Sampling Design | Types of Sampling | Probability vs Non Probability Sampling | Research Methodology скачать в хорошем качестве

Sampling Design | Types of Sampling | Probability vs Non Probability Sampling | Research Methodology

Research Methodology Playlist 👇    • Research Methodology || Research Methodolo...   Descriptive Statistics    • Descriptive Statistics   📌 Sampling Design | Probability & Non-Probability Sampling Explained with Examples 🎯 In this video, we cover Sampling Design in detail, including Probability and Non-Probability Sampling methods. Learn when to use each technique, their advantages & disadvantages, and real-world applications. ⏳ Timestamps for Easy Navigation: ▶️ 00:30 - Terminology used in Sampling ▶️ 03:40 - What is Sampling Design and Its Importance? ▶️ 06:12 - What is the Sampling Process? ▶️ 07:00 - What are the Types of Sampling? ▶️ 07:25 - What is Non-Probability Sampling? ▶️ 08:57 - What is Convenience Sampling? ▶️ 10:20 - What is Purposive or Judgment Sampling? ▶️ 11:55 - What is Snowball Sampling and When to Use It? ▶️ 14:25 - What is Quota Sampling? ▶️ 16:32 - What is Probability Sampling? ▶️ 17:41 - What is Simple Random Sampling? ▶️ 20:55 - What is Stratified Random Sampling? ▶️ 24:34 - What is Systematic Sampling? ▶️ 27:36 - What is Cluster Sampling? ▶️ 29:54 - What is Probability Proportional to Size (PPS) Sampling? ▶️ 32:23 - When to Use Probability and Non-Probability Sampling? 🔍 Topics Covered: ✅ Probability Sampling: ✔ Simple Random Sampling ✔ Stratified Random Sampling ✔ Systematic Sampling ✔ Cluster Sampling ✔ Probability Proportional to Size (PPS) Sampling ✅ Non-Probability Sampling: ✔ Convenience Sampling ✔ Purposive/Judgment Sampling ✔ Snowball Sampling ✔ Quota Sampling 📌 Key Highlights: ✅ Definitions & explanations of each sampling method ✅ Practical examples of when to use each technique ✅ Advantages & disadvantages for better decision-making 💡 Perfect for: ✔ Students, Researchers, and Data Analysts ✔ Anyone preparing for exams or conducting surveys/research #statisticsvideolectures #sampling #dataanalysis #statistics 📌 Welcome to Statistics Learning! 📌 🚀 Master Statistics, Research, and Data Analysis with Expert Video Lectures! 🚀 We provide high-quality, structured lectures covering a wide range of topics: 📊 Core Statistics Subjects: ✅ Descriptive & Inferential Statistics – Measures of Central Tendency & Dispersion, Skewness & Kurtosis, Correlation & Regression, and more. ✅ Probability Theory & Distributions – Random Variables, Discrete & Continuous Distributions (Binomial, Poisson, Normal, etc.), Moment Generating Functions. ✅ Statistical Inference – Estimation, Hypothesis Testing, Confidence Intervals, Likelihood Methods, and Bayesian Inference. ✅ Multivariate Analysis – Principal Component Analysis (PCA), Factor Analysis, Discriminant Analysis, Canonical Correlation. ✅ Sampling Theory & Techniques – Simple Random, Stratified, Systematic, and Cluster Sampling, Estimation of Population Parameters. ✅ Statistical Quality Control (SQC) – Control Charts, Process Capability, Six Sigma, and Acceptance Sampling. ✅ Operations Research & Decision Theory – Linear Programming, Game Theory, Markov Chains, and Queuing Models. ✅ Time Series Analysis & Forecasting – ARIMA Models, Smoothing Techniques, Trend & Seasonality Analysis. ✅ Non-Parametric Statistics – Chi-Square, Sign Test, Mann-Whitney U Test, Kruskal-Wallis Test. 💻 Applied Statistics & Data Science: ✅ Data Analysis with SPSS & R – Hands-on tutorials with real-world datasets. ✅ Econometrics & Business Statistics – Regression Models, Panel Data Analysis, and Time Series Models. ✅ Biostatistics – Survival Analysis, Clinical Trials, Epidemiological Studies. ✅ Actuarial Science & Reliability Theory – Risk Models, Life Tables, Failure Rates. ✅ Big Data & Machine Learning Applications – Statistical Modeling in AI & Data Science. 🖥️ Additional Courses: 💡 Research Methodology – Study Designs, Data Collection, Report Writing. 💻 Computer Science & Programming – Python, Data Science, Data Analytics ➕ Mathematics for Statistics – Linear Algebra, Calculus, and Optimization Techniques. 🎯 Why Subscribe? ✅ Learn from structured, practical, and easy-to-follow lectures. ✅ Get free high-quality content for competitive exams like ISS, IAS, SSC, and university courses. ✅ Your subscription = गुरु दक्षिणा! It helps us keep creating free educational content. 💡 Join our learning community & enhance your knowledge in Statistics! 🌐 Explore More: https://maulikanalytics.com