Overview
Statistics
1. For your initial post, describe an actual/hypothetical example and explain why a researcher would do at least one of the following (300 words):
A researcher deletes a case with missing data.
A researcher uses an imputation method for a case with missing data.
A researcher deletes an observation that is identified as an outlier.
A researcher includes all observations that are identified as outliers.
2. For your initial post, respond to at least 1 of the following 2 questions (300 words):
What are the differences between the objectives of data summarization and data reduction?
What are the basic stages in the application of cluster analysis?
3. For your initial post, respond to at least 1 of the following 2 questions (300 words):
Could you find a regression equation that would be acceptable as statistically significant and yet offer no acceptable interpretational value to management?
Describe some data analysis situations in which MANOVA and MANCOVA would be appropriate in your areas of interest. What types of uncontrolled variables or covariates might be operating in each of these situations?
4. For your initial post, respond to at least 1 of the following 3 questions (300 Words):
How would you differentiate between multiple discriminant analysis, regression analysis, logistic regression analysis and analysis of variance?
When would you employ logistic regression rather than discriminant analysis (list advantages and disadvantages of the decision)?
To what extent does the Christian faith affect and/or relate to the study of applied statistics?