The Pennsylvania State University SPSS Lessons & Pensilvanya Devlet Üniversitesi SPSS Dersleri

Video Examples in Minitab and SPSS


Lesson/Section
Walk Through Movie Title 
1.3 An Introduction to Minitab
4.1 Finding the Probabilities of Binomial Distributions
6.2 Finding a Confidence Interval for a Population Proportion in Minitab
7.3 Finding a 95% Confidence Interval for Continuous Data in Minitab
9.2 Comparing a t-Value to a Critical t-Value
10.2 Conducting a Pooled t-Test
10.2 Performing a Separate Variance 2-sample t Procedure
10.3 Conducting a Paired t-Test
11.1 Comparing Two Population Variances
11.2 Using Minitab to Calculate the Difference Between Two Proportions
11.3 Performing a Chi-Square Test of Independence from Summarized Data
12 Creating a Scatterplot
12 Conducting a Regression Analysis
12 Making Inferences About Correlation Coefficients
13 Conducting an ANOVA with Unstacked Data
13 Conducting an ANOVA with Stacked Data
Using SPSS SPSS logo
Please note:  The statistical software Minitab is fully supported in this course.  SPSS is not fully supported in this course by instructors.  The SPSS walk-throughs below are provided as some assistance for students that must use SPSS.  Instructors can not be expected to provide full support for multiple statistical software packages.
Lesson
 Walk-Through
2 Creating Descriptive Statistics
2 Creating Boxplots
4 Calculating Binomial Probabilties
7 Creating a Normal Probability Plot
7 Obtaining a 90% t-interval
9 Calculating a p-value
10 Performing a Pooled t-procedure
10  Conducting a 2-sample t-test
10 Determining whether to use the pooled t-test or the non-pooled t-test
10  Perform a probability plot on differences
10  Performing a Paired t-Test
11  Comparing Two Population Variances
11  Chi-square Analysis for Two Categorical Variables
12  Creating a Scatterplot
12  Obtaining a Regression Equation
12  Calculating a Correlation Coefficient
12  Conduct a Regression Analysis
12  Make Inferences about New Observations
13  Drawing a Scatterplot
13  Conduct a 1-way ANOVA

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