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. Bar Graph of Highest Degree Frequency table of highest level of school or highest degree Highest level of school or highest degree Less than high school degree High school degree or equivalent (e.g., GED) Some college but no degree Associate degree Bachelor degree Graduate degree Total Frequency Percent 8 15.38% 3 5.77% 11 21.15% 9 17.31% 11 21.15% 10 19.23% 52 100.00% 12 10 8 6 4 2 0 Freque ncy Highest School Pie Chart of Highest Degree 10; 19% 8; 15% 3; 6% 11; 21% 11; 21% 9; 17% Less than high school degree High school degree or equivalent (e.g., GED) Some college but no degree Associate degree Bachelor degree Graduate degree Frequency table of Number of Children Number of Children Frequency 0 1 2 3 4 More than 4 Total Percent 5 17 15 10 3 2 52 9.62% 32.69% 28.85% 19.23% 5.77% 3.85% 100.00% Bar Graph of Number of Children 18 16 14 12 10 Frequency 8 6 4 2 0 Frequency Distribution of Number of Children Class Intervals Frequency Percent 0-1 22 42.31% 2-3 25 48.08% 4 or more 5 9.62% Total 52 100.00% 0 1 2 3 More than 4 Number of Children Pie Chart of Number of Children 0 1 2 3 4 More than 4 3; 6% 2; 4% 5; 10% 10; 19% 17; 33% Frequency Distribution of Number of Children Class Intervals Frequency Percent 0 0 0-1 22 42.31% 2-3 25 48.08% 4 or more 5 9.62% Total 52 100.00% 4 15; 29% Frequency Polygon of of Number of Children 30 25 20 Frequency 15 10 5 0 0 0-1 2-3 Class Interval 4 or more GRAND CANYON \"am" \"a\"? UNIVERSITV' FED|I,IOI6 CALENDAR Apply Rubrlcs SYM-E (SYM-mb-CHD) Applied Bu... RESOURCES COURSE MATERIAL CON N [CT ANNOUNCEMENTS 100.0 36 Content 25.0 55 Mean, median, and Mean, Median, and mode are not Mode included. Variance for each set of data for each ofthe variables is not included. 25.0 56 Standard deviation Standard Deviation for each variable is not included. Probability that each event occurs in each ofthe two variables is not included. Mean, median, and mode are incomplete or incorrect. Variance for each set of data for each ofthe variables is incomplete or incorrect. Standard deviation for each variable is incomplete or incorrect. Probability that each event occurs in each ofthe two variables is incomplete or incorrect. Mean, median, and mode are included but lack detail. Variance for each set of data for each ofthe variables is included but lacks relevant details. Standard deviation for each variable is included but lacks relevant details. Probability that each event occurs in each ofthe two variables is included but lacks relevant details. 4'59'11 PM MST Mean, median, and mode are complete and include relevant details. Variance for each set of data for each ofthe variables is complete and includes relevant details. Standard deviation for each variable is complete and includes relevant details. Probability that each event occurs in each ofthe two variables is complete and includes relevant Mean, median, and mode are complete and include extensive details. Variance for each set of data for each of the variables is expertly constructed. Standard deviation for each variable is expertly constructed. Probability that each event occurs in each ofthe two variables is expertly constructed. (9 12 10 8 6 4 2 0 Frequency table of highest level of school or highest degree Highest level of school or highest degree Less than high school degree High school degree or equivalent (e.g., GED) Some college but no degree Associate degree Bachelor degree Graduate degree Total Frequency Percent 8 15.38% 3 5.77% 11 21.15% 9 17.31% 11 21.15% 10 19.23% 52 100.00% Frequency Highest School 10; 19% 8; 15% 3; 6% 11; 21% 11; 21% 9; 17% Less than high school degree High school degree or equivalent (e.g., GED) Some college but no degree Associate degree Bachelor degree Graduate degree 18 Frequency table of Number of Children Number of Children Frequency 0 1 2 3 4 More than 4 Total 16 Percent 5 17 15 10 3 2 52 9.62% 32.69% 28.85% 19.23% 5.77% 3.85% 100.00% 14 12 10 Frequency 8 6 4 2 0 Frequency Distribution of Number of Children Class Intervals Frequency Percent 0-1 22 42.31% 2-3 25 48.08% 4 or more 5 9.62% Total 52 100.00% 0 1 2 3 More than 4 Number of Children 3; 6% 2; 4% 5; 10% 0 1 2 3 4 More than 4 10; 19% 17; 33% Frequency Distribution of Number of Children Class Intervals Frequency Percent 0 0 0-1 22 42.31% 2-3 25 48.08% 4 or more 5 9.62% Total 52 100.00% 4 15; 29% 30 25 20 Frequency 15 10 5 0 0 0-1 2-3 Class Interval 4 or more Number of Children Frequency 0 1 2 3 4 5 17 15 10 3 2 52 probability of mode = 1 child 5/52 = 0.0962 17/52 = 0.3269 2 Children= More than 4 Total 0 children = 15/52= 0.2885 3 Children = 10/52= 0.1923 4 Children= 3/52= 0.0577 median = 2 children It is impossible to determine the mean variance and standard deviation 1 child= more than 4 children = 2/52= 0.0385 Highest level of school or highest degree Frequency Less than high school degree High school degree or equivalent (e.g., GED) Some college but no degree Associate degree Bachelor degree Graduate degree Total 8 3 11 9 11 10 52 mode = Median class = 8/52 = 3/52= 11/52= 9/52= 11/52= 10/52= Associate degree It is impossible to determine the mean variance and standard deviation si PROBABILITY OF Less than high school degree = High school degree or equivalent (e.g., GED) = Some college but no degree= Associate degree= Bachelor degree= Graduate degree= bimodal: Bachelors degree and Some college but no 15.38% 5.77% 21.15% 17.31% 21.15% 19.23% lege but no degree deviation since the variable is nominal in nature