Contents
Introduction
Week 1 Jan 27-Feb 3
Introduction The Basics of Quantitative Data and Why do I need to learn R?!
Lab: Getting started in R Studio
Chapter 1: Why do We Learn Statistics Chapter 3: Getting Started With R; Chapter 4: Further R Concepts
Downloading RStudio, Signing up for Kaggle
UNIT 1: Foundational Concepts
Week 2 Feb 5-10
Quantitative Measures Tables, bar graphs, and histograms Lab: Introduction to Graphing in R Studio
Chapter 2.2: Scales of Measurement. Chapter 6.1, 6.3, 6.7: Drawing Graphs
Lab: Intro to Data Analysis: https://www.kaggle.com/code/sevdenurkoru/lab-1-introduction-to-data-analysis-using-r/edit/run/73367529
Problem Set: PS 1 Introduction https://www.kaggle.com/code/sevdenurkoru/problem-set-1
Week 3 Feb 18-19
Descriptive statistics for continuous distributions (Central Tendency, Variance, Skewness, Kurtosis, Box Plots)
Lab: Summary statistics in R Studio
Chapter 5.1-5.3: Descriptive Statistics
Lab: Central Tendency Measures and Intro to Data Visualization https://www.kaggle.com/code/sevdenurkoru/lab-3-central-tendency-measures-and-data-visualiz
Problem Set: PS2 on Measurement https://www.kaggle.com/code/sevdenurkoru/problem-set-no-2
Week 4 Feb 24-26
Research design (validity, statistical inference, and types of research) Lab: Manipulating data in R Studio
Chapters 7: Pragmatic Matters; Chapter 8: Basic Programming
Review and Data Manipulation
https://www.kaggle.com/code/sevdenurkoru/lab-4-review-and-data-manipulation-in-r
Statistical Inference Part I
https://www.kaggle.com/code/sevdenurkoru/lab-4-statistical-inference-part-i
Problem Set: PS 3 on Summation Equation and Summary Statistics https://www.kaggle.com/sevdenurkoru/problem-set-no-3
Week 5 Mar-3-5
Statistical inference for one variable, Part I (random sampling, probability introduction)
Lab: Review Sampling and Probability
Chapters 9; 10.1: Introduction to Probability; Samples and Sampling
Lab: Confidence intervals https://www.kaggle.com/code/sevdenurkoru/lab-5-calculating-confidence-intervals
Problem Set: PS 4 on Data Manipulation https://www.kaggle.com/sevdenurkoru/problem-set-4
Week 6 Mar 6
Statistical inference for one variable, Part II (z-scores, central limit theorem, and confidence intervals) Lab: Calculating Confidence Intervals in R Studio
Chapters 10.2-10.6; Estimating unknown quantities from a sample
Chapter 5.6: Standard Scores
Lab: Relationships between two variables https://www.kaggle.com/code/sevdenurkoru/lab-7-relationship-between-two-variables-vis
Problem Set: PS 5 is a review sheet
Exam #1 Review Sheet (Problem Set #5)
Week 7 Mar 10-12
Review March 10 and Exam No Lab
Exam #1 (March 12)
No Lab, No Problem Set
Week 8 Mar 17-19
Describing relationships between two variables (crosstabulations, scatterplots, line graphs, multiple boxplots) Lab: Describing bivariate relationships in R Studio Lab: Final Assignment First Step & Data Sources for Final Project
Chapter 6.5.3; 6.6; 7.1. Drawing multiple boxplots; Tabulating and cross-tabulating data
Lab) Kaggle notebooks for our lab (for the project)
https://www.kaggle.com/code/sevdenurkoru/gss-overview
Relationships between two variables https://www.kaggle.com/code/sevdenurkoru/lab-7-relationship-between-two-variables-vis
Problem Set: PS 6 on Confidence Intervals and Group Project https://www.kaggle.com/sevdenurkoru/problem-set-6
UNIT 2: Correlation, Causation, and Statistical Inference
Week 9 Mar 24-26
Correlation versus Causation (causal inference, research design redux, hypothesis testing, comparing two means: t-test and Cohen’s d) Lab: Comparing two means in R Studio
Chapters 2: A Brief Intro to Research Design : A B(again!); 11: Hypothesis Testing; 13: Comparing Two Means
Lab: Hypothesis Testing and Causal Relations https://www.kaggle.com/code/sevdenurkoru/lab-8-on-causal-inference-and-hypothesis-testing
Problem Set: PS 7 on Relationship between two variables Visualization https://www.kaggle.com/code/sevdenurkoru/problem-set-7
Week 10 Apr 2-9
Hypothesis testing with crosstabulations (conditional probabilities, chi-square, and Cramer’s V) Lab: Hypothesis testing with crosstabulations in R Studio
Chapter 12-12.4: Categorical data analysis
Lab: Hypothesis Testing and Causal Relations https://www.kaggle.com/code/sevdenurkoru/lab-8-on-causal-inference-and-hypothesis-testing
Problem Set: PS 8 on Hypothesis testing for Comparison of Groups https://www.kaggle.com/code/sevdenurkoru/problem-set-8
SPRING BREAK (April 12-20)
Week 11 April 21-23
Hypothesis testing with two continuous variables, Part I (Introduction to Linear Regression) Lab: Linear Regression in R
Chapter 15-15.2: Linear Regression Model
Lab: Crosstables https://www.kaggle.com/code/sevdenurkoru/lab-9-on-crosstables
Problem Set: PS 9 on Crosstables https://www.kaggle.com/code/sevdenurkoru/problem-set-9
Week 12 Apr 28-30
Hypothesis testing with two continuous variables, Part II (tests for coefficients, multiple regression, model fit)
Chapter 15.3-1.5 Interpreting the Estimated Model
Lab: Hypothesis testing with two continuous variables, Part I https://www.kaggle.com/code/sevdenurkoru/lab-10-hypothesis-test-w-2-continuous-varspart-i
Problem Set: No Problem Sets, work on group project
Week 13 May 5-7
Qualitative Research Methods Overview Lab: Final Research Project Presentations
Lab: Hypothesis testing with two continuous variables, Part II – Multiple regression https://www.kaggle.com/code/sevdenurkoru/lab-11-multiple-regression
Problem Set: PS 10 on Hypothesis Testing with Two Continuous Variables https://www.kaggle.com/code/sevdenurkoru/problem-set-10
Exam #2 Review Sheet (PS #11) Final Project Presentations (May 5)
Week 14 May 12-14
Exam #2 Review May 12 and Exam 2
Exam #2 (May14)
