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Running heading: QUANTITATIVE DATA COLLECTION Quantitative Data Collection Brendan N. Ford Trident University International 25 Mar 2017 1 QUANTITATIVE DATA COLLECTION 2 Quantitative Data Collection

Running heading: QUANTITATIVE DATA COLLECTION Quantitative Data Collection Brendan N. Ford Trident University International 25 Mar 2017 1 QUANTITATIVE DATA COLLECTION 2 Quantitative Data Collection Quantitative data is numeric data collected in the field for analysis to come up with information (Cuesta, 2013). There are different methods through which data is collected. In the study concerning the module, primary data is collected on the cooking hours in a day. The data will be recorded weekly in a spreadsheet that will be used for analysis. I cook for a family of five. I use different cooking routines for the weekdays as well as the weekends. During the weekdays, I cook two meals which are the breakfast and the dinner. During the weekends, I cook the breakfast, lunch, and dinner. It takes 15 minutes to cook the breakfast and one hour cooking the dinner during the week days. During the weekends, it takes one hour cooking each of the meals. The dependent and the independent variable are used in determining if there exist relationships among data (Bernstein & Bernstein, 2011). In this case, there is regression analysis is used in finding out the relationship between variables. Both dependent and independent variables are critical elements in selecting the data. In the relationship analysis, a confusion of the two results to poor results. The dependent variable in the case study is the time taken to cook the meals. On the other hand, the number of meals is the independent variable. The statement can be expressed as the time it takes to cook meals each day depends on the number of the meals it takes. Skew is any alteration in the data collected from the field. There are different factors that can result to the skewness of the data. Visitors in the family will result to changes in time spent in cooking the meals. It is expected from the data that an increase in the family member will result in a decrease in the cooking time as the amount of food cooked will be little. Therefore, the number of the family members forms another independent variable that can be investigated in the study. Also, a reduction in the family member might result in a reduction in the cooking time. QUANTITATIVE DATA COLLECTION 3 The data collection period will be done for four weeks. During the weeks, the data will be recorded and makes a total of 28days of data collection. Observation is the method of data collection that will be employed. In this case, a timer will be set at the beginning of every cooking activity and stopped when the cooking gas goes off to mean that cooking is over. The final results will be recorded each and every day. Dates will be written alongside the cooking hours. The number of the visitors or a family member leaving the house will be recorded in the spreadsheet. After the 28 days of data collection, the analysis will be done. The data will be valid as the sample size is large and precise conclusions are achieved on larger sample sizes. Date 13 March 14 March 15 March 16 March 17 March 18 March 19 March 20 March 21 March 22 March Meal(s) 2 2 2 2 2 3 3 2 2 2 Time (hours) .50 1 .50 1 .50 2 2 1 1 1 No. of Family Mbrs 2 2 3 4 2 5 5 5 3 1 QUANTITATIVE DATA COLLECTION 4 References Bernstein, S., & Bernstein, R. (2011). Elements of statistics II : inferential statistics. New York: McGraw Hill Professional. Cuesta, H. (2013). Practical data analysis. Birmingham: Packt Publishing

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