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# SPSS Statistics Essential Training

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1. ### Introduction

2m 58s
1. Welcome
1m 5s
2. Using the exercise files
40s
3. Using a different version of the software
1m 13s
2. ### 1. Getting Started

19m 0s
1. Taking a first look at the interface
11m 49s
7m 11s
3. ### 2. Charts for One Variable

21m 54s
1. Creating bar charts for categorical variables
7m 18s
2. Creating pie charts for categorical variables
2m 54s
3. Creating histograms for quantitative variables
5m 45s
4. Creating box plots for quantitative variables
5m 57s
4. ### 3. Modifying Data

33m 10s
1. Recoding variables
5m 33s
2. Recoding with visual binning
5m 33s
3. Recoding by ranking cases
5m 26s
4. Computing new variables
5m 37s
5. Combining or excluding outliers
5m 21s
6. Transforming outliers
5m 40s
5. ### 4. Working with the Data File

28m 12s
1. Selecting cases
6m 44s
2. Using the Split File command
5m 12s
3. Merging files
5m 33s
4. Using the Multiple Response command
10m 43s
6. ### 5. Descriptive Statistics for One Variable

22m 14s
1. Calculating frequencies
8m 43s
2. Calculating descriptives
5m 31s
3. Using the Explore command
8m 0s
7. ### 6. Inferential Statistics for One Variable

16m 3s
1. Calculating inferential statistics for a single proportion
6m 6s
2. Calculating inferential statistics for a single mean
5m 39s
3. Calculating inferential statistics for a single categorical variable
4m 18s
8. ### 7. Charts for Two Variables

30m 43s
1. Creating clustered bar charts
7m 10s
2. Creating scatterplots
5m 8s
3. Creating time series
3m 24s
4. Creating simple bar charts of group means
4m 17s
5. Creating population pyramids
3m 0s
6. Creating simple boxplots for groups
3m 3s
7. Creating side-by-side boxplots
4m 41s
9. ### 8. Descriptive and Inferential Statistics for Two Variables

45m 28s
1. Calculating correlations
8m 17s
2. Computing a bivariate regression
6m 27s
3. Creating crosstabs for categorical variables
6m 34s
4. Comparing means with the Means procedure
6m 33s
5. Comparing means with the t-test
6m 4s
6. Comparing means with a one-way ANOVA
6m 30s
7. Comparing paired means
5m 3s
10. ### 9. Charts for Three or More Variables

24m 30s
1. Creating clustered bar charts for frequencies
6m 34s
2. Creating clustered bar charts for means
3m 45s
3. Creating scatterplots by group
4m 13s
4. Creating 3-D scatterplots
4m 25s
5. Creating scatterplot matrices
5m 33s
11. ### 10. Descriptive Statistics for Three or More Variables

30m 57s
1. Using Automatic Linear Models
11m 52s
2. Calculating multiple regression
9m 3s
3. Comparing means with a two-factor ANOVA
10m 2s
12. ### 11. Formatting and Exporting Tables and Charts

29m 29s
1. Formatting descriptive statistics
6m 1s
2. Formatting correlations
7m 49s
3. Formatting regression
10m 19s
4. Exporting charts and tables
5m 20s
13. ### Conclusion

51s
1. What's next
51s

## Video: Welcome

Hi, I am Bart Poulson, and I would like to welcome you to SPSS Statistics Essential Training. SPSS is a statistics and data analysis program from IBM. It's very popular, it's very powerful, and it's a great way to work with your data for new insights. In this course, I'll demonstrate how to use charts, such as histograms, bar charts, scatter plots, and box plots to get the big picture of your data. I will show you how to use inferential statistics, like T-Tests, analysis of variance, and chi-square to help you determine the reliability of your results and how they can generalize to a broader population.

• ## FAQs

SPSS Statistics Essential Training
5h 5m Beginner Aug 17, 2011

In this course, author Barton Poulson takes a practical, visual, and non-mathematical approach to the basics of statistical concepts and data analysis in SPSS, the statistical package for business, government, research, and academic organization. From importing spreadsheets to creating regression models to exporting presentation graphics, this course covers all the basics, with an emphasis on clarity, interpretation, communicability, and application.

Topics include:
• Importing and entering data
• Creating descriptive charts
• Modifying and selecting cases
• Calculating descriptive and inferential statistics
• Modeling associations with correlations, contingency tables, and multiple regression
• Formatting and exporting tables and charts
Subjects:
Software:
Author:

## Welcome

Hi, I am Bart Poulson, and I would like to welcome you to SPSS Statistics Essential Training. SPSS is a statistics and data analysis program from IBM. It's very popular, it's very powerful, and it's a great way to work with your data for new insights. In this course, I'll demonstrate how to use charts, such as histograms, bar charts, scatter plots, and box plots to get the big picture of your data. I will show you how to use inferential statistics, like T-Tests, analysis of variance, and chi-square to help you determine the reliability of your results and how they can generalize to a broader population.

I will also show you how to enter and read data in SPSS and how to check and clean data. If you're new to SPSS, I think you are going to be amazed with what you can do. If you're an experienced SPSS user, there will be many new tools and methods that can help you gain even more insight from your data, and with that in mind, if you're ready to get going, let's get started with SPSS Statistics Essential Training.

There are currently no FAQs about SPSS Statistics Essential Training.

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