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  1. Making Sense of Economic Data (ECON 226)
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  • Making Sense of Economic Data (ECON 226)
    • Introduction to Statistics I
    • Introduction to Statistics II
    • Central Tendency
    • Confidence Intervals
    • Hypothesis Testing

  • Econometrics I (ECON 325)
    • Introduction to Statistics I
    • Introduction to Statistics II
    • Central Tendency
    • Dispersion and Dependence
    • Confidence Intervals
    • Hypothesis Testing
    • Data Visualization I
    • Data Visualization II
    • Distributions
    • Simple Regression
    • Sampling Distributions
    • Example Project (325)

  • Econometrics II (ECON 326)
    • Review of Basic Statistics using R
    • Introduction to Regression
    • Multiple Regression
    • Issues in Regression
    • Interactions and Non-Linear Terms
    • Example Project (326)

  • Notebooks
    • Introduction to ANOVA
    • Regression Analysis
    • Chi-Squared Tests
    • t-Tests
Categories
All (5)
R (5)
beginner (5)
central tendency (1)
chi-square distribution (1)
confidence intervals (1)
confidence level (1)
critical value (1)
data (1)
data types (1)
data visualization (1)
data wrangling (1)
descriptive statistics (2)
dispersion (1)
distributions (1)
econ 226 (3)
econ 227 (2)
econ 227. confidence intervals (1)
econ 325 (3)
histogram (1)
hypothesis testing (1)
importing data (1)
inferential statistics (2)
introduction (3)
joint-probability (1)
mean (1)
median (1)
mode (1)
normal distribution (1)
p-value (1)
point estimate (1)
probability (1)
probability notation (1)
review (1)
sample mean (1)
sample proportion (1)
significance level (1)
skewness (1)
t-distribution (1)
t-test (2)
type-I error (1)
type-II error (1)

Making Sense of Economic Data (ECON 226)

This section contains material to support UBC’s ECON 226 Making Sense of Economic Data. This course is an introductory course intended to give students a general introduction to probability and statistics in an econometric setting.

  • These modules in particular are designed to be used in 1 or 2 one-hour long lab environments, with TA or Instructor supervision
  • They can also be used for self-study, with some additional effort

These materials are a review of basic probability, which contains overlap with AP and IB Statistics from high school.

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1.0.0 - Beginner - Introduction to Statistics
This notebook introduces you to some fundamental statistics and basic probability concepts. It is designed to cover introductory statistics material taught in Foundations of…
10 Aug 2023

1.0.1 - Beginner - Introduction to Statistics using R
This notebook is an introduction to basic statistics using Jupyter and R, and some fundamental data analysis. It is a high-level review of the most important applied tools…
8 May 2023

1.1 - Beginner - Introduction to Central Tendency
This notebook is an hands-on introduction to the concepts of Central Tendency at the beginner level using R. It is meant for undergraduates with no or very little prior…
13 Oct 2023

1.3.2 - Beginner - Confidence Intervals
What does it mean to be confident in a statistical estimate? This notebook is an introduction to confidence, and confidence intervals - especially in the context of the…
12 Jan 2023

1.4.2 - Beginner - Hypothesis Testing
What is a hypothesis? How do we test it? This notebook introduces hypothesis testing in two different ways, outlining the connection between them and how we can use this…
12 Jan 2023
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Introduction to Statistics I
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  • The COMET Project and the UBC Vancouver School of Economics are located on the traditional, ancestral and unceded territory of the xʷməθkʷəy̓əm (Musqueam) and Sḵwx̱wú7mesh (Squamish) peoples.