Assignment

A. We have a dataset of marks given to the post graduate students (of non-engg. and engg. orientation) for a project review by different faculty members of a design department of an institute.
From your analysis of the dataset, do you find any statistically significant difference between the marks given by different faculty to the students? What would you comment on the marks received by the students of engg. vs. non-engg. orientation? Is there any difference between the marks given by faculty to engg. vs. non-engg. students?
Can you compare two faculty members at a time to find out for which faculty members you find statistically significant differences in grading the students? Please also compute the Power (probability of avoiding a Type II error) of any of these comparisons and find out the sample size for which the Power >= 90%.
Please share any other insights that you have for this analysis. What could be other unknown factors, if any, if considered could have made the analysis more meaningful?
Please visualize this data using box plots or other means. Please show the calculations/ upload the code and/or the ANOVA tables involved.
B. Can you think of other real world applications of the Statistical Methods learnt in the class? Please outline any five of them.

Deadline

Assignment due on 30th November 2020.