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Useful Tips on Data Analysis

Useful Tips on Data Analysis. Thursday, April 1, 2010. Knowledge about the level of measurement helps not only in interpreting the data but also in selecting the appropriate statistical procedures to analyze the data. The four different levels of measurement, in ascending order of accuracy, are:. Nominal data has no order and the use of numbers to classify categories is arbitrary. Example: 1=Honda, 2=Toyota, 3=Nissan, etc. can be used to classify different Japanese car make. Ratio data are interval data ...

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Useful Tips on Data Analysis | ksa-stat.blogspot.com Reviews

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Useful Tips on Data Analysis. Thursday, April 1, 2010. Knowledge about the level of measurement helps not only in interpreting the data but also in selecting the appropriate statistical procedures to analyze the data. The four different levels of measurement, in ascending order of accuracy, are:. Nominal data has no order and the use of numbers to classify categories is arbitrary. Example: 1=Honda, 2=Toyota, 3=Nissan, etc. can be used to classify different Japanese car make. Ratio data are interval data ...

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2 nominal

3 ordinal

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5 and ratio

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Useful Tips on Data Analysis | ksa-stat.blogspot.com Reviews

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Useful Tips on Data Analysis. Thursday, April 1, 2010. Knowledge about the level of measurement helps not only in interpreting the data but also in selecting the appropriate statistical procedures to analyze the data. The four different levels of measurement, in ascending order of accuracy, are:. Nominal data has no order and the use of numbers to classify categories is arbitrary. Example: 1=Honda, 2=Toyota, 3=Nissan, etc. can be used to classify different Japanese car make. Ratio data are interval data ...

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ksa-stat.blogspot.com

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Useful Tips on Data Analysis: February 2010

http://ksa-stat.blogspot.com/2010_02_01_archive.html

Useful Tips on Data Analysis. Tuesday, February 23, 2010. Before you begin to analyze your data, it is important to check the assumptions associated with each statistical procedure. Many of the procedures in SPSS assume that the scores on the variable of interest have a normal distribution. This is due to the fact that most of the statistics, such as the t statistic, the F statistic and r statistic (Pearson correlation coefficient) are all derived theoretically from a normal distribution. Reflect and squ...

2

Useful Tips on Data Analysis: TESTING FOR NORMALITY

http://ksa-stat.blogspot.com/2010/02/before-you-begin-to-analyze-your-data.html

Useful Tips on Data Analysis. Tuesday, February 23, 2010. Before you begin to analyze your data, it is important to check the assumptions associated with each statistical procedure. Many of the procedures in SPSS assume that the scores on the variable of interest have a normal distribution. This is due to the fact that most of the statistics, such as the t statistic, the F statistic and r statistic (Pearson correlation coefficient) are all derived theoretically from a normal distribution. Reflect and squ...

3

Useful Tips on Data Analysis: SOURCES FOR LEARNING SPSS ON THE INTERNET

http://ksa-stat.blogspot.com/2010/02/sources-for-learning-spss-on-internet.html

Useful Tips on Data Analysis. Tuesday, February 23, 2010. SOURCES FOR LEARNING SPSS ON THE INTERNET. Getting Started with SPSS for Windows. Review: Deals with basic topics such as Descriptive Statistics, T-test, one-way ANOVA, Simple Linear Regression and Correlation Analysis. Valparaiso University, Indiana. Using SPSS to Understand Research and Data Analysis. North Carolina State University. University of California, Los Angeles. Resources to Help You Learn and Use SPSS. SPSS for Windows Tutorials.

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Useful Tips on Data Analysis: LEVEL OF MEASUREMENT

http://ksa-stat.blogspot.com/2010/04/knowledge-about-level-of-measurement.html

Useful Tips on Data Analysis. Thursday, April 1, 2010. Knowledge about the level of measurement helps not only in interpreting the data but also in selecting the appropriate statistical procedures to analyze the data. The four different levels of measurement, in ascending order of accuracy, are:. Nominal data has no order and the use of numbers to classify categories is arbitrary. Example: 1=Honda, 2=Toyota, 3=Nissan, etc. can be used to classify different Japanese car make. Ratio data are interval data ...

5

Useful Tips on Data Analysis: April 2010

http://ksa-stat.blogspot.com/2010_04_01_archive.html

Useful Tips on Data Analysis. Thursday, April 1, 2010. Knowledge about the level of measurement helps not only in interpreting the data but also in selecting the appropriate statistical procedures to analyze the data. The four different levels of measurement, in ascending order of accuracy, are:. Nominal data has no order and the use of numbers to classify categories is arbitrary. Example: 1=Honda, 2=Toyota, 3=Nissan, etc. can be used to classify different Japanese car make. Ratio data are interval data ...

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ksa-stat.blogspot.com

Useful Tips on Data Analysis

Useful Tips on Data Analysis. Thursday, April 1, 2010. Knowledge about the level of measurement helps not only in interpreting the data but also in selecting the appropriate statistical procedures to analyze the data. The four different levels of measurement, in ascending order of accuracy, are:. Nominal data has no order and the use of numbers to classify categories is arbitrary. Example: 1=Honda, 2=Toyota, 3=Nissan, etc. can be used to classify different Japanese car make. Ratio data are interval data ...

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