Use the Descriptive Statistics and Interpretation Example to develop an interpretation of the descriptive statistics.

According to the examples, there are a variety of heights and weights. With a standard deviation 3.3 in, the height average was 69inches. The weight mean was 135 lbs with a standard deviation 25.5 lb. The average person in the sample was approximately 69 inches tall, weighing approximately 135 pounds. However, there are significant variations around that number. This range includes heights of 64-74 inches and weights between 100-170 lbs., which indicates that not all people fall within the two categories. Therefore it is difficult to base assessments on these values alone.

While understanding the average figures can be useful as far as generalizations go , it’s equally important to consider other factors such as age which may have played role influencing someones physical dimensions since BMI scores are known vary depending on where person falls chronologically speaking . Sex also has an impact on readouts like size, as there are differences in body composition among genders. Further analysis is needed to gain a better picture of overall health status for members within this sample.

Data gathered through descriptive statistical techniques provides useful insights into any population’s characteristics. However, results without considering additional variables such as age and gender may not always be representative of the entire sample. This is especially true when people have different attributes. Healthcare professionals can interpret all information accurately to better understand the needs of patients and provide high-quality care no matter how difficult it may be.