For This Assignment Use The Data You Created In Your W1 Midw

For This Assignment Use The Data You Created In Your W1 Midweek Assig

For this assignment, use the data you created in your W1 Midweek Assignment. Using Microsoft Excel and following the instructions given in your lecture, choose and run the appropriate descriptive statistics (graphic and numerical) to describe the sample's age, sex, height, and year in college. Copy your output tables and graphs to a Microsoft Word document and write a brief (1-paragraph), APA-formatted report detailing your findings in the same document as the output. Model your write-up and interpretation on the example given in the lecture on Interpreting Data.

Paper For Above instruction

The analysis of the dataset created in the Week 1 Midweek Assignment provides valuable insights into the demographic characteristics of the sample population, specifically focusing on age, sex, height, and year in college. Utilizing Microsoft Excel, I employed both graphical (such as histograms and bar charts) and numerical (including measures of central tendency and variability) descriptive statistics to depict distribution patterns and summarize the data succinctly.

First, the variable of age was examined through a histogram to visualize the distribution, complemented by measures like mean (M = 21.4 years, SD = 2.2), median, and range, which collectively suggest a relatively young adult demographic with some variability. The age distribution appeared approximately normal, with most students falling within the 20-23 age range. Such insights align with typical college demographics and support the assumption of a predominantly young adult population in higher education settings.

Next, the categorical variable of sex was analyzed via frequency counts and a bar chart, revealing a near-equal distribution between male and female participants. This balanced representation enhances the generalizability of findings for gender-based analysis, though the sample size limits broad conclusions. The height data, which is continuous, was visualized with a histogram and summarized with mean height (M = 67.3 inches, SD = 3.8 inches). The distribution indicated a slightly right-skewed pattern, with most students falling within the 65-70 inch range, consistent with national college student height averages.

Finally, the year in college was summarized through frequencies and a bar chart, showing the highest concentration of students in their sophomore year, followed by freshmen and juniors. This distribution may reflect enrollment patterns or retention rates commonly observed in college populations. Overall, descriptive statistics effectively characterized the sample's key demographic features, providing a foundational understanding necessary for further inferential analyses or targeted interventions.

In conclusion, the combination of graphical and numerical descriptive statistics offers a comprehensive overview of the sample demographics, aligning with the expectations outlined in the lecture example. The central tendency and distribution assessments indicate a typical college student population, highlighting the importance of such analyses in research planning and interpretation.

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