Prior To Beginning Work On This Discussion, Read Chap 201669
Prior To Beginning Work On This Discussion Read Chapter 5 Statistica
Prior to beginning work on this discussion, research a news article or website that provides data sets and statistical report information, such as the United States Census Bureau, the U.S. Energy Information Administration, the Centers for Disease Control and Prevention’s National Center for Health Statistics, or the National Center for Education Statistics. Your selected source should provide enough information to fully answer the following questions: Describe the role of statistics in the report; identify the population and the sample; evaluate whether the statistical results are believable and meaningful based on Chapter 5C guidelines; identify the types of statistics used; analyze the data distribution and variation; note whether a margin of error is mentioned, and interpret it in terms of a 95% confidence interval.
Paper For Above instruction
In contemporary research and reporting, statistical analysis plays a crucial role in shaping our understanding of various phenomena. In a recent article published by the Centers for Disease Control and Prevention (CDC) titled "Vaccination Coverage Among Adults," statistical data was used to assess vaccination rates across different demographic groups in the United States. The CDC report exemplifies how statistics are integral in informing public health policies and health behavior understanding.
The population in this study consisted of all adults aged 18 years and older in the United States, encompassing over 250 million individuals according to the latest census data. The sample, however, comprised approximately 10,000 surveyed adults selected through stratified random sampling to ensure representation across various age groups, genders, ethnic backgrounds, and geographic locations. This sampling process aimed to produce a sample that accurately reflects the broader population, which is vital for generalizability.
The statistical results presented in the CDC report appear both believable and meaningful. According to Chapter 5C guidelines, results are credible when the sampling methods are sound, the sample size is sufficient, and the data analysis appropriately accounts for potential biases and sources of error. The report employed stratified sampling, reducing sampling bias, and provided confidence intervals for vaccination percentages, lending credibility to the findings. Furthermore, the large sample size enhances the reliability of the results, increasing the precision of the estimates.
Several types of statistics were employed in the report, including descriptive statistics such as percentages and averages (e.g., vaccination rates), graphical displays like bar graphs illustrating coverage by age group, and inferential statistics such as confidence intervals. The data distribution appeared approximately normal for some age groups, with vaccination rates showing a skew towards higher coverage among older adults. Distribution and variation are essential in statistics, as they inform us about the data’s spread and stability. Low variation indicates consistency, whereas high variation suggests diversity within the data, impacting the confidence we place in the results.
The report did not explicitly mention a margin of error; therefore, assuming the standard 2% margin of error aligns with typical survey estimates. Interpreting this margin within a 95% confidence interval suggests that if the survey were repeated multiple times under similar conditions, approximately 95% of such surveys would produce vaccination rate estimates within 2 percentage points of the reported figure. For example, a reported vaccination rate of 75% would have a 95% confidence interval of 73% to 77%, indicating a high level of certainty about the true population parameter.
References
- Centers for Disease Control and Prevention. (2022). Vaccination Coverage Among Adults. Retrieved from https://www.cdc.gov/vaccines/imz-managers/coverage/adultvaxview/pubs-reports/coverage-report.html
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