Confidence intervals allow us to pinpoint data to a degree of confidence. The intervals are used to estimate the reliability of an estimate. Usually, the confidence levels that are calculated are 90%, 95%, and 99%. The confidence intervals for my particular situation are as follows:
A confidence interval is the range of values where the population parameter falls with a specified probability; this probability is referred to as level of confidence (Lind, Marchal, & Wathen, 2010.) For the process under consideration, the parameter of interest is the mean driving time. Given the inherent variability of traffic conditions in urban areas, it is appropriate to find the confidence interval with a 90% level of confidence.
Demographic data is the first type of data I collected. Bernhardt (2013) describes demographic data as information that, “set the context for the school, describe those who are teaching and learning in the school, and help us understand all other numbers” (pp. 28). Examples of such data include the number of students and teachers in the school, the ethnical breakdown of the school, the socioeconomic status of students in the school, and the grade levels found in the school, among many others (Bernhardt, 2013). All of this data is studied to look at trends within a school, which then help to create plans to improve the school. Byron Center has been steadily growing over the past five years and is still continuing to grow, as new housing developments
12. _____ For a given population, confidence intervals constructed from larger samples tend to be narrower than those constructed from smaller samples. Which statement below best describes why this is true? (A) The variability of the sample mean is less for larger samples. (B) The z-value for larger samples tends to be more accurate. (C) The population variance is larger for large populations. (D) As the sample size increases, the z-value (or t-value) becomes smaller. A machine dispenses potato chips into bags that are advertised as containing one pound of product. To be on the safe side, the machine is supposed to be calibrated to dispense 16.07 ounces per bag, and from long time observation, the distribution of the fill-weights is known to be approximately normal and the process is known to have a standard deviation of 0.15 ounces.
Standard Deviation of Mean= 0.4762Standard Deviation of Median= 0.7539The standard deviation of the Mean is smaller, which means all of the data points will tend to be very close to the Mean. The Median with a larger Standard Deviation will tend to have data points spread out over a large range of values. Since the Mean has the smaller value of the Standard Deviations, it has the least variability.
1. A researcher is interested in whether students who attend private high schools have higher average SAT Scores than students in the general population. A random sample of 90 students at a private high school is tested and and a mean SAT score of 1030 is obtained. The average score for public high school student is 1000 (σ= 200).
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).
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.
Benjamins and Whitman (2014) were able to conduct a research study in four different communities in the state of Chicago that examined the correlation between disparities or discrimination among racial/ethnic groups and it’s effect on the quality of healthcare and outcomes. The title of the study is the Relationship between discrimination in health care and health outcomes among four race/ethnic groups. Healthcare disparity is one of the major issues that the healthcare system in U.S is facing and the authors of this study stated that although this issue is huge, not many researches have been done on the issue. Benjamins and Whitman (2014) collected the data from the Sinai Improving Community Health Survey. The data was aimed to document the health of six Chicago communities (Benjamins & Whitman, 2014). The data was chosen to reflect major racial/ethnic population in Chicago.
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
My data analysis of racial demographics in the school district shows that the area is uniquely isolated – surrounded by communities that don’t look similar. At Palos Verdes Peninsula High, there are two primary ethnic groups that attend school – white students and Asian students. Combined, they make up over 75% of the high school population, while white students represent the largest overall at just over 40%. The third largest ethnic group represented is Hispanic or Latino students, of which there are only 262. This equals about one-tenth of the high school. The district overall has even higher percentages of white students, totaling almost 48%. Only 12% of the district’s students identify as either Hispanic or
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