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𝐓𝐢𝐦𝐞𝐋𝐢𝐧𝐞:
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00:00 Introduction
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04:38 Introduction to Statistics
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10:33 Types of Data & Statistical Analysis
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11:13 Descriptive Statistics Overview
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19:25 Inferential Statistics Overview
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22:11 Qualitative Data
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30:48 Quantitative Data
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35:08 Sampling Techniques
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36:48 Population vs Sample
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40:38 Why is Sampling important
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44:02 Types of Sampling
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47:38 Cluster Random Sampling
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52:53 Probability Sampling
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1:01:04 Non Probability Sampling
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1:06:26 Population Sampling
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1:14:41 Why n and n-1
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1:19:50 Descriptive Statistics
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1:21:00 Measures of Central Tendency
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1:23:33 Mean
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1:29:08 Median
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1:36:18 Mode
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1:41:00 Measures of Dispersion
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1:45:25 Range
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1:47:12 IQR
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1:52:06 Variance & Standard Deviation
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2:02:04 Mean Deviation
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2:06:20 Probability
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2:07:25 What is Probability
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2:14:37 Addition Rule in Probability
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2:21:57 Independent Events in Probability
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2:26:40 Cumulative Probability
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2:31:11 Conditional Probability
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2:39:10 Bayes Theorem
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2:46:20 Probability Distribution
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2:48:29 Uniform Distribution
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2:56:35 Binomial Distribution
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3:09:25 Poisson Distribution
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3:12:59 Normal Distribution
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3:31:14 Skewness
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3:36:09 Kurtosis
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3:38:48 Calculating Probability with Z-Score for Normal Distribution
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3:55:23 Covariance & Correlation
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3:55:56 Covariance
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4:08:07 Correlation
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4:24:16 Correlation vs Covariance
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4:28:17 Inferential Statistics
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4:28:18 What is Hypothesis Testing
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4:35:21 p-value
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4:39:38 T-Test
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4:47:15 Tailed Tests
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4:49:55 Types of Test
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4:58:21 Z-Test
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05:07:49 Chi-Square Test
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05:16:50 ANOVA Test
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05:25:50 Correlation Test
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