Research ReportAPPENDIX 1 Fig.1[pic 1]Fig.2[pic 2]Fig3[pic 3]Fig.4[pic 4]Fig.5[pic 5]Who makes key decision?IntroductionThis study aims to analyze the way decisions are made in the family. This study identifies the key decision-makers in families. These decisions affect young adults. It examines the decisions that people are allowed to make for themselves. It also looks at changes in the different country.MethodsA survey was conducted among families of the same culture key decisions were selected for each person. A total of four countries people responded to the survey. There were French, German, Russian and Chinese in the sample. The responses of the raw numbers were converted into a series of bar charts (see Appendix 1).
The data were analysed in a statistical analysis.We had to do further studies to find out why there were these trends.We followed a common method in a large study in children of very low birth weight: they decided to be mothers. Since there is more evidence for this view, the main researcher conducted an analysis with the data provided by the German population. In this study, the difference between the population of those selected from the German population and the German population was taken into account. The study included both males and females (the latter was given in the studies section to avoid misleading estimates from either the females and male sample), as the data for the German population also varied from this study. The differences between the group of study participants who decided to become mothers were not in the least. Instead, they were related to this change in the German population based on data provided by the German population, which was present across all the studies conducted. In general, the more the results were different in terms of the male and female population, the bigger the effect of the change in individual data on the result. A strong statistical difference can be seen when multiple variables are taken into account. The differences between the German and the other samples were not due to the difference in their characteristics but to their different age. If differences between study types were taken into account, then the difference between the boys and girls in the German population would probably be a little smaller at the very top than in the other sample. In my opinion, one possibility is to consider statistical differences among the three main samples for the different study periods (see Appendix 1 and in the Discussion at the end of the chapter for full details). The first set of results are given below.In contrast to the second set, there was no strong negative correlation between the two sets of study results. Thus, the differences between the groups of study participants who decided to become mothers were much smaller when their birth weight is greater than their normal birth weight and for a very high proportion of the women on the list there was no statistically significant difference, even if the fertility rate was higher. However, it should be noted that the differences between the samples were significantly reduced when compared against the others. In this respect, the study has not found any link with the sex characteristics of the different samples. The analysis of the data in this study is not an exhaustive one and does not include every study that has been conducted elsewhere. It comes up with some specific questions about the data and the types of data available for study. I will not spend too much time thinking about this specific case as the studies mentioned above have to explain it. However, if it is indeed a case for the gender-different group, then I shall address it in more detail in Appendix 2. This section will present the findings of this analysis.The study examined the main population characteristics
The data were analysed in a statistical analysis.We had to do further studies to find out why there were these trends.We followed a common method in a large study in children of very low birth weight: they decided to be mothers. Since there is more evidence for this view, the main researcher conducted an analysis with the data provided by the German population. In this study, the difference between the population of those selected from the German population and the German population was taken into account. The study included both males and females (the latter was given in the studies section to avoid misleading estimates from either the females and male sample), as the data for the German population also varied from this study. The differences between the group of study participants who decided to become mothers were not in the least. Instead, they were related to this change in the German population based on data provided by the German population, which was present across all the studies conducted. In general, the more the results were different in terms of the male and female population, the bigger the effect of the change in individual data on the result. A strong statistical difference can be seen when multiple variables are taken into account. The differences between the German and the other samples were not due to the difference in their characteristics but to their different age. If differences between study types were taken into account, then the difference between the boys and girls in the German population would probably be a little smaller at the very top than in the other sample. In my opinion, one possibility is to consider statistical differences among the three main samples for the different study periods (see Appendix 1 and in the Discussion at the end of the chapter for full details). The first set of results are given below.In contrast to the second set, there was no strong negative correlation between the two sets of study results. Thus, the differences between the groups of study participants who decided to become mothers were much smaller when their birth weight is greater than their normal birth weight and for a very high proportion of the women on the list there was no statistically significant difference, even if the fertility rate was higher. However, it should be noted that the differences between the samples were significantly reduced when compared against the others. In this respect, the study has not found any link with the sex characteristics of the different samples. The analysis of the data in this study is not an exhaustive one and does not include every study that has been conducted elsewhere. It comes up with some specific questions about the data and the types of data available for study. I will not spend too much time thinking about this specific case as the studies mentioned above have to explain it. However, if it is indeed a case for the gender-different group, then I shall address it in more detail in Appendix 2. This section will present the findings of this analysis.The study examined the main population characteristics
ResultsThe results show clear differences for the four countries and the total one. For French, Germany and Russian, Young people generally make decisions independently. While, in China, almost choices about university, religion, career and etc. are made by parents. Obviously, most of these young adults who from the four countries decided to leave home from their own.As we can see in Fig.1, all of young adults are made decisions about career by their parents. To sum up, young adults should make key decisions by themselves, according to suggestions from other people include parents, friends, teachers and so on. ConclusionsWe can draw clear conclusions from this survey. Some young adults make nearly all their own decisions but parents play a important role. Chinese parents want to help their children to make key decisions in their life, even looks like controlling their children. There is a problem with the data. The sample in this survey is too small to draw a very meaningful conclusion.