The locations (Factor A) have three levels, which are downtown Phoenix, North Scottsdale, and Glendale. The customers (Factor B) have two levels, which are cantina customers and restaurant customers. There are a total of six treatment groups or cells, because there are three levels in Factor A and two levels in Factor B (3 * 2 = 6). The six treatment groups or cells are the cantina customers at the downtown Phoenix, North Scottsdale, and Glendale locations and the restaurant customers at the downtown Phoenix, North Scottsdale, and Glendale locations. We do not have the exact number of observations for the two-way ANOVA, but it would be wise to start out with five observations per treatment group or cell. The cantina customers would have five observations per location and the restaurant customers would have five observations per location for a total of 30 observations. The two-way ANOVA gives us the unique ability to compare the locations to the customer types and the customer types to the locations. We would be testing to see if the average customer ratings between the two customer types differ among the three locations. Also, we would be testing to see if the
The locations (Factor A) have three levels, which are downtown Phoenix, North Scottsdale, and Glendale. The customers (Factor B) have two levels, which are cantina customers and restaurant customers. There are a total of six treatment groups or cells, because there are three levels in Factor A and two levels in Factor B (3 * 2 = 6). The six treatment groups or cells are the cantina customers at the downtown Phoenix, North Scottsdale, and Glendale locations and the restaurant customers at the downtown Phoenix, North Scottsdale, and Glendale locations. We do not have the exact number of observations for the two-way ANOVA, but it would be wise to start out with five observations per treatment group or cell. The cantina customers would have five observations per location and the restaurant customers would have five observations per location for a total of 30 observations. The two-way ANOVA gives us the unique ability to compare the locations to the customer types and the customer types to the locations. We would be testing to see if the average customer ratings between the two customer types differ among the three locations. Also, we would be testing to see if the