Demographic Variables

Demography is the science of human populations and their change over time, and the United States Census reveals important demographic changes decade-by-decade that affect politics, government and public policy. One of the most important demographic trends is that the U.S. has become a far more multicultural and multilingual society than it was in 1960, due in part from changes in the immigration laws in 1965 that abolished the quota system of the National Origins Act that favored European immigrants. As a result, Asians and Hispanics have been the majority of new immigrants over the past forty years and states like California and Texas already have majority-minority populations or soon will have. At some point in the 21st Century, the U.S. as a whole is going to become a majority-minority society for the first time in its history. Another major demographic trend is the rapid growth of the over-65 population as the Baby Boom generation begins to retire, which will mean heavier expenditures on federal entitlement programs like Medicare and Social Security. Elderly voters are also the most politically active group, especially when protecting these key safety net programs, and this has become a major political and public policy issue in recent years.

It might impact because more immigrant households are enrolling in early childhood programs. According to Edweek.org(2014) the enrollment has increased in certain regions to include the west and south regions. Latinos were one of the races that were in high attendance in those school districts. Changing demographics can impact the center due to teachers not adequately prepared to teach children from cultural and linguistic background. This impact would force centers to have teachers training programs to prepare teachers for a more diverse center. Eric.ed.gov(2014) discusses that teachers will need to modify or change their teaching practices to now fit a changing demographic to specifically meet the needs of their students.

In order to best describe the cultural landscape of Stafford County and Fredericksburg city, one must analyze the historical conditions that shaped the modern landscape, which will provide insight into present-day demographics as well as future projections. Throughout the seventeenth and eighteenth centuries, settlements in Virginia rapidly spread westward from the Tidewater Region. Navigable rivers provided the means of movement, as settlers sailed into the Piedmont. While large plantations were initially established in a dispersed and decentralized pattern, several towns of small size began to prosper as sites of tobacco shipment inspection. The exploration of the Rappahannock River dates to 1608, when Captain John Smith visited the falls and encountered indigenous Native

The chi-square tests were developed by Karl Pearson— the "Pearson Correlation" There are two chi-square procedures discussed in this class. Both of them have two names. The first is called the goodness-of-fit chi-square test, or alternatively the 1 × k (said "one by kay") chi-square. Tanner, D. E., & Youssef–Morgan, C. M. (2013). A chi-square goodness of fit test allows us to test whether hypothesized proportions differ from the observed proportions for a categorical variable. In other words, the chi-square test tells us whether there is a large difference between expected and collected numbers. After testing to see if there is a large difference will tells us if there is something causing a significant change. If it is a large difference we will reject the null hypothesis. Moreover, if the scores are too close they are the same. To use the number we find, we refer to the degrees of freedom, usually labeled as df for short, and is defined for the chi-square as the number of categories minus 1. Due to the nature of the chi-square test, you will always use the number of categories minus 1 to find the degrees of freedom. The reason this is done is because there is an assumption that your sample data is biased, and this helps shift your scores to allow for

To what extent do race & ethnicity, social class and commercialism influence participation in sport, and in what ways?

I have lived in Wichita, KS the majority of my life. I attended Wichita State University immediately following high school. While attending Wichita State, my family, friends, and classmates talked about how dangerous that area was. Classmates also talked about robberies occurring so my friends and I always walked in groups to our vehicles especially at night. I wanted to know if the stories about crime were true. I also wanted to know about crime in the various areas I have resided within Wichita as well as the high crime areas. I have family who still lives in and around Wichita and I wanted to know about the overall violent crime rates in the city. Wichita is the largest city in the state of Kansas with a population of 386,486 (2013 Crime Report KBI). The state of Kansas has a population of 2,963,402 (2013 Crime Report KBI). I am hoping to answer the following questions in my research: 1) Do the neighborhoods near Wichita State University have a high violent crime rate/high violent offender population? 2) Do the various neighborhoods where I have resided have a high concentration of violent offenders? If so, which are the highest? 3) What racial groups make up these areas? 4) What are the income levels of these areas?

According to the US Census Bureau, as of July 1, 2015 the estimated population of the United States was 321.4 million. Of this number, the percentage of people who identified as Black or African American alone was 13.2 percent. There were no estimates for people who identified as Black or African American in combination with one or more additional races. (Population). According to the 2010 U.S. Census, on April 1, 2010 the U.S. population was 308.7 million and out of that number, 13 percent or 38.9 million people identified as Black or African American alone and one percent or 3.1 million people identified as Black or African American in combination with one or more additional races. These two groups combined total 42.0 million, or 14 percent

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

I will now examine how gender and ethnic contributed to our crisis event. In addition, I can conclude that ethnicity and gender roles had a great impact on my family. Gender roles not only divide individuals into two dominant categories but grants roles that are taught to be manageable. Both gender are provide guidelines that must be followed.

Education and money are the top two social determinants in the United States (Burke, 2014). In Poland, regarding tobacco use, culture, post communism reaction, etc., are the social determinants (WHO, 2017). When there is scarcity of resources, and low levels of education and money, quite often the response is to react in ways that are harmful to one’s health. For example, if one should lose their job, and low education and income are present, as well as scarcity of resources, such as a support system or even hope that another job will come along, then an individual might smoke and drink more, not pay attention to their diet, and exercise less. According to Burke (2014), the event of poverty burdens the brain, such that rational decisions are less likely to be made. Hence, more tobacco use, and even the purchasing of lottery tickets. Another example of this, is the upward

The greater Cincinnati tristate area consists of 3 states. Kentucky, Ohio, and Indiana. All of these states contain there own individual attributives as well as unique personalities and groups. These groups can be separated into there own categories. The first being "The Yankees" they come from the most northern area such as downtown Cincinnati. The next group is "The Rednecks" this group consists of farmers from the northern Kentucky area. The last group is "The hippies" which consists of the outer Cincinnati and northern Kentucky area. Each of these groups offer unique skills that insure individuality and diversity in my home town.

The mean for variable 1 (Southern Africa) is 2.48. The mean for variable 2 (North Africa) is 2.28. The standard deviation for variable 1 is 1.077 and for variable 2, 9.68. The number of participants in each condition variable 1 N = 16922 and variable 2 N = 5466.

From the beginning my group knew we were going to be researching three to five year olds. After brainstorming for about a week, my group settled on a topic about food away from home consumption and how it related to socioeconomic factors. One of the topics that was rejected was the idea to study the psychology of color within food advertisement and how it relates to childhood obesity. After picking our topic our professor helped us narrow it down to specifically researching income status instead of all the socioeconomic factors. In the end, we had ten research questions and only had to remove one question from the study. The question was about consumption of frozen pizzas and we removed it because we felt it did not correlate as well as we

The data is categorical in nature. Also, there are no probabilities to be given in nominal scale

The instrument used is questionnaire and chi-square is used to test the relationship between the variables, which has proven that there is a