¶ … collects sample data from 2001 households across the United States to evaluate the attributes of the participants. The total number of 50 variables are used to identify the data attributes, however, three discrete variables and three continuous variables are selected to evaluate the relationships. The selected discrete variables are Number of Children, Number of cars and Mail Buyer. However, the selected continuous variables are Athletic Dimension, Length of residence, and Wealth Rating. The data analysis is carried out using the descriptive statistics to summarize the data in a manageable form using the Mean, mode and median to compare the discrete and continuous variables. The results of the analysis reveal that all the data of the discrete variables are complete, however, the data of the variables Lengthofresidence and Athleticdimension are missing affecting the validity of the data. The bar graph is also used to provide the visual presentation of the data. The t-test and chi-square are also used for the analysis to establish a statistically significant level of the discrete and continuous variables. However, the results of the variables Athletic Dimension and Length of residence are missing in the output of the t-test which affects the validity and reliability of the research findings.
Data and Methodology
The study collects data from 2,001 households from various states in the United States. Some of the data collected from the sample population include Number of Cars, Number of Children, and Mail Buyer pattern of selected households. Other data collected are the Length of Residence, Athletic Dimension and Wealth Rating. The data collected from the sample population are also their income level, wealth score, occupation, marital status, the number of children, and online purchasing habit. In the data collected, 50 variables are used to present the attributed of the data.
The study uses quantitative techniques to collect data using the survey method. The selected data for the analysis...
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