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Refer to the Prostate cancer data set in Appendix C.5 and Case Study 16.49. Carr " one-way analysis of covariance of this data set, where the response of interest is PS out a (variable 2), the single factor is Gleason score (variable 9), and the possible covariates level cancer volume (variable 3) and weight (variable 4), The analysis should consider transfers ions of the response variable and the covariates. Document step~ taken in your analysis and justify your cone conclusions.
Case Study 16.49
Refer to the Prostate cancer data set in Appendix C.5. Carry out a one-way analysis of variance of this data set, where the response of interest is PSA level (variable 2) and the single factor is Gleason score (variable 9). The analysis should consider transformations of the response variable. Document steps taken in your analysis, and justify your conclusions.
Appendix C.5
A university medical center urology group was interested in the association between prostate-specific antigen (PSA) and a number of prognostic clinical measurements in men with advanced prostate cancer. Data were collected on 97 men who were about to undergo radical prostectomies. Each line of the data set has an identification number and provides information on 8 other variables for each person. The 9 variables are:
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Caselet on McDonald’s vs. Burger King - Waiting time
Generate descriptive statistics. Create a stem-and-leaf plot of the data and box plot of the data.
Problems on Sampling Variability and Standard Error and Confidence Intervals
Estimate the population mean
Conduct a marketing experiment in which students are to taste one of two different brands of soft drink
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