Faktor yang memengaruhi Statistical Power

Dalam latihan ini, Anda akan menyegarkan kembali beberapa konsep dasar untuk menguji pemahaman Anda tentang kekuatan statistik (statistical power). Memahami statistical power sangat penting, terutama jika Anda sedang merancang A/B test.

Pertimbangkan empat opsi berikut dan pilih faktor yang tidak memengaruhi kekuatan statistik dari suatu eksperimen:

Latihan ini adalah bagian dari kursus

Simulasi Statistik di Python

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Mulai berolahraga

Latihan ini adalah bagian dari kursus

Simulasi Statistik di Python

SkillTag.level.intermediateSkillTag.label

4.9+

Mulai Kursus Gratis

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: Simulasi untuk Perencanaan Bisnis Exercise 2: Pemodelan Produksi Jagung Exercise 3: Memodelkan Laba Exercise 4: Optimasi Biaya Exercise 5: Integrasi Monte Carlo Exercise 6: Mengintegrasikan Fungsi Sederhana Exercise 7: Menghitung nilai pi Exercise 8: Simulasi untuk Analisis Daya Exercise 9: Faktor yang memengaruhi Statistical Power

Latihan Saat Ini

Exercise 10: Analisis Daya - Bagian I Exercise 11: Analisis Daya - Bagian II Exercise 12: Aplikasi di Bidang Keuangan Exercise 13: Simulasi Portofolio - Bagian I Exercise 14: Simulasi Portofolio - Bagian II Exercise 15: Simulasi Portofolio - Bagian III Exercise 16: Penutup