İstatistiksel Gücü etkileyen faktörler

Bu egzersizde, istatistiksel gücü ne kadar anladığını yoklamak için bazı temel kavramları tazeleyeceksin. İstatistiksel gücü anlamak özellikle bir A/B testi tasarlıyorsan çok önemlidir.

Aşağıdaki dört seçeneği incele ve bir deneyin istatistiksel gücünü etkilemeyen faktörü seç:

Bu egzersiz

Python'da İstatistiksel Benzetim

kursunun bir parçasıdır

Kursu Görüntüle

Uygulamalı interaktif egzersiz

İnteraktif egzersizlerimizden biriyle teoriyi pratiğe dökün

Egzersizi başlat

Bu egzersiz

Python'da İstatistiksel Benzetim

kursunun bir parçasıdır

IntermediárioNível de habilidade

4.9+

Kursa Ücretsiz Başlayın

This chapter gives you the tools required to run a simulation. We'll start with a review of random variables and probability distributions. We will then learn how to run a simulation by first looking at a simulation workflow and then recreating it in the context of a game of dice. Finally, we will learn how to use simulations for making decisions.

Exercise 1: Introduction to random variables Exercise 2: np.random.choice()Exercise 3: Poisson random variable Exercise 4: Shuffling a deck of cards Exercise 5: Simulation basics Exercise 6: Throwing a fair die Exercise 7: Throwing two fair dice Exercise 8: Simulating the dice game Exercise 9: Using simulation for decision-making Exercise 10: Simulating one lottery drawing Exercise 11: Should we buy?Exercise 12: Calculating a break-even lottery price

This chapter provides a basic introduction to probability concepts and a hands-on understanding of the data generating process. We'll look at a number of examples of modeling the data generating process and will conclude with modeling an eCommerce advertising simulation.

Exercise 1: Probability basics Exercise 2: Queen and spade Exercise 3: Two of a kind Exercise 4: Game of thirteen Exercise 5: More probability concepts Exercise 6: The conditional urn Exercise 7: Birthday problem Exercise 8: Full house Exercise 9: Data generating process Exercise 10: Driving test Exercise 11: National elections Exercise 12: Fitness goals Exercise 13: eCommerce Ad Simulation Exercise 14: Sign up Flow Exercise 15: Purchase Flow Exercise 16: Probability of losing money

In this chapter, we will get a brief introduction to resampling methods and their applications. We will get a taste of bootstrap resampling, jackknife resampling, and permutation testing. After completing this chapter, students will be able to start applying simple resampling methods for data analysis.

Exercise 1: Introduction to resampling methods Exercise 2: Sampling with replacement Exercise 3: Probability example Exercise 4: Bootstrapping Exercise 5: Running a simple bootstrap Exercise 6: Non-standard estimators Exercise 7: Bootstrapping regression Exercise 8: Jackknife resampling Exercise 9: Basic jackknife estimation - mean Exercise 10: Jackknife confidence interval for the median Exercise 11: Permutation testing Exercise 12: Generating a single permutation Exercise 13: Hypothesis testing - Difference of means Exercise 14: Hypothesis testing - Non-standard statistics

In this chapter, students will be introduced to some basic and advanced applications of simulation to solve real-world problems. We'll work through a business planning problem, learn about Monte Carlo Integration, Power Analysis with simulation and conclude with a financial portfolio simulation. After completing this chapter, students will be ready to apply simulation to solve everyday problems.

Exercise 1: İş Planlaması için Simülasyon Exercise 2: Mısır Üretimini Modelle Exercise 3: Kârı Modelle Exercise 4: Maliyetleri Optimize Etme Exercise 5: Monte Carlo İntegrasyonu Exercise 6: Basit Bir Fonksiyonun İntegralini Almak Exercise 7: Pi değerini hesaplama Exercise 8: Güç Analizi için Simülasyon Exercise 9: İstatistiksel Gücü etkileyen faktörler

Geçerli Egzersiz

Exercise 10: Güç Analizi - Bölüm I Exercise 11: Güç Analizi - Bölüm II Exercise 12: Finansta Uygulamalar Exercise 13: Portföy Simülasyonu - Bölüm I Exercise 14: Portföy Simülasyonu - Bölüm II Exercise 15: Portföy Simülasyonu - Bölüm III Exercise 16: Kapanış