Great Courses Plus – Meaning from Data – Statistics Made Clear

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Great Courses Plus – Meaning from Data – Statistics Made Clear

These questions involve the interpretation and application of statistics. “hot hand” Is there any truth to the claims that some sports players are real? How do you know if Shakespeare is the author of a recently discovered poem? What is a guilt?-How do you get someone to confess to cheating? What’s the best way to get someone to confess to cheating? Does A tax assessor can calculate the market price of a house
Meaning from Data: Statistics Made Clear This is your introduction to an important topic in today’s data.-driven society. In 24 hours-Hour lectures will cover the fundamentals and methods of studying statistics. These terms are probably familiar to you. Statistics are significant by the following: mean, median, percentile, and quartileBell curve These concepts may seem familiar to you, but it is possible to get a rough understanding of their meaning. This course will help you understand these concepts, as well as many other statistical concepts, and show how they can be used correctly to find meaning. from data.
 Become statistically savvy
These lectures are challenging and accessible, even if you don’t have any mathematics background beyond basic algebra. Although most college statistics courses emphasize technical problem solving and using data to create formulae, this course is focused on the logical foundations of statistical reasoning and the underlying strategies. This course includes many examples. Professor Michael Starbird will walk you through the most essential equations. However, his focus is on the everyday use of statistics. He will give you an overview of how statistics are used in risk assessment, college admissions and drug testing, as well as fraud investigation, among other applications.
 Statistical Adventures
 Professor Starbird is an expert at illustrating concepts with examples. Here are some examples:

Is a Lottery a Lottery? It isn’t always random. A lottery was held in 1969 for draft lottery winners.-Age men were assigned a rank for induction based upon their birthdays. The capsules were then drawn. from A container that is supposed to be random. However, the statistical correlation can be calculated for each order-Of-Draw, it is clear that there was a nonrandom variable at work. It is possible that the capsules containing the dates weren’t thoroughly mixed.
The Birthday Challenge What is the chance that two random people will share the same birthday? These chances are higher than most people realize.
The Chicken Soup Method How could 1,000 randomly selected people be used as predictors for hundreds of millions of voters’ behavior? This is what a political poll is all about. And its effectiveness should not be more surprising than the fact a single spoonful of chicken soup can predict the overall saltiness of the batch.
Beware of fallacious reasoning Simpson’s lawyer Johnnie Cochran countered Simpson’s evidence that Simpson had beaten his wife. He cited a statistic showing that 1 in 1,000 wives who beat their spouses go on to murder their wives. Cochran stated that there was a one in 1,000 chance Simpson would be convicted of the crime. Professor Starbird discusses some of the flaws in this argument. This includes the fact that Simpson was actually the victim of a murder by her wife. So the question should be: What’s the likelihood that she had been beaten before?
Who Was the Winner of the 1860 Presidential Elections? It can be difficult to establish the will of people in an election, especially when there are three or more candidates. Professor Starbird shows you how the results from the four parties are combined.-The presidential race of 1861 can be read as each candidate winning, depending on how they were elected. Abraham Lincoln won according to the rules in place, but given other equally valid rules, the victor—and history—would have been very different.

Statistics It’s All Around
Statistics information is everywhere. It is impossible to look at a newspaper and not see statistics on almost every page. It is impossible to talk about the weather forecast without referring to statistics. Statistics Although it is obvious that she works in business and social sciences, she also has a passion for the arts by analyzing manuscripts. It’s best to understand statistics before going to a casino. “It’s really harder to find somewhere where statistics isn’t important than to find the places where it is,” Professor Starbird.

24 lectures
 | Average time each is 30 minutes

1Describing Data Inferring and referring Meaning

2Data and Distributions—Getting the Picture

3Inference—How Close? How confident?

4Describing dispersion or Measuring Spread

5Models of Distributions—Shapely Families

6The Bell Curve

7Correlation and Regression—Moving Together

8Probability—Workhorse for Inference

9Samples—The Few, The Chosen

10Hypothesis Testing—Innocent Until

11Confidence Intervals—How Close? How sure are you?

12Design of Experiments—Thinking Ahead

13Law—You’re the Jury

14Democracy and Arrow’s Impossibility Theorem

Problems with 15Elections and Engine Failure

16Sports—Who’s Best of All Time?

17Risk—War and Insurance

18Real Estate—Accounting for Value

19Lying, distortion, and misleading
Statistics You can use deceitful techniques to deceive, as well as enlighten. This lecture will discuss deceitful practices like hiding lurking variables, reporting biased data, focusing only on rare events, reporting handpicked information, extrapolating trends unrealistically, confusing correlation with causation, and using biased samples.

20Social Science—Parsing Personalities

21Quack Medicine, Good Hospitals and Dieting

22Economics—“One” Method to Find Fraud

23Science—Mendel’s Too-Good Peas

24Statistics Everywhere

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