In this chapter you will learn how to perform statistical inference on a single parameter that describes categorical data. This includes both resampling based methods and approximation based methods for a single proportion.

The General Social Survey

Exploring consci

Generating via bootstrap

Constructing a CI

Why more bootstraps?

Interpreting a Confidence Interval

CIs and confidence level

SE with less data

SE with different p

The approximation shortcut

CI via approximation

Methods compared

Inference for a single parameter

This chapter dives deeper into performing hypothesis tests and creating confidence intervals for a single parameter. Then, you'll learn how to perform inference on a difference between two proportions. Finally, this chapter wraps up with an exploration of what happens when you know the null hypothesis is true.

Hypothesis test for a proportion

Life after death

Generating from H0

Testing a claim

Making a decision

Intervals for differences

Death penalty and sex

Hypothesis test on the difference in proportions

Interpreting the test

Hypothesis tests and confidence intervals

Statistical errors

When the null is true

When the null is true: decision

Proportions: testing and power

This part of the course will teach you how to use both resampling methods and classical methods to test for the indepence of two categorical variables. This chapter covers how to perform a Chi-squared test.

Tabel kontingensi

Politik dan Antariksa

Memahami tabel kontingensi

Dari tidy ke tabel lalu kembali ke tidy

Statistik uji Chi-kuadrat

Satu nilai Chi-sq dari permutasi

Membangun dua distribusi nol

Apakah data konsisten dengan modelnya?

Metode alternatif: sebaran khi-kuadrat

Memeriksa kondisi

Geografi kebahagiaan

Satu p-value dengan dua cara

Interval untuk distribusi chi-kuadrat

Comparing many parameters: independence

The course wraps up with two case studies using election data. Here, you'll learn how to use a Chi-squared test to check goodness-of-fit. You'll study election results from Iran and Iowa and test if Benford's law applies to these datasets.

Case study: election fraud

Getting to know the Iran data

Who won?

Breaking it down by province

Extracting the first digit I

Goodness of fit

Goodness of fit test

A p-value, two ways

Is this evidence of fraud?

And now to US

Getting to know the Iowa data

Extracting the first digit II

Testing Iowa

Fraud in Iowa?

Election fraud in Iran and Iowa: debrief

Comparing many parameters: goodness of fit

GSS data

Iowa election data

Iran election data

Data kategorik ada di mana-mana. Data ini muncul dalam angka jajak pendapat terbaru, dalam data yang mendorong terobosan baru di genomik, dan dalam tumpukan data yang dikumpulkan perusahaan internet untuk menjual produk kepada Anda. Dalam kursus ini, Anda akan mempelajari teknik untuk memilah sinyal dari derau; seperangkat alat untuk mengidentifikasi kapan struktur dalam data ini merepresentasikan fenomena menarik dan kapan itu hanya derau acak.

Foundations of Inference in R

Dalam kursus ini, Anda akan belajar teknik statistik untuk mengolah data kategorikal.

Inferensi untuk Data Kategorik di R

Dalam kursus ini, Anda akan belajar cara memanfaatkan teknik statistik untuk bekerja dengan data kategorikal.

Penarikan Kesimpulan Statistik di R

Memahami tabel kontingensi

Inferensi untuk Data Kategorik di R

Latihan interaktif langsung