Estimation theory

Confidence region

In statistics, a confidence region is a multi-dimensional generalization of a confidence interval. It is a set of points in an n-dimensional space, often represented as an ellipsoid around a point which is an estimated solution to a problem, although other shapes can occur. (Wikipedia).

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What is the definition of a relation

πŸ‘‰ Learn about every thing you need to know to understand the domain and range of functions. We will look at functions represented as equations, tables, mapping, and ordered pairs. The domain is the set of all possible x or input values where the range is the set of all possible y or outp

From playlist What is the Domain and Range of the Function

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Using parent graphs to understand the left and right hand limits

πŸ‘‰ Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val

From playlist Evaluate Limits of Absolute Value

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What is the definition of range of a relation

πŸ‘‰ Learn about every thing you need to know to understand the domain and range of functions. We will look at functions represented as equations, tables, mapping, and ordered pairs. The domain is the set of all possible x or input values where the range is the set of all possible y or outp

From playlist What is the Domain and Range of the Function

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Going from relations to functions

πŸ‘‰ Learn about every thing you need to know to understand the domain and range of functions. We will look at functions represented as equations, tables, mapping, and ordered pairs. The domain is the set of all possible x or input values where the range is the set of all possible y or outp

From playlist What is the Domain and Range of the Function

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Evaluate the left and right hand limit by graphing the function

πŸ‘‰ Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val

From playlist Evaluate Limits of Absolute Value

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What is the vertical line test

πŸ‘‰ Learn about every thing you need to know to understand the domain and range of functions. We will look at functions represented as equations, tables, mapping, and ordered pairs. The domain is the set of all possible x or input values where the range is the set of all possible y or outp

From playlist What is the Domain and Range of the Function

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Learn how to evaluate left and right hand limits of a function

πŸ‘‰ Learn how to evaluate the limit of an absolute value function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The absolute value function is a function which only takes the positive val

From playlist Evaluate Limits of Absolute Value

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How To Be Confident Without Being Arrogant

Conor McGregor: How To Be Confident Without Being Arrogant Get Our Best Tip To Turning On Confidence In Just 60 Seconds: https://goo.gl/AiIEjJ Conor McGregor is one of the most confident athletes in the world. He displayed that confidence in his flawless victory over Eddie Alvarez in UFC

From playlist How To Be Confident

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18. Bayesian Statistics (cont.)

MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet In this lecture, Prof. Rigollet talked about Bayesian confidence regions and Bayesian estimation. License: Creative Commons BY-NC-SA More information at

From playlist MIT 18.650 Statistics for Applications, Fall 2016

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THREE Ways to Find Statistical Significance (14-9)

Expanding of the idea of criteria for significance, Dr. Daniel explains the Three Ways to Find Significance. The Critical Value is the β€œfence” that we use to determine if a test statistic is significant. The p-value: probability of finding the given test statistic if the null hypothesis is

From playlist Hypothesis Testing Introduction WK 14 QBA 237

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Statistics: Ch 9 Hypothesis Testing (27 of 35) Upper and Lower Confidence Limits (UCL, LCL)

Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 Given: the population standard deviation, the confidence interval (or the level significance), and the sample size, n=100. The UCL an

From playlist STATISTICS CH 9 HYPOTHESIS TESTING

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Statistics: Ch 9 Hypothesis Testing (14 of 35) Another Look at the Level of Confidence

Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We take another look at the Level of Confidence by using an example of a normal distribution of a population where the critical regio

From playlist STATISTICS CH 9 HYPOTHESIS TESTING

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Hypothesis testing (ALL YOU NEED TO KNOW!)

0:00 Introduction 3:41 Intuition behind hypothesis testing 10:16 Example 1 12:57 Null hypothesis 22:00 Test statistic 28:27 p-valiue 33:38 Confidence intervals 37:46 Significant treatment difference 42:25 Power and Sample size (THE BEST!) 50:47 Example 2

From playlist Statistical Inference (7 videos)

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Rasa Algorithm Whiteboard - Fallback Detection

When you're uncertain about a prediction it's probably best not to immediately automate it. In this video, we'll discuss a fallback mechanism that's built-in Rasa. It's fairly general though so it might also serve as an inspiration for other algorithms too.

From playlist Algorithm Whiteboard

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Statistics: Ch 9 Hypothesis Testing (13 of 35) What is the "Level of Confidence"?

Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the Level of Confidence = 1 – level of significance = 1 – alpha (alpha=level of significance). Ex. If the test statisti

From playlist STATISTICS CH 9 HYPOTHESIS TESTING

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Statistics: Ch 8 Hypothesis Testing (33 of 35) Example Problem #4

Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071a Given: The wight of cereal boxes has a standard deviation of 0.27 ounces. A random sample of 18 boxes have a mean weight of 9.87 oun

From playlist STATISTICS CH 9 HYPOTHESIS TESTING

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The p value is the exact significance level (FRM T2-12)

[My XLS is here http://trtl.bz/030518-yt-p-value-xls] The p value is the area in the rejection region(s). In this example, we observe a sample mean of +15 bps and our null hypothesis is that the "true" population mean is zero. The corresponding p value of 2.36% is the exact (i.e., lowest)

From playlist Quantitative Analysis (FRM Topic 2)

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The best explanation of domain and range with multiple examples

πŸ‘‰ Learn about every thing you need to know to understand the domain and range of functions. We will look at functions represented as equations, tables, mapping, and ordered pairs. The domain is the set of all possible x or input values where the range is the set of all possible y or outp

From playlist What is the Domain and Range of the Function

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Statistics: Ch 8 Hypothesis Testing (34 of 35) Example Problem #5

Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071a Given: Ropes are manufactured to have an average strength of 300 pounds with a standard deviation of 24 pounds. A sample of 45 ropes

From playlist STATISTICS CH 9 HYPOTHESIS TESTING

Related pages

Identity matrix | Variance | Circular error probable | Degrees of freedom (statistics) | Prior probability | Confidence interval | Transpose | Linear regression | Singular value decomposition | F-distribution | Statistics | Chi-squared distribution | Ellipsoid | Normal distribution | Bootstrapping (statistics) | Quantile function | Statistical significance | Covariance