{"id":2718,"date":"2023-03-23T08:41:36","date_gmt":"2023-03-23T08:41:36","guid":{"rendered":"https:\/\/pickl.ai\/blog\/?p=2718"},"modified":"2024-08-21T09:36:34","modified_gmt":"2024-08-21T09:36:34","slug":"difference-between-descriptive-and-inferential-statistics-with-examples","status":"publish","type":"post","link":"https:\/\/www.pickl.ai\/blog\/difference-between-descriptive-and-inferential-statistics-with-examples\/","title":{"rendered":"Difference Between Descriptive and Inferential Statistics"},"content":{"rendered":"<p><b>Summary: <\/b><span style=\"font-weight: 400;\">Learn the critical differences between descriptive and Inferential Statistics and their types and practical applications. Descriptive Statistics summarise data, while Inferential Statistics make predictions and conclusions. Mastering both enhances your data analysis skills.<\/span><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.pickl.ai\/blog\/difference-between-descriptive-and-inferential-statistics-with-examples\/#Introduction\" >Introduction<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.pickl.ai\/blog\/difference-between-descriptive-and-inferential-statistics-with-examples\/#What_is_Descriptive_Statistics\" >What is Descriptive Statistics?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.pickl.ai\/blog\/difference-between-descriptive-and-inferential-statistics-with-examples\/#What_is_Inferential_Status\" >What is Inferential Status?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.pickl.ai\/blog\/difference-between-descriptive-and-inferential-statistics-with-examples\/#Types_of_Descriptive_Statistics\" >Types of Descriptive Statistics<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.pickl.ai\/blog\/difference-between-descriptive-and-inferential-statistics-with-examples\/#Frequency_Distribution\" >Frequency Distribution<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.pickl.ai\/blog\/difference-between-descriptive-and-inferential-statistics-with-examples\/#Central_Tendency\" >Central Tendency<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.pickl.ai\/blog\/difference-between-descriptive-and-inferential-statistics-with-examples\/#Variability_or_Dispersion\" >Variability or Dispersion<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.pickl.ai\/blog\/difference-between-descriptive-and-inferential-statistics-with-examples\/#Types_of_Inferential_Statistics\" >Types of Inferential Statistics<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.pickl.ai\/blog\/difference-between-descriptive-and-inferential-statistics-with-examples\/#Regression_Analysis\" >Regression Analysis<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.pickl.ai\/blog\/difference-between-descriptive-and-inferential-statistics-with-examples\/#Hypothesis_Test\" >Hypothesis Test<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.pickl.ai\/blog\/difference-between-descriptive-and-inferential-statistics-with-examples\/#Confidence_Intervals\" >Confidence Intervals<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.pickl.ai\/blog\/difference-between-descriptive-and-inferential-statistics-with-examples\/#Difference_between_Descriptive_and_Inferential_Statistics\" >Difference between Descriptive and Inferential Statistics<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.pickl.ai\/blog\/difference-between-descriptive-and-inferential-statistics-with-examples\/#Frequently_Asked_Questions\" >Frequently Asked Questions<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/www.pickl.ai\/blog\/difference-between-descriptive-and-inferential-statistics-with-examples\/#What_is_the_main_difference_between_descriptive_and_Inferential_Statistics\" >What is the main difference between descriptive and Inferential Statistics?\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/www.pickl.ai\/blog\/difference-between-descriptive-and-inferential-statistics-with-examples\/#What_are_the_types_of_Descriptive_Statistics\" >What are the types of Descriptive Statistics?\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/www.pickl.ai\/blog\/difference-between-descriptive-and-inferential-statistics-with-examples\/#How_are_Inferential_Statistics_used_in_real-life_scenarios\" >How are Inferential Statistics used in real-life scenarios?\u00a0<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/www.pickl.ai\/blog\/difference-between-descriptive-and-inferential-statistics-with-examples\/#Conclusion\" >Conclusion<\/a><\/li><\/ul><\/nav><\/div>\n<h2 id=\"introduction\"><span class=\"ez-toc-section\" id=\"Introduction\"><\/span><b>Introduction<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Data Analytics and <\/span><a href=\"https:\/\/pickl.ai\/blog\/what-is-data-science-comprehensive-guide\/\"><span style=\"font-weight: 400;\">Data Science<\/span><\/a><span style=\"font-weight: 400;\"> are required career fields in the market today. One of the essential parts of the career is Statistics. In the Mathematics branch, statistics helps conduct market analysis using bulk numerical data. There are two different types of Statistical Analysis in Data Analytics. Accordingly, it includes Descriptive Statistics and Inferential Statistics.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this blog, we will explore the differences between descriptive vs Inferential Statistics and explain the different types of these techniques in detail. Let\u2019s get started!<\/span><\/p>\n<h2 id=\"what-is-descriptive-statistics\"><span class=\"ez-toc-section\" id=\"What_is_Descriptive_Statistics\"><\/span><b>What is Descriptive Statistics?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a href=\"https:\/\/pickl.ai\/blog\/a-comprehensive-guide-to-descriptive-statistics\/\"><span style=\"font-weight: 400;\">Descriptive Statistics<\/span><\/a><span style=\"font-weight: 400;\"> is the branch of statistics that deals meaningfully with data collection, analysis, and presentation. Accordingly, Descriptive Statistics summarise and describe the critical features of a dataset, such as its central tendency, variability, distribution, and shape.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">There are two main types of Descriptive Statistics: frequency distribution, central tendency measures and variability.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Significantly, measures of central tendency include the mean, median, and mode, which describe a dataset&#8217;s typical or principal value. Measures of variability include the range, variance, and standard deviation, which represent how to spread out or variable the values in a dataset.\u00a0<\/span><\/p>\n<h2 id=\"what-is-inferential-status\"><span class=\"ez-toc-section\" id=\"What_is_Inferential_Status\"><\/span><b>What is Inferential Status?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a href=\"https:\/\/pickl.ai\/blog\/inferential-statistics-to-boost-your-career-in-data-science\/\"><span style=\"font-weight: 400;\">Inferential Statistics<\/span><\/a><span style=\"font-weight: 400;\"> is the branch of statistics that makes predictions or conclusions about a population by emphasising a sample of data from the people. Effectively, it involves using statistical methods to analyse and interpret data to make predictions and test hypotheses.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Moreover, Inferential Statistics relies on Probability Theory and Mathematical methods. Hence, these methods help quantify the uncertainty and variability in the data from which data samples were taken.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Some standard techniques used in Inferential Statistics include hypothesis testing, confidence intervals, and <\/span><a href=\"https:\/\/pickl.ai\/blog\/regression-in-machine-learning-types-examples\/\"><span style=\"font-weight: 400;\">regression<\/span><\/a><span style=\"font-weight: 400;\"> analysis. Significantly, the use of Inferential Statistics is widely popular in the fields of science, business economics, social sciences, and healthcare.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Accordingly, it helps these industries make decisions and draw practical conclusions based on empirical data. Moreover, the tool helps make informed decisions and assess the reliability and validity of the findings.\u00a0<\/span><\/p>\n<p><b>Read Blog: <\/b><a href=\"https:\/\/pickl.ai\/blog\/probability-distribution-in-data-science\/\"><span style=\"font-weight: 400;\">Probability Distribution in Data Science: Uses &amp; Types<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h2 id=\"types-of-descriptive-statistics\"><span class=\"ez-toc-section\" id=\"Types_of_Descriptive_Statistics\"><\/span><b>Types of Descriptive Statistics<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Understanding the types of Descriptive Statistics is crucial as they provide essential tools for summarising and interpreting data. These statistics help identify patterns, trends, and insights, enabling informed decision-making and effective communication of data-driven findings across various fields and industries. There are three types of Descriptive Statistics, which can be explained in the following:<\/span><\/p>\n<h3 id=\"frequency-distribution\"><span class=\"ez-toc-section\" id=\"Frequency_Distribution\"><\/span><b>Frequency Distribution<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">It is a method of organising and summarising data using a table or graph that displays the frequency of each value or range of values within a dataset. Consequently, it often shows how the response is given for different qualitative and quantitative data types.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Additionally, bar charts, histograms, pie charts and line charts are the most popular ways of presenting frequency distribution. Accordingly, each entry within the graph or table shows how often each value or group of values appears in a Dataset.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">To create a <\/span><a href=\"https:\/\/www.investopedia.com\/terms\/f\/frequencydistribution.asp#:~:text=Sydney%20Saporito%20%2F%20Investopedia-,What%20Is%20a%20Frequency%20Distribution%3F,of%20frequency%20of%20the%20variable.\"><span style=\"font-weight: 400;\">frequency distribution<\/span><\/a><span style=\"font-weight: 400;\">, the data is first sorted into categories or intervals called bins, representing the range of values for counting. The frequency from each bin is calculated, and the results are presented in a table.<\/span><\/p>\n<h3 id=\"central-tendency\"><span class=\"ez-toc-section\" id=\"Central_Tendency\"><\/span><b>Central Tendency<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">It is a type of Descriptive Statistics in which the summary of the statistics is involved. It uses a single value reflecting the data distribution point. The central tendency is to locate the data distribution through various issues.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Furthermore, it helps show the dataset&#8217;s average or most common responses. Measures of central tendency include the mean, median and mode.<\/span><\/p>\n<h3 id=\"variability-or-dispersion\"><span class=\"ez-toc-section\" id=\"Variability_or_Dispersion\"><\/span><b>Variability or Dispersion<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Variability is a type of Descriptive Statistics that measures the extent to which the values in a dataset vary or spread out from each other. It summarises the amount of dispersion or diversity in a set of data.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Statistics commonly uses different types of measures of variability, including range, variance, standard deviation, interquartile range, and coefficient of variation.<\/span><\/p>\n<h2 id=\"types-of-inferential-statistics\"><span class=\"ez-toc-section\" id=\"Types_of_Inferential_Statistics\"><\/span><b>Types of Inferential Statistics<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Understanding the types of Inferential Statistics is crucial because they allow us to make predictions and generalisations about a population based on sample data. This knowledge is essential for analysing data accurately, making informed decisions, and conducting meaningful research across various fields. The three main types of Inferential Statistics are mentioned below:<\/span><\/p>\n<h3 id=\"regression-analysis\"><span class=\"ez-toc-section\" id=\"Regression_Analysis\"><\/span><b>Regression Analysis<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Finding the relationship between a set of independent and dependent variables is possible. With the help of regression models, The statistical model helps predict the dependent variable&#8217;s value, emphasising the independent variable&#8217;s values.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Effectively, Hypothesis testing is part of the model that helps determine whether the relationship observed from the sample data is valid as per the dataset.<\/span><\/p>\n<h3 id=\"hypothesis-test\"><span class=\"ez-toc-section\" id=\"Hypothesis_Test\"><\/span><b>Hypothesis Test<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><a href=\"https:\/\/pickl.ai\/blog\/hypothesis-testing-in-statistics\/\"><span style=\"font-weight: 400;\">Hypothesis testing<\/span><\/a><span style=\"font-weight: 400;\"> is a method in Inferential Statistics that is used to compare entire populations or analyse relationships between variables through samples. By applying statistical tests, we can make valid inferences or predictions.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This approach helps researchers determine if observed patterns or differences in the data are due to chance or if they signify an actual effect. Ultimately, hypothesis testing allows for informed decision-making based on statistical evidence, enhancing our understanding of the data and guiding further research.<\/span><\/p>\n<h3 id=\"confidence-intervals\"><span class=\"ez-toc-section\" id=\"Confidence_Intervals\"><\/span><b>Confidence Intervals<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><a href=\"https:\/\/www.investopedia.com\/terms\/c\/confidenceinterval.asp\"><span style=\"font-weight: 400;\">Confidence intervals<\/span><\/a><span style=\"font-weight: 400;\"> are vital in Inferential Statistics. They help estimate population parameters when the actual values are unknown. By providing an interval estimate, confidence intervals allow researchers to observe the variability in a statistic.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This method highlights the range within which the proper parameter will likely fall and quantifies the uncertainty associated with the estimate. Consequently, confidence intervals offer a clearer understanding of the reliability and precision of statistical inferences.<\/span><\/p>\n<h2 id=\"difference-between-descriptive-and-inferential-statistics\"><span class=\"ez-toc-section\" id=\"Difference_between_Descriptive_and_Inferential_Statistics\"><\/span><b>Difference between Descriptive and Inferential Statistics<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h2 id=\"\"><b><img fetchpriority=\"high\" decoding=\"async\" class=\"radius-5 aligncenter wp-image-11033 size-full\" src=\"https:\/\/pickl.ai\/blog\/wp-content\/uploads\/2023\/03\/image2-3.jpg\" alt=\"Descriptive and Inferential Statistics\" width=\"1000\" height=\"333\" srcset=\"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2023\/03\/image2-3.jpg 1000w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2023\/03\/image2-3-300x100.jpg 300w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2023\/03\/image2-3-768x256.jpg 768w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2023\/03\/image2-3-110x37.jpg 110w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2023\/03\/image2-3-200x67.jpg 200w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2023\/03\/image2-3-380x127.jpg 380w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2023\/03\/image2-3-255x85.jpg 255w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2023\/03\/image2-3-550x183.jpg 550w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2023\/03\/image2-3-800x266.jpg 800w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2023\/03\/image2-3-150x50.jpg 150w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The differences between descriptive and Inferential Statistics lie within the process of the statistical reports. Following are the key differences that you will need to know about descriptive and Inferential Statistics:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Descriptive Statistics provides you with information on raw data based on the description or features. On the other hand, Inferential Statistics extract inferences on the sample population using data derived from the people.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">You can use Descriptive Statistics to describe a situation. In contrast, Inferential Statistics can be used to explain an event\u2019s probability of occurrence.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Significantly, Descriptive Statistics help organise, analyse, and present data in an understandable format. Inferential Statistics help compare data and make hypotheses and predictions.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The data relevant to a particular sample or population is crucial in Descriptive Statistics and, hence, is easy to explain. However, Inferential Statistics concludes a group of people.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Moreover, Descriptive Statistics represent the data using charts, graphs, and tables. On the other hand, probability methods are helpful in Inferential Statistics.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Furthermore, a study is more straightforward to perform using Descriptive Statistics rather than Inferential Statistics because you can establish a relationship between the entire population.<\/span><\/li>\n<\/ul>\n<p><b>Must See:\u00a0<\/b><\/p>\n<p><a href=\"https:\/\/pickl.ai\/blog\/crucial-statistics-interview-questions-for-data-science-success\/\"><span style=\"font-weight: 400;\">Crucial Statistics Interview Questions for Data Science Success<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><a href=\"https:\/\/pickl.ai\/blog\/10-best-statistics-books-for-data-science\/\"><span style=\"font-weight: 400;\">Best Statistics Books for Data Science<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h2 id=\"frequently-asked-questions\"><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions\"><\/span><b>Frequently Asked Questions<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 id=\"what-is-the-main-difference-between-descriptive-and-inferential-statistics\"><span class=\"ez-toc-section\" id=\"What_is_the_main_difference_between_descriptive_and_Inferential_Statistics\"><\/span><b>What is the main difference between descriptive and Inferential Statistics?\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Descriptive Statistics summarise and describe the main features of a dataset through measures like mean, median, and mode, as well as graphs and tables. Inferential Statistics, on the other hand, use sample data to make generalisations and predictions and draw conclusions about a larger population.<\/span><\/p>\n<h3 id=\"what-are-the-types-of-descriptive-statistics\"><span class=\"ez-toc-section\" id=\"What_are_the_types_of_Descriptive_Statistics\"><\/span><b>What are the types of Descriptive Statistics?\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Descriptive Statistics include frequency distribution, which organises data into a table or graph; measures of central tendency (mean, median, mode) that indicate the central point of a dataset; and measures of variability (range, variance, standard deviation) that describe the spread or dispersion of data points.<\/span><\/p>\n<h3 id=\"how-are-inferential-statistics-used-in-real-life-scenarios\"><span class=\"ez-toc-section\" id=\"How_are_Inferential_Statistics_used_in_real-life_scenarios\"><\/span><b>How are Inferential Statistics used in real-life scenarios?\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Inferential Statistics are applied in fields like healthcare to determine treatment effectiveness, in business for market analysis and forecasting, and in social sciences to study behavioural trends. They help make data-driven decisions, predict future outcomes, and validate hypotheses by analysing sample data and extending the findings to a broader population.<\/span><\/p>\n<h2 id=\"conclusion\"><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span><b>Conclusion<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Hence, the above blog provides you with details on the differences between Descriptive Statistics and Inferential Statistics. You must ensure that you clearly understand your concepts and skills in this field while you embark on a Data Science journey.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Statistics is crucial for a Data Science career. You can develop these skills if you join one of Pickl.AI\u2019s <\/span><a href=\"https:\/\/www.pickl.ai\/course\/data-analytics-certification-program\"><span style=\"font-weight: 400;\">Data Analytics courses<\/span><\/a><span style=\"font-weight: 400;\">, where you will learn all about statistics and the types of statistical methods effectively.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"Explore the difference between descriptive and Inferential Statistics, types, and real-world applications.\n","protected":false},"author":9,"featured_media":11032,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[292,2346],"tags":[769,776,774,775,772,773,770,771],"ppma_author":[2170,2183],"class_list":{"0":"post-2718","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-data-analysts","8":"category-statistics","9":"tag-descriptive-statistics-vs-inferential-statistics","10":"tag-difference-between-descriptive-and-inferential-statistics","11":"tag-example-of-descriptive-statistics","12":"tag-example-of-inferential-statistics","13":"tag-types-of-descriptive-statistics","14":"tag-types-of-inferential-statistics","15":"tag-what-is-descriptive-statistics","16":"tag-what-is-inferential-statistics"},"yoast_head":"<!-- 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