Jasmeen Maradeeyablog.jasmeenmaradeeya.me·6 hours agoTypes Of StatisticsDescriptive Descriptive statistics focuses on organizing and summarizing data so it’s easier to understand. Think of it as a way to simplify data and highlight the key points. Methods of Descriptive Statistics Here are the two main methods used in de...DiscussStatistics For Machine Leaningstatistics
Jasmeen Maradeeyablog.jasmeenmaradeeya.me·7 hours agoUnderstanding Statistics and Its ApplicationsStatistics is all about working with data. It involves collecting, organizing, analyzing, interpreting, and presenting information in a way that makes sense. In simple terms, statistics helps us make sense of the numbers around us. Why Is Statistics ...DiscussStatistics For Machine LeaningMachine Learning
Sai Prasanna Maharanasaimaharana.hashnode.dev·Nov 19, 2024Understanding Autocorrelation: An In-Depth GuideAutocorrelation is a fundamental concept in time series analysis and statistics. It measures the similarity between a time series and a lagged version of itself over successive time intervals. This guide aims to provide an in-depth understanding of a...DiscussTime-Seriestime series
vereigen mediavereigenmedia.hashnode.dev·Nov 14, 2024Unlocking the Power of Opening Sentences: Do’s and Don’ts Backed by StatisticsCraft irresistible opening sentences, learn strategies to hook your audience, avoid pitfalls, and maximize engagement. In the vast expanse of content that floods our digitally daily, the opening sentence of an article holds an extraordinary amount o...Discussopening sentences
Anix LynchProanixblog.hashnode.dev·Nov 14, 2024Anova Excel VS Python (scipy.stats)TL;DR: If p-value > 0.05: This means the difference in scores between students could just be random, so we say there’s no significant effect. Use Case: Comparing Student Scores: You want to see if there’s a real difference in the average scores of ...Discussstatistics
Anix LynchProanixblog.hashnode.dev·Nov 14, 2024P-Value Excel vs Python (scipy.stats)TL;DR: If p-value > 0.05: This means the difference could just be random, so we say there’s no significant effect of the diet on weight. Use Case: Diet Effectiveness Study: You want to see if a new diet actually helps people lose weight. To check, ...Discussstatistics
Anix LynchProanixblog.hashnode.dev·Nov 14, 2024Z test w/ excel VS Python (scipy.stats)TL;DR: If the p-value > 0.05, the difference could be due to random chance, so we say there’s no significant effect between Student 1 and Student 2’s scores. z-test: Typically used when the sample size is large (n > 30). t-test: Commonly used when...Discussexcel
Anix LynchProanixblog.hashnode.dev·Nov 14, 2024T-Test w/ Excel VS Python (Scipy)TLDR: If p-value > 0.05: This means the difference could just be random, so we say there’s no significant effect Use Case: A/B Testing for Marketing: You want to see if a new ad brings in more clicks than the old one. So, you compare the average cl...Discussstatistics
Pyari Kumaranpyari.hashnode.dev·Nov 10, 2024Stats Refresher - Bernoulli and Binomial DistributionsBernoulli Random Variable Let us take an example of a coin toss. A coin toss has only two possible outcomes. The result can be either a head or a tail. A coin toss is an example of a Bernoulli random variable. Coin toss of a fair or unbiased coin can...Discuss·1 like·34 readsstatistics
Anix LynchProanixblog.hashnode.dev·Nov 5, 2024Part 3: 11 Statistical Foundations and Evaluation Techniques with Math Notation Friendly Explained1. Bias-Variance Tradeoff The Bias-Variance Tradeoff is a fundamental concept in machine learning that deals with balancing a model’s simplicity and complexity to achieve good generalization to new data. This tradeoff is about finding the sweet spot ...Discussstatistics
