Examples Example 1. A company that manufactures light bulbs claims that a particular type of light bulb will last 850 hours on average with standard deviation of 50. A consumer…
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Power Analysis for Two-group Independent sample t-test | R Data Analysis Examples
Examples Example 1. A clinical dietician wants to compare two different diets, A and B, for diabetic patients. She hypothesizes that diet A (Group 1) will be better than diet…
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Power Analysis for Paired Sample t-test | R Data Analysis Examples
Examples Example 1. A company markets an eight week long weight loss program and claims that at the end of the program on average a participant will have lost 5…
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Zero-Inflated Negative Binomial Regression | R Data Analysis Examples
Zero-inflated negative binomial regression is for modeling count variables with excessive zeros and it is usually for over-dispersed count outcome variables. Furthermore, theory suggests that the excess zeros are generated…
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Zero-Inflated Poisson Regression | R Data Analysis Examples
Zero-inflated Poisson regression is used to model count data that has an excess of zero counts. Further, theory suggests that the excess zeros are generated by a separate process from…
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Zero-Truncated Negative Binomial | R Data Analysis Examples
Zero-truncated negative binomial regression is used to model count data for which the value zero cannot occur and for which over dispersion exists. This page uses the following packages. Make…
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Zero-Truncated Poisson | R Data Analysis Examples
Zero-truncated poisson regression is used to model count data for which the value zero cannot occur. This page uses the following packages. Make sure that you can load them before…
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Applied Survival Analysis, Chapter 5 | R Textbook Examples
The R package(s) needed for this chapter is the survival package. We currently use R 2.0.1 patched version. You may want to make sure that packages on your local machine…
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Latent Class Scaling Analysis by C. Mitchell Dayton | Mplus Textbook Examples
Table 3.2 on page 28 using pleural thickening data. In general, the AIC and BIC displayed in the book is the difference between the AIC for the specific model and…
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Exploratory and Confirmatory Factor Analysis: Understanding Concepts and Applications by Bruce Thompson | Mplus Textbook Examples
The data are shown on pages 163-167. Please note that a subset of the data is used for some examples. Some of the output has been omitted to save space….
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