feat: new article

Author: DiogoRibeiro7

_posts/2020-01-01-chisquare_test_exploring_categorical_data_goodness_fit.md

@@ -0,0 +1,13 @@
+---
+date: '2020-01-01'
+header:
+  image: /assets/images/data_science_20.jpg
+  og_image: /assets/images/data_science_20.jpg
+  overlay_image: /assets/images/data_science_20.jpg
+  show_overlay_excerpt: false
+  teaser: /assets/images/data_science_20.jpg
+  twitter_image: /assets/images/data_science_20.jpg
+seo_type: article
+tags: []
+---
+

_posts/statistics/2016-07-26-understanding_distribution_descriptions_their_importance_statistics.md

@@ -5,9 +5,7 @@ categories:
 - Data Science
 classes: wide
 date: '2016-07-26'
-excerpt: Dive into the intricacies of describing distributions, understand the mathematics
-  behind common distributions, and see their applications in parametric statistics
-  across multiple disciplines.
+excerpt: Dive into the intricacies of describing distributions, understand the mathematics behind common distributions, and see their applications in parametric statistics across multiple disciplines.
 header:
   image: /assets/images/data_science_16.jpg
   og_image: /assets/images/data_science_16.jpg
@@ -21,21 +19,16 @@ keywords:
 - Parametric
 - Data analysis
 - Normal distribution
-seo_description: Explore the nuances of describing statistical distributions, their
-  mathematical properties, and applications across fields like finance, medicine,
-  and engineering.
+seo_description: Explore the nuances of describing statistical distributions, their mathematical properties, and applications across fields like finance, medicine, and engineering.
 seo_title: 'Describing Distributions for Parametric Statistics: A Deep Dive'
 seo_type: article
-summary: This article explains the role of distribution descriptions in parametric
-  statistics, examining key distributions, their parameters, and the importance of
-  distributional assumptions in real-world data analysis.
+summary: This article explains the role of distribution descriptions in parametric statistics, examining key distributions, their parameters, and the importance of distributional assumptions in real-world data analysis.
 tags:
 - Statistics
 - Data analysis
 - Distributions
 - Parametric statistics
-title: A Comprehensive Guide to Describing Distributions and Their Role in Parametric
-  Statistics
+title: A Comprehensive Guide to Describing Distributions and Their Role in Parametric Statistics
 ---
 
 Understanding and describing distributions forms the basis of parametric statistics. Parametric methods rely on the assumption that data follows specific distributions with known parameters. These parameters, such as the mean and standard deviation, encapsulate the key characteristics of data, facilitating complex analyses and statistical inferences. By exploring mathematical properties and practical applications of common distributions, this article illuminates why a solid grasp of distributional descriptions is vital in fields from finance to healthcare.