cowan_cern_1
... Lecture 1: Introduction and basic formalism Probability, statistical tests, parameter estimation. Lecture 2: Discovery and Limits Quantifying discovery significance and sensitivity Frequentist and Bayesian intervals/limits Lecture 3: More on discovery and limits The Look-Elsewhere Effect Dealing wit ...
... Lecture 1: Introduction and basic formalism Probability, statistical tests, parameter estimation. Lecture 2: Discovery and Limits Quantifying discovery significance and sensitivity Frequentist and Bayesian intervals/limits Lecture 3: More on discovery and limits The Look-Elsewhere Effect Dealing wit ...
6. The F Distribution
... shape of the density function. For selected values of the parameters, run the simulation 1000 times, updating every 10 runs, and note the apparent convergence of the empirical density function to the true density function. 3. Sketch the graph of the F density function given in Exercise 1. In particu ...
... shape of the density function. For selected values of the parameters, run the simulation 1000 times, updating every 10 runs, and note the apparent convergence of the empirical density function to the true density function. 3. Sketch the graph of the F density function given in Exercise 1. In particu ...
tps5e_Ch8_3
... When we standardize based on the sample standard deviation sx, our statistic has a new distribution called a t distribution. It has a different shape than the standard Normal curve: It is symmetric with a single peak at 0, However, it has much more area in the tails. ...
... When we standardize based on the sample standard deviation sx, our statistic has a new distribution called a t distribution. It has a different shape than the standard Normal curve: It is symmetric with a single peak at 0, However, it has much more area in the tails. ...
Chapter 5 Sampling Distributions 5.1
... A parameter is a numerical descriptive measure of a population. Because it is based on all the observations in the population, its value is almost always unknown. A sample statistic is a numerical descriptive measure of a sample. It is calculated from the observations in the sample. ...
... A parameter is a numerical descriptive measure of a population. Because it is based on all the observations in the population, its value is almost always unknown. A sample statistic is a numerical descriptive measure of a sample. It is calculated from the observations in the sample. ...
A, B - Tohoku University
... Defference of Events A and B: A╲B Union of Events A and B: A∪B Intersection of Events A and B: A∩B Events A and B are exclusive of each other: A∩B=Ф Events A, B and C are exclusive of each other: [A∩B=Ф]Λ[B∩C=Ф]Λ[C∩A=Ф] Physics Fluctuomatics / Applied Stochastic Process (Tohoku University) ...
... Defference of Events A and B: A╲B Union of Events A and B: A∪B Intersection of Events A and B: A∩B Events A and B are exclusive of each other: A∩B=Ф Events A, B and C are exclusive of each other: [A∩B=Ф]Λ[B∩C=Ф]Λ[C∩A=Ф] Physics Fluctuomatics / Applied Stochastic Process (Tohoku University) ...
HW2 Solution
... (e) (3 points) Given that we know the first 500 genes are simulated to have different means, we can test the performance of various statistics at distinguishing these genes from the rest. Write a function that computes the Area Under Receiver Operating Characteristic (ROC) Curve (AUC). You function ...
... (e) (3 points) Given that we know the first 500 genes are simulated to have different means, we can test the performance of various statistics at distinguishing these genes from the rest. Write a function that computes the Area Under Receiver Operating Characteristic (ROC) Curve (AUC). You function ...
Activity overview
... 2. A roulette wheel has 38 slots, numbered 00 and 0 to 36. The slots 0 and 00 are green, 18 of the other are red, and 18 are black. The dealer spins the wheel and at the same time rolls a small ball along the wheel in the opposite direction. The wheel is balanced so that the ball is equally likely t ...
... 2. A roulette wheel has 38 slots, numbered 00 and 0 to 36. The slots 0 and 00 are green, 18 of the other are red, and 18 are black. The dealer spins the wheel and at the same time rolls a small ball along the wheel in the opposite direction. The wheel is balanced so that the ball is equally likely t ...
StatAnalysis-PartOne - Columbia University
... because for most people their first encounter(s) with Statistics were somewhat negative, daunting, impenetrable, arcane, etc. Why do we need Statistics? Because, as Norman and Streiner put it, “the world is full of variation, and sometimes it‘s hard to tell real differences from natural variation.” ...
... because for most people their first encounter(s) with Statistics were somewhat negative, daunting, impenetrable, arcane, etc. Why do we need Statistics? Because, as Norman and Streiner put it, “the world is full of variation, and sometimes it‘s hard to tell real differences from natural variation.” ...
Notes - Section 7 – 1
... Example 4: The Ford Motor Company claims that the Ford Ranger pick-up truck gets highway mileage of 29 mpg. We take a SRS of 40 Ford Rangers and get a mean mpg of 28.4 with a standard deviation of 3.1 mpg. A) Give a 90% confidence interval for the true mean mpg for Ford Ranger. B) Explain what it m ...
... Example 4: The Ford Motor Company claims that the Ford Ranger pick-up truck gets highway mileage of 29 mpg. We take a SRS of 40 Ford Rangers and get a mean mpg of 28.4 with a standard deviation of 3.1 mpg. A) Give a 90% confidence interval for the true mean mpg for Ford Ranger. B) Explain what it m ...