create 5 APA 7th edition references on this topicUnderstanding the nuances between continuous and categorical variables, differentiating between descriptive and inferential statistics, and recognizing the implications of sample size, type 1 and type 2 errors, and the SIR rate is crucial for analyzing research and quality improvement projects in healthcare. Each of these elements contributes to the overall interpretation of study results and their applicability to real-world practice. Title: The Effectiveness of Medication in Reducing Blood Pressure Among Adults Continuous Demographic Variable: Age (25-65) Categorical Variable: Gender (Male & female) Interpretation of Demographic Variables Continuous Variable (Age): The mean age of participants in the study could be interpreted to assess how age influences the response rate to Medication. For example, if the average age is 58 years with a standard deviation of 10 years, it indicates variation within the population. Categorical Variable (Gender): The distribution of genders in the sample can provide insights into any gender-based differences in response to the treatment. If 60% of participants are male and 40% are female, this illustrates the proportion of each gender involved in the study. Differences Between Descriptive and Inferential Statistics Descriptive Statistics: These provide a summary of the data. For example, the mean age (e.g., 58 years) and the standard deviation (e.g., 10 years) summarize the continuous vari