Correlations in Health Sciences

Assignment: Correlations

Introduction

From the onset, it would be prudent to note that statistics knowledge has been applied to various research fields, namely the health sciences, social sciences, and physical sciences. The current paper seeks to assess the relationship and associations between the variables under investigation. Therefore, the current paper aims at investigating the connection/relationship between the usage of caffeine and headaches. Also, the current paper aims at assessing the association between hospital wait times and patient care. Lastly, this particular paper will also investigate if there is a relationship between antibiotic use and weight gain.

Methodology

This section of the paper aims at providing the procedure of the study. The study employed a quantitative method in analyzing the study's results through summary statistics and inferential statistical analysis. Descriptive statistics aims at describing the study's variables in a meaningful and/or simple way/manner (Rio, Tenthorey, & Ramelet, 2021). The analysis will be done on the primary data on caffeine use, headache, hospital wait times, patient care, antibiotic usage and weight gain. Correlation analysis will be used in testing for statistical significance. A correlational design was used to assess the relationship between the study's variables, use of caffeine, headache, hospital wait times, patient care, antibiotic usage and weight gain (Benton, 2021). Therefore, the current study aims to explore the relationship between caffeine use, headache, hospital wait times, patient care, antibiotic usage and weight gain. In conducting the study's analysis, all the data sets were first entered into Excel, and later imported into SPSS version 20 for further statistical analysis. An alpha value of 5% was used to evaluate the significance of the results.

Results and Summary

This part of the paper aims to summarize the study's main findings and discussions highlighted in the research's objectives under investigation - which aims to summarize the results that seeks to determine the relationship between use of caffeine, headache, hospital wait times, patient care, antibiotic usage and weight gain. The results were analyzed through descriptive statistics, enabling and describing the study's data and presenting them in a more straightforward and meaningful manner. Inferential statistics aim to infer the population using the sample drawn (Gray and Groove, 2020).

Descriptive Statistics

The table on the descriptive statistics presented on week six outputs summarizes the study's variables, including doctor's visits, body weight, physical health, and mental health. The results show that they had means of 6.80,29.22,45.11, and 46.83, respectively. Their standard deviations were 12.72, 7.38,10.84, and 10.81, respectively, which measures how the variables are dispersed from their means.