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List of my Sample Projects involving Inferential Analysis.
Click on Project Name to View the Project.
- Regression Analysis on Car Variables and its Mileage. In this report we look into a collection of cars and explored on the relationship between a set of variables and miles per gallon as the the outcome. Inferential analysis show that manual (24.39) is better compared to automatic (17.15) in terms of mpg. However, results of the regression analysis using the best model show that when significant predictors such as cylinder(cyl), horsepower(hp) and weight(wt) are included in the model, the type of transmission seems to be insignificant (p > 0.05) even though shifting from auto to manual increases mpg by 1.81.
- Exploring the Probable Predictors of Hospital Stay: The results on the recent satisfaction survey of the clients show that many had concerns on the length of hospital stay and claim that such is attributed by the documentation processing prior to discharge. Further investigation is conducted with random collection of data from a computed sample size. The goal of the analysis is to confirm whether documentation processing (or any other variables) contribute much to the length of hospital stay (in minutes).
- Comparison of Weight, Leaf Length, and Stalk Length: This Inferential Analysis involves comparison using Student's t-test and Welch t-test for Inferential Analysis. The research group is conducting an experimental study to check whether there is a significant difference between the control and treatment group in the weight (lbs), leaf length (mm), and stalk length (ft) post test measures. Samples for each group were determined via sample size estimation using power and mean, and randomization is considered in the assignment of groups.
- Comparison of Post Test Student Ratings between Control and Treatment Group: This Inferential Analysis involves the comparison of post test student ratings between Control and Treatment Group using Wilcoxon Rank Sum and Wilcoxon Signed Rank Exact Test. A research team is doing an experiment to assess whether there is a significant difference between the control and treatment group in the post test ratings of the students. The number of participants for each group were determined via sample size estimation using power and mean, and randomization is considered in the assignment of groups.
- Comparison of User Ratings between Traditional and New System Setup: >The company is planning to replace the traditional setup with a new system. Prior to the decision, a team has been formed to assess whether such move will lead to a marked improvement in user satisfaction ratings. The team will assess whether there is a significant difference between the control and treatment group in the post test ratings of the users. The number of users for each group were determined via sample size estimation using power and mean, and randomization is considered in the assignment of groups.
- Comparing Extent of Student Engagement across Different Academic Programs: A comparison on the extent of student engagement is to be conducted to check whether interventions would be needed to entice students to participate in school activities. The team randomly sampled students (proportional allocation) from the four Academic Programs offered by the school and met the desired sample size computed via Modified Cochran.