Choose a topic of interest and find a graphical display of data on that topic of interest. The graphical display can be either a scatterplot, dot plot, bar graph, histogram, stem-and-leaf, pie chart, or box plot. You will need to cite the source of this display using proper APA format.
2.) Share why you chose this topic and summarize the graph (what did you find interesting, confusing, and/or helpful). Be sure to reference with in-text citations (author, date) when necessary and in APA format. See example below for correct APA referencing format:
Last Name, First initial. (date) Title of article in sentence format. Location of article such as
Be sure to scroll through what has already been posted to make sure that there are no duplicated graphs. Graphs must be embedded into post and NOT as a file attachment. See picture below for Embed Image icon in HTML editor. Once you click Upload Image, drag the image that you would like to upload to the rocket ship. Then, press submit. There is also a video on how to do this in the Course Overview Module.
Please see carefully an Example of a classmate post to give you an idea of what you need to do:
1. For this assignment, I chose a histogram representing the distribution of BMI for the students in all high schools in Rasht, with a lower BMI limit of 15 and an upper limit of 35.
Figure 1
Histogram of BMI distribution.
2. I chose this topic because it is interesting which factors can contribute to Polycystic ovary syndrome (PCOS) occurrence, the most common endocrine disorder in women, leading to infertility, obesity, liver disease, diabetes, cardiovascular, and other health problems.
Materials and methods:
· cross-sectional study;
· multi-stage cluster sampling;
· 1850 female students, the mean age of subjects 17.2 ± 0.7 years (the age of menarche 12.8 ± 0.9 years), diagnosed with PCOS;
Analysis:
· unimodal distribution because it has one prominent peak;
· mean BMI is 𝑥⎯⎯⎯x¯=∑ 𝑥𝑛∑xn=21.12
· the distribution is skewed to the left, yet it is not statistically significant, according to the description;
· A small number of individuals have extreme values with BMI >30
· Interestingly, there is no significant difference in BMI between students with PCOS and healthy people. The frequency y-axis confuses me because it doesn’t show the real number of participants. I don’t quite understand what that bell-shaped line means. I assume it might be a Gaussian or “normal” distribution of BMI of a healthy population. That’s why it was mentioned that the results are not statistically significant because the histogram almost matches Gaussian bell-shaped curve.
· Conclusion: Using statistical analysis allows us to understand the relationship between specific clinical parameters and the prevalence of health issues. “A long-term follow-up is needed to compare the accuracy of clinical determination of the disease versus diagnosis based on hormonal and/or sonographic assessments.” (Asqharnia et al., 2011).
References
Asgharnia, M., Mirblook, F., & Soltani, M. (2011). The Prevalence of Polycystic Ovary Syndrome (PCOS) in High School Students in Rasht in 2009 According to NIH Criteria. International Journal of Fertility and Sterility, 4(4), 156–159.
