STAT 218 Fall 2024

Course Content

The course content, available here, is further enriched by in-class presentations and activities. Each week, we’ll engage with the material through:

Reading assignments introducing key concepts for the unit/topic.
Followed by lectures, in-class activities, investigations or lab sessions exploring the week’s content.
Submitting weekly assignments through Canvas.

Weekly Layout

Discover the Weekly Layout — a comprehensive guide to your week’s agenda. Access

lecture slides ,
videos ,
reading materials ,
investigations
weekly assignments ,
group assignments and
due dates ,

all conveniently organized for your academic journey.

Week 1 (Sep 23 - Sep 26)

BEFORE CLASS	DURING CLASS	AFTER CLASS
Nothing, just come to the class!	Covering the website & syllabus A Discussion on Life Sci. and Statistics	The best stats you’ve ever seen Using data to better understand agriculture. Using statistics to treat chronic illnesses. NO SUBMISSION FOR TODAY!
CH 1: Introduction Section 1.2: Types of Evidence Section 2.1: Introduction to Variables FROM Samuels et al. (2016)	Investigation 1	Investigation 1 DUE DATE: Thu, Sep 26
CH 1: Introduction Section 1.3: Random Sampling FROM Samuels et al. (2016)	Lecture Slides - Sampling Guided Activity	Weekly Assignment Exercise 1.2.2 Exercise 1.2.4 Exercise 1.2.6 Exercise 1.3.3 and Exercise 2.1.1 DUE DATE: Sun, Sep 29
Introduction to R and RStudio – Lab 1 Install R Install RStudio First Steps in R	Lab Slides - Introduction to R & RStudio	Upload the PDF file that we created today! DUE DATE: Sun, Sep 29

Week 2 (Sep 30 - Oct 03)

BEFORE CLASS	DURING CLASS	AFTER CLASS
CH 2: Description of Samples and Populations Section 2.2: Frequency Distributions Section 2.3: Descriptive Statistics FROM Samuels et al. (2016)	Lecture Slides - Description of Samples and Populations Rossman & Chance Applet	Weekly Assignment Exercise 2.2.6 Exercise 2.3.3 Exercise 2.3.10 DUE DATE: Sun, Oct, 06
CH 2: Description of Samples and Populations Section 2.3: Descriptive Statistics Section 2.6: Measures of Dispersion FROM Samuels et al. (2016)	Investigation 2	Investigation 2 DUE DATE: Thu, Oct 03
Nothing, just come to the class!	Lecture Slides - Introduction to Chance Models Guided Activity	Review the class notes
CH 2: Description of Samples and Populations Section 2.3: Descriptive Statistics Section 2.6: Measures of Dispersion FROM Samuels et al. (2016)	Lab Slides - Descriptive Statistics - I	Lab Assignment 1 DUE DATE: Sun, Oct, 06

Week 3 (Oct 7 - Oct 10)

BEFORE CLASS	DURING CLASS	AFTER CLASS
CHAPTER 3 and CHAPTER 4 Section 3.1: Probability and the Life Sciences Section 3.2: Introduction to Probability Section 3.4: Density Curves Chapter 4 pp. 132- 137 FROM Samuels et al. (2016)	Lecture Slides Rossman & Chance Applet	No Assignment for today!
CHAPTER 3 and CHAPTER 4 Section 3.1: Probability and the Life Sciences Section 3.2: Introduction to Probability Section 3.4: Density Curves Chapter 4 pp. 132- 137 FROM Samuels et al. (2016)	Investigation 3	Investigation 3 DUE DATE: Thu, Oct 10
CH 6: Confidence Intervals Section 6.1: Statistical Estimation Section 6.2: Standard Error of the Mean FROM Samuels et al. (2016)	Lecture Slides	Weekly Assignment Course Survey DUE DATE: Sun, Oct 13
CH 2: Description of Samples and Populations Section 2.2: Frequency Distributions Section 2.3: Descriptive Statistics FROM Samuels et al. (2016)	Lab Slides - Descriptive Statistics - II	Lab Assignment 2 DUE DATE: Sun, Oct, 13

Week 4 (Oct 14 - Oct 17)

BEFORE CLASS	DURING CLASS	AFTER CLASS
Introduction to Confidence Intervals and Quantitative Data Nothing, just come to the class	Lecture Slides - Confidence Intervals Rossman & Chance Applet	No Assignment for today!
CH 6: INFERENCE FOR CATEGORICAL DATA Section 6.1: Inference for a single proportion FROM Diez et al. (2022)	Investigation 4 - Climate Change and Confidence Interval	Investigation 4 DUE DATE: Thu, Oct 17
CH 6: Confidence Intervals Section 6.1: Statistical Estimation Section 6.2: Standard Error of the Mean Section 6.3: Confidence Interval for µ Section 6.4: Planning a Study to Estimate µ FROM Samuels et al. (2016)	Lecture Slides - Confidence Interval for a Single Mean	Weekly Assignment See Canvas DUE DATE: Sun, Oct 20
CHAPTER 1 - CHAPTER 6 Review all chapters FROM Samuels et al. (2016)	Ungraded Quiz - Google Form	Review your class notes

Week 5 (Oct 21 - Oct 24)

BEFORE CLASS	DURING CLASS	AFTER CLASS
Ch 6: Confidence Interval Section 6.3: CI for µ Section 6.4: Planning a Study to Estimate µ Section 6.5: Conditions for Validity of Estimation Methods FROM Samuels et al. (2016)	Lecture Slides - Factors Affecting CI	Weekly Assignment Exercise 6.4.1 DUE DATE: Sun, Oct 27
Midterm 1 (In-class)
Ch 6: Inference for Categorical Data Sec. 6.2 Difference of two proportions FROM Diez et al. (2022)	Lecture Slides - Association and Confounding Lecture Slides - Difference of Two Proportions	No Assignment for Today!
Ch 6: Inference for Categorical Data Sec. 6.2 Difference of two proportions FROM Diez et al. (2022)	Lab Activity - Dolphin Therapy (Applet)	Lab Assignment 3 DUE DATE: Sun, Oct 27

Week 6 (Oct 28 - Oct 31)

BEFORE CLASS	DURING CLASS	AFTER CLASS
Ch 6: Inference for Categorical Data Sec. 6.2 Difference of two proportions FROM Diez et al. (2022)	Lecture Slides - Lab 3 Review - Comparing Two Proportions	No Assignment for today!
Review these previous lecture slides Lecture Slides - Association and Confounding Lecture Slides - Difference of Two Proportions	Investigation 5 - Do COVID vaccines work?	Investigation 5 DUE DATE: Thu, Oct 31
CH 6: Confidence Intervals Section 6.6: Comparing two means Section 6.7: Confidence Interval for µ1 - µ2 FROM Samuels et al. (2016)	Lecture Slides - Comparing Two Means	Weekly Assignment Course Survey DUE DATE: Sun, Nov 03
Ch 7: Inference for Numerical Data 7.1.5 One sample t-tests FROM Diez et al. (2022) CH 6: Confidence Intervals Section 6.6: Comparing two means Section 6.7: Confidence Interval for µ1 - µ2 FROM Samuels et al. (2016)	Lab Slides - Applications of t-tests	Lab Assignment 4 DUE DATE: Sun, Nov, 03

Week 7 (Nov 4 - Nov 7)

BEFORE CLASS	DURING CLASS	AFTER CLASS
Ch 8: Comparison of Paired Samples Section 8.1: Introduction Section 8.2: The Paired-Sample t Test and Confidence Interval Section 8.3: The Paired Design FROM Samuels et al. (2016)	Lecture Slides - The Paired Design	Weekly Assignment Week 6 & 7 Review Assignment (CANVAS) DUE DATE: Sun, Nov 10
Ch 8: Comparison of Paired Samples Section 8.1: Introduction Section 8.2: The Paired-Sample t Test and Confidence Interval Section 8.3: The Paired Design FROM Samuels et al. (2016)	Investigation 6 - Document	Investigation 6 DUE DATE: Fri, Nov 08
Midterm 2 Due Date Today (Take Home)
Ch 8: Comparison of Paired Samples Section 8.1: Introduction Section 8.2: The Paired-Sample t Test and Confidence Interval Section 8.3: The Paired Design FROM Samuels et al. (2016)	Lab Slides - Paired Samples t-test	Lab Assignment 5 DUE DATE: Sun, Nov, 10

Week 8 (Nov 12 - Nov 14)

BEFORE CLASS	DURING CLASS	AFTER CLASS
Cal Poly Holiday (No class meeting)
Comprehensive Review of Weeks 1-7 Bring your midterm papers if you had (I’ll distribute them if you did not get)	Reviewed midterm questions	No Assignment for today!
Ch 6: Inference for Categorical Data Sect. 6.3 Testing for goodness of fit using chi-square Sect. 6.4 Testing for independence in two-way tables FROM Diez et al. (2022)	Lecture Slides - Chi Square Test	No assignment for today!
Ch 6: Inference for Categorical Data Sect. 6.3 Testing for goodness of fit using chi-square Sect. 6.4 Testing for independence in two-way tables FROM Diez et al. (2022)	Investigation 7 - Comparing Multiple Proportions	Investigation 7 DUE DATE: Sun, Nov 17

Week 9 (Nov 18 - Nov 21)

BEFORE CLASS	DURING CLASS	AFTER CLASS
Ch 11: Comparing the Means of Many Independent Samples Sec. 11.1 Introduction Sec. 11.2 The Basic One-Way ANOVA Sec. 11.4 The Global F Test Sec. 11.5 Applicability of Methods FROM Samuels et al. (2016)	Lecture Slides - Introduction to One Way ANOVA	Week 9 Individual Assignment (on CANVAS) DUE DATE: Sun, Nov 24
Ch 11: Comparing the Means of Many Independent Samples Sec. 11.1 Introduction Sec. 11.2 The Basic One-Way ANOVA Sec. 11.4 The Global F Test Sec. 11.5 Applicability of Methods FROM Samuels et al. (2016)	Investigation 8 - Comparing Multiple Means	Investigation 8 DUE DATE: Thu, Nov 21
Ch 11: Comparing the Means of Many Independent Samples Sec. 11.6 One-Way Randomized Blocks Design FROM Samuels et al. (2016)	Lecture Slides - One Way Randomized Blocks Design	Extra Credit (on CANVAS) DUE DATE: Thu, Nov 21
Ch 11: Comparing the Means of Many Independent Samples Sec. 11.1 Introduction Sec. 11.2 The Basic One-Way ANOVA Sec. 11.4 The Global F Test Sec. 11.5 Applicability of Methods FROM Samuels et al. (2016)	Lab Dataset - Aldrin Concentration Lab Slides - One-Way ANOVA	Lab Assignment 6 DUE DATE: Sun, Nov 24

Week 10 (Dec 2 -Dec 5)

BEFORE CLASS	DURING CLASS	AFTER CLASS
Ch 12: Linear Regression and Correlation Sec. 12.1 Introduction Sec. 12.2 The Correlation Coefficient FROM Samuels et al. (2016)	Lecture Slides - Correlation	No assignment for today
Ch 12: Linear Regression and Correlation Sec. 12.3 The Fitted Regression Line Sec. 12.4 Parametric Interpretation of Regression: The Linear Model Sec. 12.5 Statistical Inference Concerning \(\beta_1\) FROM Samuels et al. (2016)	Lecture Slides - Bivariate Regression	Week 10 Individual Assignment (on CANVAS) DUE DATE: Fri, Dec 06
Ch 12: Linear Regression and Correlation Sec. 12.1 Introduction Sec. 12.2 The Correlation Coefficient Sec. 12.3 The Fitted Regression Line Sec. 12.4 Parametric Interpretation of Regression: The Linear Model Sec. 12.5 Statistical Inference Concerning \(\beta_1\) FROM Samuels et al. (2016)	Lab Slides - Correlation & Bivariate Regression	Lab Assignment 7 DUE DATE: Fri, Dec 6
ALL CHAPTERS!	Ungraded Quiz - Google Form	Review your class notes