Notepub (Official)

Note published by Notepub's official team.

Descriptive Statistics – Measures of association – Quantile-Quantile Plots

In the previous note of descriptive statistics, we have introduced bivariate scatter plots and learned the technique to analyze the relationship between two variables. Moreover, this note will learn about other graphical tools called Quantile-Quantile (Q-Q) plot to find the association between two variables differently. Need for Quantile-Quantile (Q-Q) plots Suppose we received two samples from some …

Descriptive Statistics – Measures of association – Quantile-Quantile Plots Read More »

 174 total views

Descriptive Statistics – Measures of association – Bivariate scatter plots

In the previous note on assiciation of variables, we have introduced the need to study the association of variables using different tools. Moreover, this note will start with graphical tools to measure the degree of association between variables. A very useful graph for visualizing the relationship between two quantitative variables is a scatterplot. It provides …

Descriptive Statistics – Measures of association – Bivariate scatter plots Read More »

 212 total views

Descriptive Statistics – Measures of association

In the earlier notes on descriptive statistics, we covered descriptive statistics for univariate analysis using both graphical and analytical tools. In the graphical tools for the univariate analysis, we have seen different plotting techniques such as histogram, scatter plot, and kernel density functions to visualize the characteristics of individual data points within a variable. Compared …

Descriptive Statistics – Measures of association Read More »

 134 total views,  1 views today

Big Data Computing – History of storage, processing, and data analysis technology

In early 1970, historical data were analyzed by the human, and these data were stored and managed on the operational or hierarchical database. Gradually, technology developed, and data storage and processing moved from hierarchical to relational databases. It had given significant flexibility to store and manage structure data. Evolution of storage, processing, and data analysis …

Big Data Computing – History of storage, processing, and data analysis technology Read More »

 84 total views

Descriptive Statistics – Measures of Shape – Skewness, and Kurtosis

In the earlier notes of descriptive statistics, we have covered raw, central, and absolute moments. In this note, we will study the characteristics, precisely the shape and peakedness, of the frequency curve or distribution in terms of the followings: Skewness: It tells the amount and the direction of skewness from the horizontal symmetry. Kurtosis: It tells the shape of the …

Descriptive Statistics – Measures of Shape – Skewness, and Kurtosis Read More »

 1,850 total views

What is Sheppard’s correction for moments in statistics

Generally, we assume that the frequencies are concentrated in the middle part of the class interval in the grouped data. Based on the middle value, we compute moments and then compute mean, variance, and other quantitative measures. However, this assumption does not hold in general and introduces a grouping error. Understanding of grouping error In …

What is Sheppard’s correction for moments in statistics Read More »

 295 total views

Descriptive Statistics – Moment

In the earlier notes of descriptive statistics, we have seen two different aspects to measure or quantify the data: the first one was the central tendency of data, and the second one was variation in data. Even we have seen how to compare two different variables’ variability using the Coefficient of Variance (CV), this makes …

Descriptive Statistics – Moment Read More »

 235 total views

Scroll to Top
Scroll to Top