A normal distribution occurs when the means and the median are the same number. A symmetric bell-shaped curve characterizes it. Nandy et al. (2022) stated that the conventional statistical distribution used in modeling different kinds of health data is the bell-shaped and symmetric normal distribution. A skewed distribution occurs when the mean and the median become different numbers. A left-skewed distribution occurs when one tail is longer than the other, resulting in asymmetry. A left-skewed, negative distribution will have the mean to the left of the median. A right-skewed distribution will have the mean to the right of the median.

Skewness is a well-established statistical concept for continuous and, to a lesser extent, discrete quantitative statistical variables (Klien & Doll, 2021). There are many causes of skewness, such aswhen a distribution isnot symmetrical when theright-skewed (positive skew)orleft-skewed (negative skew) and causing that tail to be longer on one side. Other causes of skewness can be data collection errors and lead to biased limit estimates. For example, if you estimate the mean of a positively skewed distribution, the mean will be pulled towards the tail, resulting in a miscalculation.As a researcher, you hold the key to dealing with skewed data. By choosing statistical models that can handle such distributions,you can ensure the accuracy and reliability of your results. Consider the research context and whether the skewness affects the interpretation of results.

Assignment

Review the above paragraph and briefly explain why you agree with the author's view point.