Project One 8) The variables that were given to me include specific foundation brands (Maybelline, Covergirl, Bare Minerals, etc.,) and the cost of each individual foundation. The qualitative variable in this set was the foundation brand, since they are an attribute rather than a number. The quantitative variable was the cost of each individual foundation, since that variable is a number doing a number's job.
9) The level of measurement for the quantitative variable is ratio. Since the cost of foundation is a number and not a characteristic or attribute, that rules nominal and ordinal out of the options. Since the natural starting point for the cost of foundation is zero, that rules out interval. Thus, the only option that makes sense is ratio.
10) The level of measurement for the qualitative variable is nominal. The brands of foundation are qualitative, so ratio and interval are automatically ruled out. Since …show more content…
I chose discrete because you can count out the number of dollars that the foundation costs, and it does not go on forever. It also does not have any decimals, it is a whole number. The cost of foundation is discrete.
12) The mean of my data set was approximately 14.82. This means that the average cost of the foundations in the data set is $14.82. In my opinion, this is pretty pricey for foundation.
13) The median for my data set is 11. This means in the context of my data that $11 is the middle value of the costs of foundation. This is another way of calculating what the average of foundations cost as well. As you can see, the prices between the median and the mean differ slightly. Since the prices of foundations are not extreme values, I would say that the mean would be my preferred method to find the average of the data.
14) The standard deviation was 8.33. This means that the foundations had a miss of the mean by approximately $8.33. Most foundations were either below or above $14.82 by about
9) The level of measurement for the quantitative variable is ratio. Since the cost of foundation is a number and not a characteristic or attribute, that rules nominal and ordinal out of the options. Since the natural starting point for the cost of foundation is zero, that rules out interval. Thus, the only option that makes sense is ratio.
10) The level of measurement for the qualitative variable is nominal. The brands of foundation are qualitative, so ratio and interval are automatically ruled out. Since …show more content…
I chose discrete because you can count out the number of dollars that the foundation costs, and it does not go on forever. It also does not have any decimals, it is a whole number. The cost of foundation is discrete.
12) The mean of my data set was approximately 14.82. This means that the average cost of the foundations in the data set is $14.82. In my opinion, this is pretty pricey for foundation.
13) The median for my data set is 11. This means in the context of my data that $11 is the middle value of the costs of foundation. This is another way of calculating what the average of foundations cost as well. As you can see, the prices between the median and the mean differ slightly. Since the prices of foundations are not extreme values, I would say that the mean would be my preferred method to find the average of the data.
14) The standard deviation was 8.33. This means that the foundations had a miss of the mean by approximately $8.33. Most foundations were either below or above $14.82 by about