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Statistics

Normaler Preis €25.00
Ein Kurs von Lecturio
Statistics
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Lektionen: 120 Lessons
Länge: 6 hours
Sprache: English

Beschreibung

Immerse yourself in the world of statistics. Learn as a business student the basic and advanced principles in this field. Lecturer David Spade will share his great knowledge with you. With a Ph. D. in statistics, he is the ideal choice to explain basic concepts such as probabilities, comparison of distributions or two means and more.

After this course you will be able to:

  • Sampling distributions for proportions and means
  • Contingency tables
  • Hypothesis tests
  • Linear regression

This course is aimed at:

  • Anybody, who wants to get first ideas of statistics

 

Lerninhalte

Chapter 1: Introduction to Statistics (11:29)

   Lesson 1:     Introduction to Statistics

   Lesson 2:     Types of variables

   Lesson 3:     Displaying categorical Data

   Lesson 4:     Bad Charts

   Quiz 1:          5 Questions

 

Chapter 2: Contingency Tables (17:53)

   Lesson 5:     Contingency Tables

   Lesson 6:     Marginal Distributions

   Lesson 7:     Checking the work

   Lesson 8:     Conditional Distributions

   Lesson 9:     Independence of two categorical variables

   Lesson 10:   Simpson´s paradox

   Quiz 2:          5 Questions

 

Chapter 3: Summarizing quantitive variables (18:45)

   Lesson 11:   Summarizing quantitive variables

   Lesson 12:   Stem and Leaf Plots

   Lesson 13:   Shape of a distribution

   Lesson 14:   Interquartile range

   Lesson 15:   Example: Making a Boxplot

   Lesson 16:   How we describe quatitive variables

   Quiz 3:          5 Questions

 

Chapter 4: Comparing distributions (10:48)

   Lesson 17:   Comparing distributions

   Lesson 18:   Side-by-Side comparisons

   Lesson 19:   Data transformation

   Quiz 4:          5 Questions

 

Chapter 5: Standardizing Data and the normal distribution Part 1 (24:01)

   Lesson 20:   Standardizing Data and the normal distribution

   Lesson 21:   Shifting Data

   Lesson 22:   Rescaling Data

   Lesson 23:   The Normal Distribution

   Lesson 24:   The empirical rule

   Lesson 25:   The z-table

   Lesson 26:   Using the z-table in reverse

   Quiz 5:          5 Questions

 

Chapter 6: Standardizing Data and the normal distribution Part 2 (17:57)

   Lesson 27:   Scatterplots and correlation

   Lesson 28:   Making a scatterplot

   Lesson 29:   Choosing X and Y

   Lesson 30:   What is correlation?

   Lesson 31:   Finishing the calculation

   Lesson 32:   Correlation and causation

   Quiz 6:          5 Questions

 

Chapter 7: Linear regression (20:07)

   Lesson 33:   Linear regression

   Lesson 34:   The Y-intercept

   Lesson 35:   Making predictions

   Lesson 36:   The r-squared quantity

   Lesson 37:   After regression

   Quiz 7:          5 Questions

 

Chapter 8: Addressing issues with regression assumptions (12:27)

   Lesson 38:   Addressing issues with regression assumptions

   Lesson 39:   Outliers, leverage and influential points

   Lesson 40:   Lurking variables and causation

   Lesson 41:   The logarithmic transformation

   Quiz 8:          5 Questions

 

Chapter 9: Randomness and survey sampling (20:08)

   Lesson 42:   Randomness and survey sampling

   Lesson 43:   Random sampling

   Lesson 44:   Selecting a representative sample

   Lesson 45:   Stratified sampling

   Lesson 46:   Systematic sampling

   Lesson 47:   Types of bias

   Quiz 9:          5 Questions

 

Chapter 10: Experiments and observational studies (23:09)

   Lesson 48:   Experiments and observational studies

   Lesson 49:   Why do observational studies?

   Lesson 50:   Designing an experiment

   Lesson 51:   Principles of experimental design

   Lesson 52:   Diagramming an experiment

   Lesson 53:   Experiments and surveys

   Lesson 54:   Placebos and their uses

   Lesson 55:   Randomized block designs

   Quiz 10:        4 Questions

 

Chapter 11: Introduction to probability (13:30)

   Lesson 56:   Introduction to probability

   Lesson 57:   Modeling probability

   Lesson 58:   The complement rule

   Lesson 59:   Independent events

   Lesson 60:   Probability Pitfalls

   Quiz 11:        5 Questions

 

Chapter 12: General rules of probability (22:59)

   Lesson 61:   General rules of probability

   Lesson 62:   Contingency tables

   Lesson 63:   Conditional probability

   Lesson 64:   Using tables and Venn Diagrams

   Lesson 65:   General multiplication rule

   Lesson 66:   Tree diagrams

   Lesson 67:   Bayes´rule

   Quiz 12:        5 Questions

 

Chapter 13: Random variables (11:36)

   Lesson 68:   Random variables

   Lesson 69:   Expected values

   Lesson 70:   Evaluating spread

   Lesson 71:   Properties of variances

   Quiz 13:        5 Questions

 

Chapter 14: Probability models (16:30)

   Lesson 72:   Probability Models

   Lesson 73:   The 10% rule

   Lesson 74:   The binomial model

   Lesson 75:   using the Normal Approximation

   Lesson 76:   Statistical significance

   Quiz 14:        5 Questions

 

Chapter 15: Sampling distributions for proportions and means (12:07)

   Lesson 77:   Sampling distributions for proportions and means

   Lesson 78:   Using the Normal Model for proportions

   Lesson 79:   The central limit theorem

   Lesson 80:   Illustrating the Normal Curve at work

   Quiz 15:        5 Questions

 

Chapter 16: Confidence intervals for proportions (14:56)

   Lesson 81:   Confidence Intervals for proportions

   Lesson 82:   Constructing the interval

   Lesson 83:   Margin of error

   Lesson 84:   Assumptions and conditions

   Lesson 85:   Pitfalls to avoid

   Quiz 16:        5 Questions

 

Chapter 17: Testing hypotheses about proportions (16:43)

   Lesson 86:   Testing hypotheses about proportions

   Lesson 87:   The success/ failure condition

   Lesson 88:   P-Values

   Lesson 89:   Significance levels

   Lesson 90:   Pitfalls to avoid

   Quiz 17:        5 Questions

 

Chapter 18: More about hypothesis tests (14:04)

   Lesson 91:   ore about hypothesis tests

   Lesson 92:   Small P-Values

   Lesson 93:   Large P-Values

   Lesson 94:   Making errors

   Lesson 95:   Pitfalls to avoid

   Quiz 18:        5 Questions

 

Chapter 19: Comparing two proportions (13:43)

   Lesson 96:   Comparing two proportions

   Lesson 97:   Assumptions and conditions

   Lesson 98:   Hypothesis testing

   Lesson 99:   Snoring example

   Lesson 100: Example: Mechanics and conclusion

   Quiz 19:        5 Questions

 

Chapter 20: Inference for means (13:33)

   Lesson 101: Inference for means

   Lesson 102: The t-distribution

   Lesson 103: Three conditions

   Lesson 104: Using margin of error

   Lesson 105: Pitfalls to avoid

   Quiz 20:        5 Questions

 

Chapter 21: Comparing two means (12:40)

   Lesson 106: Comparing two means

   Lesson 107: The sampling distribution

   Lesson 108: Check the conditions

   Lesson 109: The pooled t-test

   Quiz 21:         5 Questions

 

Chapter 22: Inferencefor paired data (08:18)

   Lesson 110: Inference for paired data

   Lesson 111: The paired t-test

   Lesson 112: Pitdalls to avoid

   Quiz 22:         5 Questions

 

Chapter 23: Categorical data analysis (14:43)

   Lesson 113: Categorical data analysis

   Lesson 114: The Chi-Square table

   Lesson 115: Astrology example

   Lesson 116: Natural Question

   Lesson 117: Pitfalls to avoid

   Quiz 23:         5 Questions

 

Chapter 24: Inference for regression (08:32)

   Lesson 118: Inference for regression

   Lesson 119: Example: Body fat

   Lesson 120: Pitfalls to avoid

   Quiz 24:         5 Questions