
Explore stem-and-leaf diagrams to visualize daily restaurant customers, show how to construct and interpret stems, leaves, and keys, and compare before-and-after marketing data to reveal trends.
Learn how bar charts and histograms visualize frequency data, with histograms using variable interval widths and area proportional to frequency, and compare bigshots for understanding frequency density.
Explore unions and intersections in probability, derive the union probability formula, and apply it to real-world data on medical aid and housing allowances.
Use tree diagrams to map two-draw outcomes from part-time and full-time staff, calculating the probability of at least one part-time employee as 649/2443.
Explore combinations with repeated items using case-based analysis, such as three identical neckties in a ten-slot display. Sum case results to obtain the total number of arrangements.
Explain discrete probability distributions, defining random variable X, listing outcomes with probabilities summing to one, and estimating them via relative frequency and simulation, with a five-slot wheel and sunny days.
Explore unions, intersections, conditional probabilities, and mutually exclusive events, plus permutations and combinations with factorial notation; study discrete probability distributions and relative-frequency estimates that sum to one.
Learn to compute the expected value and variance of a random variable, using dice and wheel examples to illustrate mu, x-bar, and population and sample concepts.
Learn how to compute the mean of a geometric distribution with parameter p, deriving that the expected value is mu = 1/p.
Model continuous variables with the normal distribution, where the area under the curve equals one and represents probabilities. Compare its mu and sigma squared to the binomial distribution.
Are you battling to understand statistics?
Are you confused by intimidating formulae and jargon?
Do you want to know what metrics analyze in your business or in your job, that will allow you to produce insightful reports in order to make better decisions?
Well if so, this course is perfect for you. I designed this statistics course combining years of teaching, investment banking, and entrepreneurial experience. The result is an easy-to-understand and real-world applicable course with detailed explanations and worked examples, which will not only help you to understand statistical concepts, but will also help you to see how statistics is applied in real-world business scenarios. This "learn-by-doing" approach, will empower you to master the concepts being taught quickly, via direct application.
The video format of the course accelerates learning, and provides an engaging delivery mechanism for the educational content. In addition to this, the practice questions at the end of each learning section, provide students with a large body of practice material to reinforce the learning of the concepts being taught.
In this preview course a conceptual overview of statistics is provided, covering representation of data, measures of spread, and measures of location. In the full course a comprehensive list of concepts would be expanded upon to include producing powerful reports, hypothesis testing and regression.