آموزش مبانی آمار – بخش 2

Statistics Foundations: 2Publisher: LyndaAuthor: Eddie DavilaDuration: 1h 56mLevel: IntermediateLink:https://www.lynda.com/Business-Intelligence-tutorials/Statistics-Fundamentals-Part-2-Intermediate/495322-2.htmlGet practical, example-based learning of the intermediate skills associated with statistics: samples and sampling, confidence intervals, and hypothesis testing.
Released: 11/22/2016

Statistics are a core skill for many careers. Basic stats are critical for making decisions, new discoveries, investments, and even predictions. But sometimes you need to move beyond the basics. Statistics Fundamentals – Part 2 takes business users and data science mavens into practical, example-based learning of the intermediate skills associated with statistics: samples and sampling, confidence intervals, and hypothesis testing.

Eddie Davila first provides a bridge from Part 1, reviewing introductory concepts such as data and probability, and then moves into the topics of sampling, random samples, sample sizes, sampling error and trustworthiness, the central unit theorem, t-distribution, confidence intervals (including explaining unexpected outcomes), and hypothesis testing. This course is a must for those working in data science, business, and business analytics—or anyone else who wants to go beyond means and medians and gain a deeper understanding of how statistics work in the real world.

Topics include:
Data and distributions
Sample size considerations
Random sampling
Confidence intervals
Hypothesis testing

Introduction
Welcome
2m 7s
What you should know
1m 29s
1. Beyond Data and Probability
Understanding data and distributions
4m 11s
Probability and random variables
4m 1s
What's next in stats 2?
4m 26s
2. Sampling
Sample considerations
4m 11s
Random samples
5m 4s
Alternative to random samples
4m 42s
3. Sample Size
The importance of sample size
5m 42s
The central limit theorem
4m 53s
Standard error (for proportions)
5m 50s
Sampling distribution of the mean
3m 37s
Standard error (for means)
4m 6s
4. Confidence Intervals
One sample is all you need
2m 42s
What exactly is a confidence interval?
3m 50s
95% confidence intervals for population proportions
7m 8s
Do you want to be more than 95% confident?
5m 12s
Explaining unexpected outcomes
4m 38s
95% confidence intervals for population means
3m 41s
5. Hypothesis Testing
Is this result even possible?
3m 27s
How to test a hypothesis in four steps
7m 35s
One-tailed vs. two-tailed tests
6m 1s
Significance test for proportions
6m 8s
Significance test for means (acceptance sampling)
6m 3s
Type I and type II errors
5m 3s
Conclusion
Next steps
1m 6s

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