- Congratulations you made it. You've survived means and medians, standard deviation and z-scores. You looked at a number of probability concepts. You even saw both discreet and continuous models. And now, you're probably already reading every statistic that crosses your path with a new lens. You're asking probing questions about data and data collection methods. You might even get a little excited when you see a chart or graph nowadays. I'm also guessing you still have a million questions about statistics.
Statistics Fundamentals Part One provided a really nice foundation but perhaps you want more and perhaps you're wondering what lies ahead in Parts Two and Parts Three. Well, in Part Two, we'll consider issues like sampling. Basically how we should go about collecting data. Confidence intervals. In other words, we'll find out how much we can trust our results. And hypothesis testing, where we can put our assumptions to the test.
And if you still want more, Part Three will look at advanced concepts like experimental design and regression. Until then though, Part One has given you the tools to appreciate statistics, to question results and to discover the statistical stories contained in infographics. Again, congratulations and I hope you're excited to dive into Statistical Fundamentals Part Two and Three.
Professor Eddie Davila covers statistics basics, like calculating averages, medians, modes, and standard deviations. He shows how to use probability and distribution curves to inform decisions, and how to detect false positives and misleading data. Each concept is covered in simple language, with detailed examples that show how statistics are used in real-world scenarios from the worlds of business, sports, education, entertainment, and more. These techniques will help you understand your data, prove theories, and save time, money, and other valuable resources—all by understanding the numbers.
- Calculate mean and median for specific data sets.
- Explain how the mode is used to assess a data set.
- Identify situations in which standard deviation can be used to investigate individual data points.
- Use mean and standard deviation to find the Z-score for a data point.
- List the three different categories of probability.
- Analyze data to determine if two events are dependent or independent.
- Predict possible outcomes for a situation using basic permutation calculations.
- Give examples of binomial random variables.