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SAMPLE VIDEOS

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The Stats 1 course features more than 450 videos and four sample exams.

1. Introduction | ||

1.1 | Welcome | |

1.2 | Sample Statistics and Population Parameters | |

1.3 | Types of Data - Discrete vs. Continuous | |

2. Methods for Describing Sets of Data | ||

2.1 | Frequency Tables and Histograms | |

2.2 | Summation Notation | |

2.3 | Measures of Central Tendency: Mean, Median, Mode | |

2.4 | Skewed Distributions | |

2.5 | Measures of Variability: Range, Standard Deviation, and Variance | |

2.6 | Chebyshev’s Theorem | |

2.7 | Empirical Rule | |

2.8 | Measures of Relative Standing – Z scores | |

3. Probability | ||

3.1 | Sample Spaces and Tree Diagrams | |

3.2 | Basic Probability | |

3.3 | Fundamental Counting Rule and Combinations | |

3.4 | Additive Rule of Probability | |

3.5 | Conditional Probability | |

3.6 | Multiplicative Rule of Probability | |

3.7 | Probability of At Least One | |

4. Discrete Random Variables | ||

4.1 | Probability Distributions for Discrete Random Variables | |

4.2 | Expected Value: The Mean of a Discrete Random Variable | |

4.3 | Standard Deviation of a Discrete Random Variable | |

4.4 | Binomial Distribution and Binomial Probability | |

4.5 | Using the Binomial Table | |

4.6 | Mean, Variance, and Standard Deviation of a Binomial Random Variable | |

5. Normal Random Variables | ||

5.1 | Using the Z-table | |

5.2 | Probability Using the Normal Distribution | |

5.3 | Finding Percentiles of the Normal Curve (Using the Table in Reverse) | |

5.4 | Normal as Approximation to Binomial | |

6. Sampling Distributions | ||

6.1 | Minimum Variance Unbiased Point Estimators | |

6.2 | Using the Central Limit Theorem | |

7. Confidence Intervals | ||

7.1 | Finding Critical Z Values | |

7.2 | Large-Sample Confidence Intervals for a Population Mean | |

7.3 | Determining the Sample Size | |

7.4 | Finding Critical T Values | |

7.5 | Small-Sample Confidence Intervals for a Population Mean | |

7.6 | Confidence Intervals for a Population Proportion | |

8. Tests of Hypothesis-One Sample | ||

8.1 | Determining the Claim, Null and Alternative Hypotheses | |

8.2 | Critical Values for the Rejection Region | |

8.3 | Large-Sample Test of Hypothesis about a Population Mean | |

8.4 | Observed Significance Levels: p-Values | |

8.5 | Small-Sample Test of Hypothesis about a Population Mean | |

8.6 | Hypothesis about a Population Proportion | |

8.7 | Type I and Type II Error Probabilities | |

9. Confidence Intervals and Tests of Hypothesis-Two Samples | ||

9.1 | Z-Interval to Compare Two Population Means: Independent Samples | |

9.2 | Test to Compare Two Population Means: Independent Samples | |

9.3 | t-Interval to Compare Two Population Means: Independent Samples (Equal Variances) | |

9.4 | t-Test to Compare Two Population Means: Independent Samples (Equal Variances) | |

9.5 | t-Interval to Compare Two Population Means: Independent Samples (Unequal Variances) | |

9.6 | t-Test to Compare Two Population Means: Independent Samples (Unequal Variances) | |

9.7 | Hypothesis Test to Compare Two Population Means: Matched-Pair Experiments | |

9.8 | Confidence Interval to Compare Two Population Means: Matched-Pair Experiments | |

9.9 | Hypothesis Test to Compare Two Population Proportions: Independent Sampling | |

9.10 | Using the f-table to Find Critical Values | |

9.11 | Hypothesis Test to Compare Two Population Variances: Independent Sampling |