{"id":6098,"date":"2023-10-18T14:47:43","date_gmt":"2023-10-18T14:47:43","guid":{"rendered":"https:\/\/royadata.io\/blog\/?p=6098"},"modified":"2023-10-18T14:47:43","modified_gmt":"2023-10-18T14:47:43","slug":"statistical-analysis-methods","status":"publish","type":"post","link":"http:\/\/royadata.io\/blog\/statistical-analysis-methods\/","title":{"rendered":"Statistical Analysis Methods: 6 Statistical Methods for Analysis Must Master!"},"content":{"rendered":"<blockquote>\n<p>Are you new to statistical analysis? Come in now and discover the popular statistical analysis methods you can use to analyze your data set and discover patterns, trends, relationships.<\/p>\n<\/blockquote>\n<p><picture class=\"aligncenter size-full wp-image-6095 perfmatters-lazy\" loading=\"lazy\"><source type=\"image\/webp\" data-srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Statistical-Analysis-Methods.jpg.webp 1000w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Statistical-Analysis-Methods-300x167.jpg.webp 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Statistical-Analysis-Methods-768x426.jpg.webp 768w\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns='http:\/\/www.w3.org\/2000\/svg'%20viewBox='0%200%201000%20555'%3E%3C\/svg%3E\" data-sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><img decoding=\"async\" src=\"data:image\/svg+xml,%3Csvg%20xmlns='http:\/\/www.w3.org\/2000\/svg'%20viewBox='0%200%201000%20555'%3E%3C\/svg%3E\" alt=\"Statistical Analysis Methods\" width=\"1000\" height=\"555\" data-src=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Statistical-Analysis-Methods.jpg\" data-srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Statistical-Analysis-Methods.jpg 1000w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Statistical-Analysis-Methods-300x167.jpg 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Statistical-Analysis-Methods-768x426.jpg 768w\" data-sizes=\"(max-width: 1000px) 100vw, 1000px\" loading=\"lazy\" \/>\n<\/picture>\n<noscript><picture class=\"aligncenter size-full wp-image-6095\"><source type=\"image\/webp\" srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Statistical-Analysis-Methods.jpg.webp 1000w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Statistical-Analysis-Methods-300x167.jpg.webp 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Statistical-Analysis-Methods-768x426.jpg.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\"\/><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Statistical-Analysis-Methods.jpg\" alt=\"Statistical Analysis Methods\" width=\"1000\" height=\"555\" srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Statistical-Analysis-Methods.jpg 1000w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Statistical-Analysis-Methods-300x167.jpg 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Statistical-Analysis-Methods-768x426.jpg 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\"\/>\n<\/picture>\n<\/noscript><\/p>\n<p>In the past, we were posed with the problem of the availability of data. This is no longer the situation. With the advent of technology, generating and compiling data is now easy, fast, and stress-free.<\/p>\n<p>The problem has now shifted from the availability of data to what you use the data for. More than ever, humans and the devices they make use of generates more than 2.5 quintillion bytes of data daily. Even though the data set of interest to you is not anywhere near this number, I bet you won\u2019t be able to draw any reasonable and valid conclusion by merely looking at a spreadsheet of data.<\/p>\n<p>For you to get any insight from data, you will need to analyze it using statistical methods. In this article, you are going to be learning about statistical analysis and methods and how to use them to analyze data. Before moving into the discussion of the numerous statistical analysis methods, let take a look at an overview of statistical analysis.<\/p>\n<hr\/>\n<pre style=\"text-align: center;\"><strong>What is Statistical Analysis?<\/strong><\/pre>\n<p>Statistical analysis is the process of uncovering patterns and trends from a set of data. After a data set has been collected, one cannot make any sense from the heap of unprocessed data. A data collection is processed so that insights can be gotten from it, which can be used for making decisions. The processing of raw data to transform them into a more meaningful piece of information that can be acted upon is what is known as statistical analysis \u2013 the analysis of data to draw out statistical conclusions.<\/p>\n<div class=\"su-youtube su-u-responsive-media-yes\">\n<div class=\"perfmatters-lazy-youtube\" data-src=\"https:\/\/www.youtube.com\/embed\/4M-cx8jV2aI\" data-id=\"4M-cx8jV2aI\" data-query onclick=\"if (!window.__cfRLUnblockHandlers) return false; perfmattersLazyLoadYouTube(this);\" data-cf-modified-e09a831336e94d70e3d31d27->\n<div><img loading=\"lazy\" decoding=\"async\" class=\"perfmatters-lazy\" src=\"data:image\/svg+xml,%3Csvg%20xmlns='http:\/\/www.w3.org\/2000\/svg'%20viewBox='0%200%20480%20360%3E%3C\/svg%3E\" data-src=\"https:\/\/i.ytimg.com\/vi\/4M-cx8jV2aI\/hqdefault.jpg\" alt=\"YouTube video\" width=\"480\" height=\"360\" data-pin-nopin=\"true\"><\/p>\n<div class=\"play\"><\/div>\n<\/div>\n<\/div>\n<p><noscript><iframe loading=\"lazy\" width=\"600\" height=\"400\" src=\"https:\/\/www.youtube.com\/embed\/4M-cx8jV2aI?\" frameborder=\"0\" allowfullscreen allow=\"autoplay; encrypted-media; picture-in-picture\" title=\"\"><\/iframe><\/noscript><\/div>\n<p>What can statistical analysis do for us? Statistical analysis can be used to summarize data, find key measures of location, otherwise known as a measurement of central tendency, calculate the measurement of spread, make future predictions, and test experiments. Statistical analysis is scientific in nature and interestingly being used in most scientific disciplines that deal with data, including the social sciences.<\/p>\n<hr\/>\n<pre style=\"text-align: center;\"><strong>Statistical Methods Used for Statistical Analysis<\/strong><\/pre>\n<p>When confronted with a set of data to carry out statistical analysis on, you will have to select the best statistical method to use for the analysis. There are many statistical analysis methods you can use on statistical data. Let take a look at some of these methods below.<\/p>\n<hr\/>\n<h2 id=\"measurement-of-central-tendency\" class=\"ftwp-heading\" style=\"text-align: center;\"><span class=\"ez-toc-section\" id=\"Measurement_of_Central_Tendency\"><\/span><strong>Measurement of Central Tendency<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><picture class=\"aligncenter size-full wp-image-6085 perfmatters-lazy\" loading=\"lazy\"><source type=\"image\/webp\" data-srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Measurement-of-Central-Tendency.jpg.webp 1000w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Measurement-of-Central-Tendency-300x160.jpg.webp 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Measurement-of-Central-Tendency-768x409.jpg.webp 768w\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns='http:\/\/www.w3.org\/2000\/svg'%20viewBox='0%200%201000%20533'%3E%3C\/svg%3E\" data-sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><img decoding=\"async\" src=\"data:image\/svg+xml,%3Csvg%20xmlns='http:\/\/www.w3.org\/2000\/svg'%20viewBox='0%200%201000%20533'%3E%3C\/svg%3E\" alt=\"Measurement of Central Tendency\" width=\"1000\" height=\"533\" data-src=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Measurement-of-Central-Tendency.jpg\" data-srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Measurement-of-Central-Tendency.jpg 1000w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Measurement-of-Central-Tendency-300x160.jpg 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Measurement-of-Central-Tendency-768x409.jpg 768w\" data-sizes=\"(max-width: 1000px) 100vw, 1000px\" loading=\"lazy\" \/>\n<\/picture>\n<noscript><picture class=\"aligncenter size-full wp-image-6085\"><source type=\"image\/webp\" srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Measurement-of-Central-Tendency.jpg.webp 1000w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Measurement-of-Central-Tendency-300x160.jpg.webp 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Measurement-of-Central-Tendency-768x409.jpg.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\"\/><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Measurement-of-Central-Tendency.jpg\" alt=\"Measurement of Central Tendency\" width=\"1000\" height=\"533\" srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Measurement-of-Central-Tendency.jpg 1000w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Measurement-of-Central-Tendency-300x160.jpg 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Measurement-of-Central-Tendency-768x409.jpg 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\"\/>\n<\/picture>\n<\/noscript><\/p>\n<p>The measurement of central tendency is summarized statistics showing the center point of a dataset. These measures show where most values fall in a distribution. There are 3 methods for measuring central tendency \u2013 mean, median, and mode.\u00a0 You can use these 3 measures to locate the center of your data.<\/p>\n<ul>\n<li>\n<h3 id=\"mean\" class=\"ftwp-heading\"><span class=\"ez-toc-section\" id=\"Mean\"><\/span><strong>Mean<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<\/li>\n<\/ul>\n<p>Also known as the average mean, the mean is the most popular measure of central tendency \u2013 and the one most data scientist and statisticians are used to. The mean is the sum of a list of numbers divided by the number of items on the list. While the mean is very easy to calculate, outliers can mess up your mean value. Using the mean only can be dangerous. If your data set is not a normal distribution but skewed, the mean is not the best.<\/p>\n<ul>\n<li>\n<h3 id=\"median\" class=\"ftwp-heading\"><span class=\"ez-toc-section\" id=\"Median\"><\/span><strong>Median<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<\/li>\n<\/ul>\n<p>The median is simply the middle value. This value is the value that divides the data set into two equal halves. To find this value, arrange the values from the smallest to the largest and pick the middle value. The median is easy to calculate when the number of values is odd, as all you have to do is to pick the middle number. For a data collection with an even number of data set, you will have to pick the two in the middle and find the average. Unlike the mean, the median does not get affected by outliers and skewed data. The median is used for skewed distribution.<\/p>\n<ul>\n<li>\n<h3 id=\"mode\" class=\"ftwp-heading\"><span class=\"ez-toc-section\" id=\"Mode\"><\/span><strong>Mode<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<\/li>\n<\/ul>\n<p>The mode measure of central tendency is used for categorical data, probability distribution, count data, and ordinal data. The mode is simply the value that appears the most in a collection of data. You can have more than one mode or not even a mode value in all.<\/p>\n<hr\/>\n<h2 id=\"standard-deviation\" class=\"ftwp-heading\" style=\"text-align: center;\"><span class=\"ez-toc-section\" id=\"Standard_Deviation\"><\/span><strong>Standard Deviation<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>While the measure of central tendency reveals the center point of a data set, the standard deviation reveals the measure of spread around the mean (central tendency). This statistical analysis method shows how much the members of a group differ from the mean value for the group. It is simply the deviation from the standard (mean). A low standard deviation shows that the values are close to the mean \u2013 which is the expected value. When the value for the standard deviation is high, this shows that there is a wide difference between the mean and the values.<\/p>\n<p><picture class=\"aligncenter wp-image-6087 perfmatters-lazy\" loading=\"lazy\"><source type=\"image\/webp\" data-srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Standard-Deviation.jpg.webp 1114w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Standard-Deviation-300x137.jpg.webp 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Standard-Deviation-1024x466.jpg.webp 1024w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Standard-Deviation-768x350.jpg.webp 768w\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns='http:\/\/www.w3.org\/2000\/svg'%20viewBox='0%200%201000%20455'%3E%3C\/svg%3E\" data-sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><img decoding=\"async\" src=\"data:image\/svg+xml,%3Csvg%20xmlns='http:\/\/www.w3.org\/2000\/svg'%20viewBox='0%200%201000%20455'%3E%3C\/svg%3E\" alt=\"Standard Deviation\" width=\"1000\" height=\"455\" data-src=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Standard-Deviation.jpg\" data-srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Standard-Deviation.jpg 1114w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Standard-Deviation-300x137.jpg 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Standard-Deviation-1024x466.jpg 1024w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Standard-Deviation-768x350.jpg 768w\" data-sizes=\"(max-width: 1000px) 100vw, 1000px\" loading=\"lazy\" \/>\n<\/picture>\n<noscript><picture class=\"aligncenter wp-image-6087\"><source type=\"image\/webp\" srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Standard-Deviation.jpg.webp 1114w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Standard-Deviation-300x137.jpg.webp 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Standard-Deviation-1024x466.jpg.webp 1024w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Standard-Deviation-768x350.jpg.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\"\/><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Standard-Deviation.jpg\" alt=\"Standard Deviation\" width=\"1000\" height=\"455\" srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Standard-Deviation.jpg 1114w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Standard-Deviation-300x137.jpg 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Standard-Deviation-1024x466.jpg 1024w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Standard-Deviation-768x350.jpg 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\"\/>\n<\/picture>\n<\/noscript><\/p>\n<p>When you have a normal or near-normal distribution without outliers, the standard deviation can be trusted. But in situations where there are a large number of outliers and strange data patterns, then the value for the standard deviation can be deceptive and misleading and, as such, cannot be trusted.<\/p>\n<hr\/>\n<h2 id=\"sample-size-determination\" class=\"ftwp-heading\" style=\"text-align: center;\"><span class=\"ez-toc-section\" id=\"Sample_Size_Determination\"><\/span><strong>Sample Size Determination <\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>When dealing with a large population, it becomes difficult for you to take a record of all items in a population in other to carry out analysis on them. Fortunately, for us, a sample can provide an accurate estimate of what a population looks likes.<\/p>\n<p>By strategically carrying out your research on a subsect of a population, you can get the required result should you use the whole population. The sample size, the subsect of a population you can use for your research, is not selected haphazardly \u2013 there are laid down rules you can use to determine the sample size for your research.<\/p>\n<p><picture class=\"aligncenter wp-image-6088 perfmatters-lazy\" loading=\"lazy\"><source type=\"image\/webp\" data-srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Sample-Size-Determination.jpg.webp 1051w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Sample-Size-Determination-300x152.jpg.webp 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Sample-Size-Determination-1024x517.jpg.webp 1024w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Sample-Size-Determination-768x388.jpg.webp 768w\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns='http:\/\/www.w3.org\/2000\/svg'%20viewBox='0%200%201000%20505'%3E%3C\/svg%3E\" data-sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><img decoding=\"async\" src=\"data:image\/svg+xml,%3Csvg%20xmlns='http:\/\/www.w3.org\/2000\/svg'%20viewBox='0%200%201000%20505'%3E%3C\/svg%3E\" alt=\"Sample Size Determination\" width=\"1000\" height=\"505\" data-src=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Sample-Size-Determination.jpg\" data-srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Sample-Size-Determination.jpg 1051w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Sample-Size-Determination-300x152.jpg 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Sample-Size-Determination-1024x517.jpg 1024w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Sample-Size-Determination-768x388.jpg 768w\" data-sizes=\"(max-width: 1000px) 100vw, 1000px\" loading=\"lazy\" \/>\n<\/picture>\n<noscript><picture class=\"aligncenter wp-image-6088\"><source type=\"image\/webp\" srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Sample-Size-Determination.jpg.webp 1051w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Sample-Size-Determination-300x152.jpg.webp 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Sample-Size-Determination-1024x517.jpg.webp 1024w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Sample-Size-Determination-768x388.jpg.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\"\/><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Sample-Size-Determination.jpg\" alt=\"Sample Size Determination\" width=\"1000\" height=\"505\" srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Sample-Size-Determination.jpg 1051w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Sample-Size-Determination-300x152.jpg 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Sample-Size-Determination-1024x517.jpg 1024w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Sample-Size-Determination-768x388.jpg 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\"\/>\n<\/picture>\n<\/noscript><\/p>\n<p>There are many ways in which you can decide the size of your sample. One of the ways in which you can determine sample size is by using the proportion and standard deviation methods. If you\u2019re looking for a step by step guide on how to accurately determine sample size from a population, you can check out this guide on <a href=\"https:\/\/www.wikihow.com\/Calculate-Sample-Size\"  rel=\"noopener noreferrer\">WikiHow on how to get it done<\/a>. There\u2019s no doubt about sample size being an important tool for research in situations where population size is large. However, you need to be careful when using it, especially when dealing with untested or new variables in a population. This is because you\u2019ll be making an assumption which, if wrong, can mess up your result.<\/p>\n<hr\/>\n<h2 id=\"linear-regression\" class=\"ftwp-heading\" style=\"text-align: center;\"><span class=\"ez-toc-section\" id=\"Linear_Regression\"><\/span><strong>Linear Regression<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Linear Regression is another very important statistical analysis method you should be familiar with. The regression model is used for showing the relationship between dependent variable values independent and independent variables, otherwise known as explanatory variables.<\/p>\n<p>The dependent variable is your data of interest. Regression is used for determining the extent of change in a dependent variable with a change in an independent variable. Thisstatistical analysis can be used to answer questions such as what will be my monthly spending next year? How correlated is monthly income and standard of living?<\/p>\n<p><picture class=\"aligncenter size-full wp-image-6090 perfmatters-lazy\" loading=\"lazy\"><source type=\"image\/webp\" data-srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Linear-Regression.jpg.webp 1000w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Linear-Regression-300x158.jpg.webp 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Linear-Regression-768x403.jpg.webp 768w\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns='http:\/\/www.w3.org\/2000\/svg'%20viewBox='0%200%201000%20525'%3E%3C\/svg%3E\" data-sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><img decoding=\"async\" src=\"data:image\/svg+xml,%3Csvg%20xmlns='http:\/\/www.w3.org\/2000\/svg'%20viewBox='0%200%201000%20525'%3E%3C\/svg%3E\" alt=\"Linear Regression\" width=\"1000\" height=\"525\" data-src=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Linear-Regression.jpg\" data-srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Linear-Regression.jpg 1000w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Linear-Regression-300x158.jpg 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Linear-Regression-768x403.jpg 768w\" data-sizes=\"(max-width: 1000px) 100vw, 1000px\" loading=\"lazy\" \/>\n<\/picture>\n<noscript><picture class=\"aligncenter size-full wp-image-6090\"><source type=\"image\/webp\" srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Linear-Regression.jpg.webp 1000w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Linear-Regression-300x158.jpg.webp 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Linear-Regression-768x403.jpg.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\"\/><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Linear-Regression.jpg\" alt=\"Linear Regression\" width=\"1000\" height=\"525\" srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Linear-Regression.jpg 1000w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Linear-Regression-300x158.jpg 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Linear-Regression-768x403.jpg 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\"\/>\n<\/picture>\n<\/noscript><\/p>\n<p>The relationship can be represented in a scatterplot chart. There are basically two types of Linear Regression \u2013Simple Linear Regression and Multiple Linear Regression. Aside from the fact that regression analysis charts show how weak or strong the relationship between variables, regression charts can also reveal a trend\/pattern over time and use for making data-based predictions.<\/p>\n<p>However, you have to be careful when dealing with outliers in regression modeling. Outliers aren\u2019t distinctive in regression. This then means that you\u2019ll have to take note to avoid regarding important data points as outliers. Without making an effort, the chart will want you to disregard the outliers and focus on the other data points.<\/p>\n<hr\/>\n<h2 id=\"classification\" class=\"ftwp-heading\" style=\"text-align: center;\"><span class=\"ez-toc-section\" id=\"Classification\"><\/span><strong>Classification<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>If you have a large dataset, you might want to consider classifying them into groups to make analysis effective. In statistical learning and Machine Learning, classification can be seen as the method of assigning classes to datasets in order to aid in more accurate predictions and analysis. This method is used mostly on a large collection of data.<\/p>\n<p>Classification is sometimes known as a decision tree. There are basically two types of classification. There are basically two techniques to classification \u2013 Logistic Regression and Discriminant Analysis.<\/p>\n<p><picture class=\"aligncenter wp-image-6092 perfmatters-lazy\" loading=\"lazy\"><source type=\"image\/webp\" data-srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Classification.png.webp 1200w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Classification-300x164.png.webp 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Classification-1024x559.png.webp 1024w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Classification-768x419.png.webp 768w\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns='http:\/\/www.w3.org\/2000\/svg'%20viewBox='0%200%201000%20546'%3E%3C\/svg%3E\" data-sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><img decoding=\"async\" src=\"data:image\/svg+xml,%3Csvg%20xmlns='http:\/\/www.w3.org\/2000\/svg'%20viewBox='0%200%201000%20546'%3E%3C\/svg%3E\" alt=\"Classification\" width=\"1000\" height=\"546\" data-src=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Classification.png\" data-srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Classification.png 1200w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Classification-300x164.png 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Classification-1024x559.png 1024w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Classification-768x419.png 768w\" data-sizes=\"(max-width: 1000px) 100vw, 1000px\" loading=\"lazy\" \/>\n<\/picture>\n<noscript><picture class=\"aligncenter wp-image-6092\"><source type=\"image\/webp\" srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Classification.png.webp 1200w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Classification-300x164.png.webp 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Classification-1024x559.png.webp 1024w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Classification-768x419.png.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\"\/><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Classification.png\" alt=\"Classification\" width=\"1000\" height=\"546\" srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Classification.png 1200w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Classification-300x164.png 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Classification-1024x559.png 1024w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Classification-768x419.png 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\"\/>\n<\/picture>\n<\/noscript><\/p>\n<p>Logistic regression is a classification algorithm used when the value of the target variable is categorical in nature. Logistic regression is most commonly used when the data in question has binary output, so when it belongs to one class or another, or is either a 0 or 1. Discriminant analysis is a statistical technique used to classify observations into non-overlapping groups, based on scores on one or more quantitative predictor variables.<\/p>\n<hr\/>\n<h2 id=\"hypothesis-testing\" class=\"ftwp-heading\" style=\"text-align: center;\"><span class=\"ez-toc-section\" id=\"Hypothesis_Testing\"><\/span><strong>Hypothesis Testing<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Another important statistical method you should know is hypothesis testing. Hypothesis testing is a statistical inference method used for statistical testing hypotheses. In statistics, there are basically two types of hypotheses. These include the null hypothesis and the alternative hypothesis. The null hypothesis asserts that no relationship exists among variables or that no change occurred over time.<\/p>\n<p>The alternative hypothesis is simply a hypothesis statement that contradicts the null hypothesis. If a null hypothesis states that defendant A is not guilty, the alternative hypothesis statement will state that defendant A is guilty.<\/p>\n<p><picture class=\"aligncenter wp-image-6093 perfmatters-lazy\" loading=\"lazy\"><source type=\"image\/webp\" data-srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Hypothesis-Testing.jpg.webp 1311w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Hypothesis-Testing-300x151.jpg.webp 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Hypothesis-Testing-1024x515.jpg.webp 1024w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Hypothesis-Testing-768x386.jpg.webp 768w\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns='http:\/\/www.w3.org\/2000\/svg'%20viewBox='0%200%201000%20503'%3E%3C\/svg%3E\" data-sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><img decoding=\"async\" src=\"data:image\/svg+xml,%3Csvg%20xmlns='http:\/\/www.w3.org\/2000\/svg'%20viewBox='0%200%201000%20503'%3E%3C\/svg%3E\" alt=\"Hypothesis Testing\" width=\"1000\" height=\"503\" data-src=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Hypothesis-Testing.jpg\" data-srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Hypothesis-Testing.jpg 1311w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Hypothesis-Testing-300x151.jpg 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Hypothesis-Testing-1024x515.jpg 1024w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Hypothesis-Testing-768x386.jpg 768w\" data-sizes=\"(max-width: 1000px) 100vw, 1000px\" loading=\"lazy\" \/>\n<\/picture>\n<noscript><picture class=\"aligncenter wp-image-6093\"><source type=\"image\/webp\" srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Hypothesis-Testing.jpg.webp 1311w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Hypothesis-Testing-300x151.jpg.webp 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Hypothesis-Testing-1024x515.jpg.webp 1024w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Hypothesis-Testing-768x386.jpg.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\"\/><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Hypothesis-Testing.jpg\" alt=\"Hypothesis Testing\" width=\"1000\" height=\"503\" srcset=\"https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Hypothesis-Testing.jpg 1311w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Hypothesis-Testing-300x151.jpg 300w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Hypothesis-Testing-1024x515.jpg 1024w, https:\/\/royadata.io\/blog\/wp-content\/uploads\/2023\/10\/Hypothesis-Testing-768x386.jpg 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\"\/>\n<\/picture>\n<\/noscript><\/p>\n<p>The null hypothesis is the status quo and remains until the alternative hypothesis is proven beyond a reasonable doubt, after which, the null hypothesis is rejected, and the alternative hypothesis is accepted. Failure to prove the alternative hypothesis and reject the null hypothesis could lead to a form of contradiction that will lead to further test for errors known as the Type II error. To learn more about hypothesis testing, <a href=\"https:\/\/en.m.wikipedia.org\/wiki\/Statistical_hypothesis_testing\"  rel=\"noopener noreferrer\">read the statistical hypothesis testing page on Wikipedia<\/a>.<\/p>\n<pre style=\"text-align: center;\"><strong>Conclusion<\/strong><\/pre>\n<p>Statistical analysis is actually very important. Without it, data is just data and nothing \u2013 you can\u2019t make sense out of it. With statistical analysis methods, you can comb into data, breathe into it, discover patterns, and pinpoint trends. The methods above are some of the popular methods used for statistical analysis.<\/p>\n<hr\/>\n<p>Related,<\/p>\n<ul>\n<li><a href=\"https:\/\/royadata.io\/blog\/data-analysis-tools\/\">Data Analysis Tools for No Coding Skills &#038; Big Data Analysis for Coders!<\/a><\/li>\n<li><a href=\"https:\/\/royadata.io\/blog\/data-visualization-tools\/\">The Best Data Visualization Tools for non-coders<\/a><\/li>\n<li><a href=\"https:\/\/royadata.io\/blog\/how-to-collect-big-data\/\">How to Collect Big Data?<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Are you new to statistical analysis? Come in now and discover the popular statistical analysis methods you can use to analyze your data set and discover patterns, trends, relationships. In the past, we were posed with the problem of the availability of data. This is no longer the situation. With the advent of technology, generating &#8230; <a title=\"Statistical Analysis Methods: 6 Statistical Methods for Analysis Must Master!\" class=\"read-more\" href=\"http:\/\/royadata.io\/blog\/statistical-analysis-methods\/\" aria-label=\"More on Statistical Analysis Methods: 6 Statistical Methods for Analysis Must Master!\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":285,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"_links":{"self":[{"href":"http:\/\/royadata.io\/blog\/wp-json\/wp\/v2\/posts\/6098"}],"collection":[{"href":"http:\/\/royadata.io\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/royadata.io\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/royadata.io\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/royadata.io\/blog\/wp-json\/wp\/v2\/comments?post=6098"}],"version-history":[{"count":0,"href":"http:\/\/royadata.io\/blog\/wp-json\/wp\/v2\/posts\/6098\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/royadata.io\/blog\/wp-json\/wp\/v2\/media\/285"}],"wp:attachment":[{"href":"http:\/\/royadata.io\/blog\/wp-json\/wp\/v2\/media?parent=6098"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/royadata.io\/blog\/wp-json\/wp\/v2\/categories?post=6098"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/royadata.io\/blog\/wp-json\/wp\/v2\/tags?post=6098"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}