#basicstatistical search results
🇩🇪 Wir können den Stichproben, die aus einer bestimmten Grundgesamtheit gezogen werden können, Wahrscheinlichkeiten zuordnen. Z. B.: Wir teilen die Anzahl aller Stichproben vom Umfang 3 mit 2 roten Kugeln - also der (3; 2)-Stichproben - durch die Anzahl aller möglichen…
When it comes to Mathematics, Algebra + Calculus + Statistics + Geometry + Trigonometry You need JUST these 2 channels. Absolute beginner friendly.
Majority of measurable quantities in our day-to-day life follow normal distribution. Example : length, height, weight, test scores etc. So by fitting a normal curve onto the data, we can easily get desired probabilities. Like probability of getting accepted or rejected if the…
Key Statistical Terminology 1. Hypothesis and P-value In any clinical trial, the null hypothesis assumes there is no difference between treatment groups. The P-value represents the probability of observing a difference at least as extreme as the one seen, if the null hypothesis…
It took me 10 years to master all 24 of these statistics concepts. In the next 24 days, I'll teach them to you one by one (with examples of how I've used them in business cases). Here's what's coming: 1. Probability Distribution 2. Regression 3. Hypothesis Testing 4. Central…
Data Literacy Basics - Part 1 Below are five foundational concepts that EVERYONE should understand (in no particular order). Also, let me know what you would add. 1. Outliers rarely disprove trends. I see this a lot. People, when presented with a statistic, will often try and…
The single biggest argument about statistics: is probability frequentist or Bayesian? It's neither, and I'll explain why. Buckle up. Deep-dive explanation incoming.
It took me 10 years to master all 24 of these statistics concepts. In the next 24 days, I'll teach them to you one by one (with examples of how I've used them in business contexts). Here's what's coming: 1. Probability Distribution 2. Regression 3. Hypothesis Testing 4. Central…
A guide on how to select the appropriate statistical test based on the type of research question and data. instagram.com/p/DQaj5A2Eune/…
Staring at your data wondering how to present? Save yourself the pain by saving this guide ⤵️ Your data tells you what it wants to be: → Comparing categories? Bar charts work great → Showing change over time? Line charts are your friend → Looking for relationships? Scatter…
Half of teams think baseline data is the first step in evidence-based work. But many skip it, leading to assumptions, not insights. Should data always come first, or does context dictate the start? #EvidenceBased #SocialImpact #DataDriven
Confused about what statistical test to choose for your basic data analysis? Here is a simple guide: ⬇️
The single biggest argument about statistics: is probability frequentist or Bayesian? It's neither, and I'll explain why. Buckle up. Deep-dive explanation incoming.
Linear Regression is one of the most important tools in a Data Scientist's toolbox. Here's everything you need to know in 3 minutes. 1. OLS regression aims to find the best-fitting linear equation that describes the relationship between the dependent variable (often denoted as…
day 1️⃣ – INTRO TO STATISTICS. Statistics simply deals with collective, analysis and presentation of data. Statistics can be divided into two categories: · Descriptive statistics · Inferential statistics
#idontappreciate any #idiot without knowledge in #basicstatistical analysis
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