Skewness and Kurtosis | Research Methodology and Statistics| Malayalam Explanation

Normal distribution, also known as Gaussian distribution, is a statistical concept that represents a symmetrical bell-shaped curve where data is concentrated around the mean, showcasing a balanced spread. It is widely used due to its prevalence in nature and various phenomena. When data deviates from this standard distribution, it exhibits skewness and kurtosis. Skewness indicates the degree of asymmetry in the distribution - positive skewness means a longer right tail, while negative skewness implies a longer left tail. Kurtosis measures the tail heaviness of the distribution - positive kurtosis suggests a sharper peak and heavier tails, while negative kurtosis indicates a flatter peak and lighter tails. These measures help in understanding how data diverges from the typical bell curve and are crucial in statistical analysis and modeling.

[@vlogsofjabs6699]

Nice class,malayalathil eee topic ithrem vrithik aarum paranjitilla❤

[@sijojohnson227]

Thank you ma'am for this explaining😍

[@greeshmaanju7863]

Adipoli cls aayind vinitha 🎉❤very helpful

[@deethu007]

Awh🙌

[@Stoic00740]

Hastla fista