Question.1861 - 1. Provide a summary of course content for chapters 7- 10. This summary should include key concepts, definitions, and examples as needed. This summary should be between 1 - 2 paragraphs in length. 2. Provide a summary of key concepts and/or chapter materials that have been challenging in chapters 7 - 10. This portion of the reflection paper encourages you to thoughtfully engage with the material and point out areas that may have been/continue to be difficult to understand. This summary should be between 1 - 2 paragraphs in length. 3. Provide an example of how material from chapters 7 - 10 can help us understand the social world in which we live. You will want to address the steps to research (i.e. research question, hypothesis etc.) and how these steps help you think about your selected social issue. You can use both sociological and criminal justice related social issues. This example can be based on verified sources (i.e. PEW Research) but this is not required. If you do choose to include sources, you must provide both in-text and reference citations. This example should be between 1 - 2 paragraphs in length.
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Reflection paper 3 William Pope UNC Pembroke Social Statistics SOC 3600 801 Dr. Melanie Escue March 26th , 2024 1.This is my final takeaway for the course. I thoroughly enjoyed the semester, and it was a great learning. Chapters 7 to 10 were quite advanced and included all the tests. In Chapter 7, I learned about the difference between one-sample t-tests and two-sample t-tests. It was quite challenging to figure out the differences. Through thorough learning and practice, it made it relatively easy. One-sample tests compare the sample data to a known or hypothesized population parameter. On the other hand, two-sample tests contrast the means of two distinct, unrelated groups. The independent samples t-test is a popular two-sample test for determining?if there is a significant difference between the means of two independent samples. I became familiar with the chi-square test in Chapter 8. The relationship between variables at the nominal or ordinal level can be determined using the chi-square test. It does not involve negative values. Chapter 9 discusses the ANOVA. It is a statistical technique for comparing means to multiple groups. Finally, Chapter 10 discusses about correlation and regression. Whereas regression forecasts the outcome between the two variables, correlation establishes the direction and strength of the relationship between the?two variables. Regression involves?two types: multiple regression analysis and bivariate regression analysis. One dependent variable and one independent variable are used in bivariate regression, while one dependent variable and two or more independent variables are used in multiple regression.? 2.I faced many challenges in determining the difference between one sample t-test and two sample t- test. The assumptions were quite confusing and it was very hard for me to remember. However, I always had a confusion as to when to use z - test and t-test. The materials provided in the module really helped me a lot. About?Chapter 8, I find it difficult to distinguish between the chi-square test of independence and the chi-square goodness of fit. I wonder?if a research question asks?for the chi-square test of independence or the chi-square goodness of fit. This part of this chapter was challenging. Chapters 9 and 10 were pretty easy to understand. There, I did not find many challenging concepts. However, I was finding it difficult to select the appropriate test for a given research question and understand when and how to apply it correctly. 3.Considering a research hypothesis on whether crime leads to poverty. To determine this, I have used correlation and regression tests. In the initial step, we state our hypothesis.?? Null Hypothesis:?There is no significant relationship between poverty and crime. Alternative Hypothesis:?There is a significant relationship between poverty and crime. I will collect data on poverty and crime rates in different neighborhoods across the city. Then, based on the data, I will perform correlation analysis to examine the relationship between poverty levels and crime rates using Excel data analysis. If the results range between - 1 and +1, then there is a significant positive correlation, which suggests that the crime rate increases as the poverty level increases. I can gain insights into the complex relationship between poverty and crime by applying these statistical tests.?More Articles From Statistics
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