You have permission to use these exercises and to revise them to fit your needs. I would appreciate receiving a copy of your revision so I can see how the exercises are being used. If you find any errors in the exercise, please email me and I will correct them. I would also like to hear from you about your experiences using the exercises. Please contact me for more information.

Each exercise has a set of keywords which are listed below. After each keyword you’ll find the words SPSS, statistics or methods indicating whether it is a SPSS or a statistical or a methodological term. There are also two spreadsheets – one for statistical and methodological terms and another for SPSS terms – which will help you find appropriate exercises.

**Keywords for the Exercises**

- STAT1S:Frequencies (SPSS), levels of measurement (statistics), nominal measure (statistics), ordinal measure (statistics), interval measure (statistics), ratio measure (statistics)
- STAT2S:Frequencies (SPSS), mode (statistics), median (statistics), mean (statistics), skewness (statistics), normal distribution (statistics), histogram (statistics), range (statistics), interquartile range (statistics), variance (statistics), standard deviation (statistics), third quartile (statistics), first quartile (statistics),
- STAT3S: Frequencies (SPSS), normal distribution (statistics), mean (statistics), median (statistics), mode (statistics), skewness (statistics), kurtosis (statistics), histogram (statistics)
- STAT4S: Frequencies (SPSS), explore (SPSS), pie chart (statistics), bar chart (statistics), histogram (statistics), box plot (statistics), skewness (statistics), third quartile (statistics), first quartile (statistics), interquartile range (statistics), median (statistics), range (statistics), outliers (statistics), extreme values (statistics)
- STAT5S: Compare means (SPSS), select cases (SPSS), one-sample t test (SPSS and statistics), population (statistics), sample (statistics), statistic (statistics), parameter (statistics), inference (statistics), probability sampling (statistics), non-probability sampling (statistics), probability of selection (statistics), simple random sample (statistics), sampling error (statistics), research hypothesis (statistics), null hypothesis(statistics)
- STAT6S: Compare means (SPSS), independent-samples t test (SPSS and statistics), population (statistics), sample (statistics), statistic (statistics), parameter (statistics), inference (statistics), probability sampling (statistics), non-probability sampling (statistics), sampling error (statistics), research hypothesis (statistics), null hypothesis(statistics)
- STAT7S: Compare means (SPSS), paired-samples t test (SPSS and statistics), population (statistics), sample (statistics), statistic (statistics), parameter (statistics), inference (statistics), probability sampling (statistics), non-probability sampling (statistics), sampling error (statistics), research hypothesis (statistics), null hypothesis(statistics)
- STAT8S: Compare means (SPSS), one-way analysis of variance (SPSS and statistics), population (statistics), sample (statistics), statistic (statistics), parameter (statistics), inference (statistics), probability sampling (statistics), non-probability sampling (statistics), sampling error (statistics), research hypothesis (statistics), null hypothesis(statistics)
- STAT9S: Crosstabs (SPSS), crosstabulation (statistics), row percents (statistics), column percents (statistics), independent variable (statistics), dependent variable (statistics), two-variable tables (statistics), three-variable tables (statistics)
- STAT10S: Crosstabs (SPSS), Chi Square (statistics), observed frequencies (statistics), expected frequencies (statistics), degrees of freedom (statistics), significance (statistics), crosstabulation (statistics)
- STAT11S: Crosstabs (SPSS), Chi Square (statistics), column percents (statistics), independent variable (statistics), dependent variable (statistics), measures of association (statistics), symmetric measures (statistics), asymmetric measures (statistics), Contingency Coefficient (statistics), Phi (statistics), Cramer's V (statistics), Lambda (statistics), Gamma (statistics), Somer's d(statistics), Kendall's Tau-b (statistics), Kendall's Tau-c (statistics)
- STAT12S: Crosstabs (SPSS), recode (SPSS), column percents (statistics), Chi Square(statistics), measures of association (statistics), hypothesis (methods), dummy table (methods), two-variable tables (statistics), three-variable tables (statistics), spuriousness (statistics)
- STAT13S: Correlate (SPSS), compare means (SPSS), scatterplot (statistics), linear relationship (statistics), positive relationship (statistics),, negative relationship (statistics), curvilinear relationship (statistics), Pearson Correlation Coefficient (r) (statistics), Coefficient of Determination (r2) (statistics), correlation matrix (statistics), Eta (statistics), Eta-Squared (statistics)
- STAT14S: Linear regression (SPSS), frequencies (SPSS), select cases (SPSS), scatterplot (statistics), Pearson correlation coefficient (statistics), Pearson correlation coefficient squared (statistics), analysis of variance (statistics), linear relationship, linear regression equation (statistics), slope (statistics), constant (statistics), t test (statistics)
- STAT15S: Linear regression (SPSS), frequencies (SPSS), select cases (SPSS), outliers (statistics), multiple linear regression (statistics), unstandardized regression coefficient (statistics), standardized regression coefficient (statistics), Pearson Correlation Coefficient (statistics), Coefficient of Determination (statistics), adjusted R squared (statistics), tests of significance (statistics), multicollinearity (statistics)
- STAT16S: Linear regression (SPSS), select cases (SPSS), frequencies (SPSS), compute (SPSS), dummy variables (statistics), multiple linear regression (statistics), unstandarized regression coefficient (statistics), standardized regression coefficient (statistics), Pearson Multiple Correlation Coefficient (statistics), Coefficient of Determination (statistics), tests of significance (statistiics)