Topic of the study: I am going to evaluate the relationship between the level of schooling attended by various persons and their children. I have utilised both the quantitative and qualitative variable in my research method. Here the qualitative variable is level of schooling attended by various persons and the quantitative variable is their number of children. It is a general notion that the people with the low level of schooling tends to have more children as compared to people having higher level of education. I have collected the sample survey of 52 respondents. Survey Method: I have used the data collection method of Survey Monkey in which I asked the respondents two questions with various choices as follows. According to the response generated the data analysed by the Survey Monkey is shown below. Analysis of the Survey Monkey Data: From the first data as it may biasness of the data as low level of education may not know the usage of internet properly, therefore their responses are low level of education. From the graph of the level of education the highest percentage of schooling is that of some college but not degree and bachelor degree. It clearly reflects that the more internet user are the educated people. The percentage of the number of respondents are shown in the table. Thus it is a measure of qualitative data where the quality (level of education) is taken to demonstrate the relationship. In the second graph it is a qualitative data as it shows the number of children. From the above graph, maximum people has either 2 children or 1 children. Also there are some people with no children. It might happen that they are just newly married. Moreover the people who has more than 4 children is 3.85% meaning most of the people do not prefer to have more than 4 children. Combining both these graph as the number of respondents of the bachelor degree and some college it becomes clear that with the level of education the people prefer to have fewer children. So low level of education is the major cause of the population rise due to ignorance about the benefit of the small population. Applying the concept to the whole population we can consider the country like India with a population of about 1.21 billion, the education level is lower so people are ignorant of the benefit of having small family. GRAND CANYON UNIVERSITV' CALENDAR Apply Rubrr'cs Creating a Data Set Martin Fraley Feb be, 2m 1 Unsatisfactory 0.00% SYMVEAD (SYMrEACIEJ) Applied Bu... RESOURCES 2 Less than Satisfactory 74.00% CONNECT 3 Satisfactory 79.00% ANNOUNCEMENTS 100.0 K Content 25.0 56 Frequency Tables 25.0 it: Bar Graph and Pie Chart 25.0 76 Cla Intervals and Frequency Distribution 25.0 56 Frequency Polygon Freq ue ncy tables are not included. Bar graph and pie chart are not included. Class intervals and frequency distribution are not included. Freq ue ncy polygon is not included. Frequency tables are incomplete or incorrect. Bar graph and pie chart are incomplete or incorrect. Class intelvals and frequency distn'bution are incomplete or incorrect. Frequency polygon is incomplete or Frequency tables are included but lack detail. Bar graph and pie chart are included but lack relevant details. Class intelvals and frequency distribution are included but lack relevant details. Frequency polygon is included but 3-35-15 PM MST Frequency tables are complete and include relevant details. Bar graph and pie chart are complete and include relevant details. Class intelvals and frequency distribution are complete and include relevant details. Frequency polygon is complete and Frequency tables are clearly explained and include extensive details. Bar graph and pie chart are expertly constructed. Class intelvals and frequency distribution are expeltly constructed. Frequency polygon is expertly