Introduction (State and Plan) As a group of young adults, we are interested in the correlation of a person’s age and their total family income. We chose these variables because we want to learn if the general assumption of total family income increases as a person ages is true. Especially since most people tend to get promotions in their respective career fields over time leading to an increase in wages or get married leading to a general increase in total family income. In order to study these variables, a statistical analysis of age and total family income is needed. For this we will compare the two quantitative discrete variables, total family income and age, from the Current Population Survey (CPS) data set using histograms, a …show more content…
This means the data was statistically significant and we can reject the null hypothesis. The alternative hypothesis states that as an individual ages after the age of 18, their total family income will increase. A two way table test for homogeneity for a characteristic distribution was performed to analyze the data which included two populations, 18-45 and 45-96 age groups. Individuals between the ages of 45-96 have a higher total family income in the income brackets of $0-$60,000 and $60,000-$250,000. However, a Type I Error may have occurred where the null hypothesis was rejected, but in fact was true. This means that individuals between the ages of 18-45 do have a total family income greater than or equal to the individuals between the ages of 45-96. A consequence of this this error could be that individuals between the ages of 18-45 going to jail for tax fraud. A Type II Error on the other hand, would mean that we failed to reject the null hypothesis when the null hypothesis is in fact false. This means that individual's total family income between the ages of 18-45 is not greater than or equal to the total family income of individuals between the ages of 45-96. A consequence of this could be the government believing that individuals in the 18-45 age range make more money than what they actually do thus failing to allot the necessary financial and government
The quantitative subjective data is collated and organised into forms of a line graph, table values, and the calculation of mean and median data to determine if there’s any form of deviation of data. This will prove if there’s a linear or non-linear relationship between the data and test if there’s any similarities between the data values and/or the overall skew of the graphs. The outliers will be also added onto these graphs and will be compared towards each other recognising if there is a similarity or contrast in data and in relationships between both of the data. This will determine if the hypothesis of “family size has an
Shining the OutRiderr Spotlight on a Washington Post article from May 19th By John Woodrow Cox, Scott Clement and Theresa Vargas.
(Keister 2004). By only focusing on the longitudinal survey, the NLS-Y sample includes 12,686 individuals, ages fourteen to twenty-two. In her data results, she finds that most Hispanic and Black youths tend to be the ones who live in extended families and are disproportionally affected by family disruptions, thus subsidizing less in adult wealth (Keister 2004). In regards to the longitudinal survey, she emphasizes that the NLS-Y is an ideal source to answer any questions regarding family background and adult wealth. With detailed information about wealth holdings, family background, life transitions and adulthood (Keister 2004), she emphasizes that the NLS-Y data are consistent and has been successfully used to estimate family processes leading to adult
I started off by gathering research for the demographic factors that would be easy to find for both cities by looking at the US Census database as well as the American Community Survey database. I was able to get through this process fairly quickly because the US Census publishes ‘quick facts’ about each city and I was able to do a side by side comparison between San Jose, CA and St. Louis, MO. After filling out the main demographics, it was time to fill the table with health prevalence rates, number of uninsured people, food insecurity and etc. I was able to find a lot of the health rankings through BRFSS. CDC and County Health Rankings (refer to table for specific information). I used County Health Rankings in the case where I wasn’t able
How Can These Challenges Be Addressed. The changing of disability rates, the size of the economy and efforts at privatization may affect how much of an economic burden these programs will impose in the future. As a result, household financial wealth in the world's major economies will be roughly $31 trillion lower in 20 years than it would have been if historical demographic trends had persisted. Raising the retirement age, easing restrictions on immigration, encouraging families to have more children, and achieving faster economic growth will have little impact on this shortfall. To fill it, households and governments will have to increase their savings rates and national economies will have to allocate capital more efficiently, thereby boosting returns (Farrell, 2005).
Moffitt R. (2015). The Deserving Poor, the Family, and the U.S. Welfare System. Population Assistance of America
A student’s cohort membership can affect his or her readiness for school by having to deal with the new changes they will have. If a student comes from a cohort in which Internet use was routine, they would depend on the Internet for everything like homework, social media, etc. Nowadays, students from high school already start using chromebooks to do their assignments and their textbooks are now in the digital form. Even some students from middle school and elementary use electronic devices to learn. To have new technology and changes every year or so always has its own benefits and its own drawbacks.
Contemporary drug policy within the UK has altered its general assumption and has now been moulded by the idea that drug compulsion is a key influential cause to the upcoming and general rising crime rate. The literature review demonstrates that whilst empirical data clearly backs a connection among drugs and crime, the usage of drugs is one part of an intricate process contributing to criminal behaviour. Moreover, this study validates its primary weakness as it proclaims the supposed ‘drug consumption leads to lawbreaking’ under the economic cause and effect model which also disregards the origin question of causation.
Pekin Illinois is a relatively small community located in Central Illinois half way between St. Louis and Chicago. It boasted a total community population of 33857 during the last census period of 2008. The total population consisted of roughly a 50/50 male to female ratio with a median age of 37.1 and represented 94.4% Caucasian, 2.4% African American, 1.9% Hispanic and 1.1% Asian races. Due to this population mix many of the culturally and racially indicated diseases states, such as type 2 diabetes, cerebrovascular and peripheral vascular diseases are not as prevalent as coronary heart disease and other related diseases such as heart failure, high blood pressure, elevated cholesterol and obesity.
One of the important data to examine is the intergenerational income elasticity, which defines how relevant the income of children to that of their parents, or in another world, how likely will everyone in America be stuck in the same social and economical status with their parents. By comparing this data of United States to the rest of the world, a pattern will show to offer us with the answer of our main
Population Health Management is the iterative process of managing clinical, financial and operational entities to help boost health outcomes and patient engagement, while also decreasing expenses (Mellin & Funk, 2014). This capstone project will depict what Population Health Management (PHM) is and how it is incorporated within the military and civilian healthcare industry. It will focus on what PHM can bring to healthcare organizations as well as discussing the challenges they could face. PHM can be powerful instrument for improving the health of the community when utilized correctly. New technologies, laws and regulations will be broken down and discussed to show how they each play a role in implementing a PHM program. Gardner (2014) stated
Figure 4, represent the comparison of ages between gender, those who participated in the adult full-time workforce survey. To find out the comparison of gender and age I decided to break out the ages between four categories so that I could easily find out that what ages of people respondents much in the survey and shares their confidence and satisfaction in their working place. However, the four categories are young (18-26), Adult (27-40), Middle aged (41-55), and Old (56- up). There were more females (119) than males (81) participated in this adult survey. By comparing, Age of Gender in this frequency polygon shows that in this survey starting from the young aged there were adult and middle aged people respondent more than other two categories
Our country was founded by immigrants. One can even say that we are a nation of immigrants. Because of the different perspective of so many people we have become one of the most powerful nations in the world, but will the very thing that made us what we are today be our undoing? Within this essay, I will broach the topic of immigration and show you some of the dangers that it can causes.
What is the most carefree time in a person’s life after childhood? Chances are most people will answer early adulthood. When people imagine early adulthood they imagine a time filled with fun and parties, a time relatively free of worries and problems. At this stage in life people feel like they have nothing but time and often choose to spend this time in ways that are neither productive nor self-enhancing. People in their 20s are more often than not, under no pressure from society to plan for their future and because of this people often look back on the time they spent in their 20s and realize they could’ve done more to better themselves or realize that if they had taken certain steps they would be in a better
Starting in 1972, the General Social Survey (GSS) used a four-category response scale for respondents to answer a question on how they view their own health, known as the self-reported health question (SRH) (Smith 2005, 1). The four-categories used were: poor, fair, good, and excellent (Smith et al. 2017, 385) Starting in 2002, the GSS started using both a four and five-category scale for people to respond to the SRH (Smith et al. 2017,1537). The five-category scale used the same measures from the four-category scale, but also included “very good” as the fifth option. The question is: which response category form gives a better ability to determine SRH among people?