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David Heywood
Приєднався 10 гру 2020
3.5 Inference on Multiple Means
00:00:00 Introduction
00:01:20 Independent and Dependent Sampling, Example 1
00:07:03 The Two-Sample T Test, Example 2
00:19:40 Example 3
00:30:35 The Matched Pairs T Test
00:32:20 Example 4
00:42:20 Example 5
00:58:32 The ANOVA Test
01:04:40 Example 6
01:20:00 Example 7
01:33:00 Summary
00:01:20 Independent and Dependent Sampling, Example 1
00:07:03 The Two-Sample T Test, Example 2
00:19:40 Example 3
00:30:35 The Matched Pairs T Test
00:32:20 Example 4
00:42:20 Example 5
00:58:32 The ANOVA Test
01:04:40 Example 6
01:20:00 Example 7
01:33:00 Summary
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Відео
3.6 Support: Graphs of Linear Equations
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3.6 Support: Graphs of Linear Equations
3.4 Inference on Multiple Proportions
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VIDEO CHAPTERS 00:00:00 Introduction 00:02:32 The Two-Sample Proportion Test 00:09:10 Example 1 00:27:30 Example 2 00:40:46 The Goodness-of-Fit Test 00:46:00 Example 3 00:58:07 Example 4 01:05:55 Homogeneity of Proportions Test 1:11:40 Example 5 01:19:25 Quick note on homogeneity and independence 01:20:30 Example 6 1:27:37 Summary
3.3 Confidence Intervals
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VIDEO CHAPTERS 00:00:00 Statistical and Practical Significance 00:02:26 Confidence Intervals Example 1 (Proportion) 00:19:11 Confidence Intervals Example 2 (Mean) 00:28:52 Using Confidence Intervals with Hypothesis Tests 00:33:55 Example 3 (Proportion, both statistical and practical significance) 00:47:00 Example 4 (Mean, statistically significant but not practically significant) 01:00:35 Examp...
3.2 One-Sample Hypothesis Testing: Mean
Переглядів 10514 днів тому
VIDEO CHAPTERS 00:00 Introduction 01:55 The p-value for a One-Sample Mean Test 09:45 Student's T-distribution, revisited, Example 1 16:54 Using Technology to Streamline p-value Computations, Example 2 (mean) 25:50 Example 3 (mean) 33:03 Example 4 (proportion) 39:52 Example 5 (proportion)
3.1 One-Sample Hypothesis Testing: Proportion
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VIDEO CHAPTERS 00:00:00 Introduction 00:06:32 Null and Alternative Hypotheses 00:15:19 Do Ducks Like Green Bread? 00:25:30 The p-value 00:40:38 The Level of Significance 00:47:35 Writing Conclusions to Hypothesis Tests 00:53:15 Summary, Example 5 01:01:18 Summary, Example 6
3.1 Support: Review of Rounding and Comparing Decimals
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3.1 Support: Review of Rounding and Comparing Decimals
2.5 Support: Translating English into Inequalities
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2.5 Support: Translating English into Inequalities
2.10 Unit 2 Summary
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VIDEO CHAPTERS 0:00 The Basics of Probability 5:17 "And" and "Or" probabilities 6:58 Example 3 17:30 Example 4 26:35 Probability Distributions 28:35 Example 5 32:37 Example 6 36:07 Example 7 43:30 Example 8 47:45 Sampling Distributions 48:35 Example 9 52:57 Example 10
2.9 Sampling Distributions and the Central Limit Theorem
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VIDEO CHAPTERS 0:00:00 The Sampling Distribution of the Sample Mean 0:05:26 Example 1 0:11:55 Example 2 0:22:52 Example 3 0:33:33 Proof(ish) of the Central Limit Theorem for the Sample Mean 0:44:25 The Sampling Distribution of the Sample Proportion 0:47:18 Example 4 0:53:28 Example 5 1:02:13 Binomial versus Sampling Distribution of p hat 1:03:58 Example 6 1:09:58 Proof(ish) of the Central Limit...
2.8 Other Probability Distributions
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VIDEO CHAPTERS 0:00 Introduction 0:32 The Poisson Distribution 8:49 The Uniform Distribution 17:03 Student's T Distribution 21:23 Other Distributions
2.7 The Normal Distribution
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VIDEO CHAPTERS 0:00 The Definition of a Normal Variable 3:07 Computing Normal Probabilities 13:40 Computing Normal Probabilities (Example 2) 25:33 The Shape, Center, and Spread of a Normal Distribution
2.6 The Binomial Distribution
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VIDEO CHAPTERS 0:00 Definition of Binomial Variable 11:53 Computing Binomial Probabilities (by hand) 19:02 Computing Binomial Probabilities (in Desmos) 33:04 Mean and Std Dev of Binomial Distribution 39:40 The Derivation of the Binomial PDF
2.5 Random Variables and Probability Distributions
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VIDEO CHAPTERS 0:00 Definitions 5:53 Example 1 8:20 Example 2 11:11 Example 3 13:05 Graphs of Probability Distributions 18:08 The Mean and Standard Deviation of a Random Variable 21:28 Example 5 26:50 Example 6 31:35 The Mean as the Expected Value 36:04 Example 7
2.4 The Probability of Multiple Events
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VIDEO CHAPTERS 0:00 Introduction 1:21 "And" Probabilities / Multiplication Rule (Example 1) 5:57 Multiplication Rule (Example 2) 21:30 Multiplication Rule (Examples 3 and 4) 25:50 "Or" Probabilities / Addition Rule (Examples 5 and 6) 34:00 Addition Rule (Example 7) 36:48 Summary (Example 8)
2.3 Conditional Probability and Contingency Tables
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2.3 Conditional Probability and Contingency Tables
2.2 The Probability of a Single Event and Its Complement
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2.2 The Probability of a Single Event and Its Complement
1.10 Measures of Position and the Empirical Rule
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1.10 Measures of Position and the Empirical Rule
2.2 Support: Reducing, Multiplying, Adding, and Subtracting Fractions
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2.2 Support: Reducing, Multiplying, Adding, and Subtracting Fractions
1.4 Support: Evaluating Formulas and Ordering Numbers
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1.4 Support: Evaluating Formulas and Ordering Numbers
1.2 Support: Fractions, Decimals, Percents, and Rounding
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1.2 Support: Fractions, Decimals, Percents, and Rounding
Welcome to Online Math 21 (Fall 2024)
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Welcome to Online Math 21 (Fall 2024)
1.9 Relative Measures of Dispersion: CV, QCV, IQV
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1.9 Relative Measures of Dispersion: CV, QCV, IQV
1.8 Measures of Dispersion: Standard Deviation, IQR, and IQV
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1.8 Measures of Dispersion: Standard Deviation, IQR, and IQV
1.7 Measures of Center of Grouped Data (and Weighted Means)
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1.7 Measures of Center of Grouped Data (and Weighted Means)
1.6 Measures of Center: Mean, Median, Mode
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1.6 Measures of Center: Mean, Median, Mode
Miller Jason Thomas Barbara Jackson Richard
it is a great lecture thank you, it helps me a lot
Nice video mate. Do not waste another day = Promo-SM !!!
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