1. Are the variables qualitative or quantitative? (3 pts)
   1. Gender:
   2. Age (in years):
   3. Cancer Type:
   4. Pathologic Tumor Size (cm):
   5. Pathological Tumor Size (Categories):
   6. Time (Survival Time in Months):

1. Look at the following variables and list their levels of measurement: (3 pts)
   1. Gender:
   2. Age (in years):
   3. Cancer Type:
   4. Pathologic Tumor Size (cm):
   5. Pathological Tumor Size (Categories):
   6. Time (Survival Time in Months):

1. What is the cumulative percentage of just the Cancer Categories: Kidney, Lung, and Other Cancers? (2pts) (using countif)

1. What type of coding is used for the following variables? (3 pts)
   1. CTRMT: Conventional Treatment:
   2. Cause of Death:
   3. Gender:

1. Describe which statistical analysis should be used for the following variables: (Frequency analysis or Measures of Central Tendency/ Measures of Variability) (6 pts)
   1. Gender:
   2. Age (in years):
   3. Cancer Type:
   4. Pathologic Tumor Size (cm):
   5. Pathological Tumor Size (Categories):
   6. Time (Survival Time in Months):

1. Run descriptive statistics (frequency) on nominal and quantitative ordinal variables in Question 5. Place your work on the appropriate sheet. (3 pts)
   1. Run the appropriate graphs. (3 pts):
   2. Interpret the results herenot in the workbook.Graduate-level writing is required. (3 pts)

1. Run descriptive statistics on all interval and ratio variables in Question 5. Place your work on the appropriate sheet. Histograms are not required for Excel (3 pts)
   1. Interpret the results herenot in the workbook.Graduate-level writing is required. (3pts)

1. Run descriptive analysis (2 pts) andz-Scores (2 pts) on Pathologic Tumor Size and Time. Use data set in Assignment 2 Workbook.xls, and two sheets labeled "z-Scores."(Path Size and Time)
   1. How many patients were one standard deviation above the mean or more for Time? (2 pts)
   2. How many patients were one standard deviation above the mean or more for Tumor Size? (2 pts)
   3. Reference: Statistics for People Who (Think They) Hate StatisticsNeil J. Salkind; Bruce B. Frey