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, 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 ,
weekly assignments ,
group assignments and
due dates ,

all conveniently organized for your academic journey.

Week 1 (Jan 8 - Jan 11)

BEFORE CLASS	DURING CLASS	AFTER CLASS
Nothing, just come to the class!	Covering the website & syllabus   A Discussion on Life Science and Statistics     Watching short videos     1. Using data to better understand agriculture.     2. Using statistics to treat chronic illnesses.	The best stats you’ve ever seen   Group Formation   Week 1 Assignment       A short paragraph on the life science       and statistics DUE DATE: Sun, Jan 14
CH 1: Introduction   Section 1.2: Types of Evidence   FROM Samuels et al. (2016)	Lecture Slides - Types of Evidence     Guided Classroom Activity	Week 1 Assignment       Exercises 1.2.2; 1.2.4; and 1.2.6 DUE DATE: Sun, Jan 14
CH 1: Introduction   Section 1.3: Random Sampling   FROM Samuels et al. (2016)	Lecture Slides - Random Sampling     Guided Classroom Activity	Week 1 Assignment       Exercises 1.3.3 DUE DATE: Sun, Jan 14
Introduction to R and RStudio – Lab 1   Install R   Install RStudio	Lab Slides - Hello R!	Review the lab session materials (No submission for this lab)

Week 2 (Jan 15 - Jan 18)

BEFORE CLASS	DURING CLASS	AFTER CLASS
No Class Today !
Ch 2: Description of Samples and Populations   Section 2.1: Introduction to Variables   Section 2.2: Frequency Distributions   FROM Samuels et al. (2016)	Lecture Slides - Variables and Frequency Distributions	Exercises 2.1.1; 2.2.6 DUE DATE: Sun, Jan 21
Introduction to Quarto – Lab 2	Review 1 - Quiz (On Canvas)     Lab Slides - Hello Quarto!	Lab Assignment 1 DUE DATE: Sun, Jan 21
Ch 2: Description of Samples and Populations   Section 2.3: Descriptive Statistics   FROM Samuels et al. (2016)	Lecture Slides - Shapes, Center and Spread of a Distribution     Guided Activity	Exercise 2.3.3 and Exercise 2.3.10 DUE DATE: Sun, Jan 21

Week 3 (Jan 22 - Jan 25)

BEFORE CLASS	DURING CLASS	AFTER CLASS
Probability and the Life Sciences   Section 2.6: Measures of Dispersion   Section 3.1: Probability and the Life Sciences   Section 3.2: Introduction to Probability (only pp.83-85)   FROM Samuels et al. (2016)	Lecture Slides - Spread of a Distribution & Introduction to Probability	Exercise 2.6.2 and Exercise 2.6.8   DUE DATE: Sun, Jan 28
CH 4: The Normal Distribution   Section 4.1: Introduction   Section 4.2: The Normal Curves   Section 4.3: Areas under a Normal Curve   FROM Samuels et al. (2016)	Review 2 - Quiz (On Canvas)     Lecture Slides - Introduction to the Normal Distribution	Exercise 4.3.5 DUE DATE: Sun, Jan 28
Ch 2: Description of Samples and Populations   Section 2.3: Descriptive Statistics   Section 2.5: Relationship between Variables   FROM Samuels et al. (2016)	Lab Slides - Descriptive Statistics	Lab Assignment 2 (GROUP) DUE DATE: Sun, Jan 28
CH 4: The Normal Distribution   Section 4.4: Assessing Normality   Section 4.5: Perspective	Lecture Slides - Assessing Normality	Exercises 4.4.4 and 4.4.8 DUE DATE: Sun, Jan 28

Week 4 (Jan 29 - Feb 1)

BEFORE CLASS	DURING CLASS	AFTER CLASS
Ch 5: Sampling Distribution   Section 5.1: Basic Ideas   Section 5.2: The Sample Mean   FROM Samuels et al. (2016)	Lec. Slides - Sampling Distribution	Exercise 5.2.8   DUE DATE: Sun, Feb 4
Ch 6: Confidence Interval   Section 6.1: Statistical Estimation   Section 6.2: Standard Error of the Mean   Section 6.3: Section 6.3: Confidence Interval for µ   FROM Samuels et al. (2016)	Lec. Slides - Statistical Estimation & Confidence Interval     Course Check-in Survey (On Canvas)	NO ASSIGNMENT
Ch 2: Description of Samples and Populations   Section 2.5: Relationship between Variables   FROM Samuels et al. (2016)	Lab Slides - Data Visualization     Lab Worksheet - DOWNLOAD	Lab Assignment 3 (GROUP) DUE DATE: Sun, Feb 11
CH 1 - CH 4: Review All Course Materials	Midterm Review (On Canvas)	NO ASSIGNMENT

Week 5 (Feb 5 - Feb 8)

BEFORE CLASS	DURING CLASS	AFTER CLASS
Midterm 1 (In-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 - Student’s \(t\) Distribution	Exercises 6.4.1 DUE DATE: Sun, Feb 11
Ch 6: Confidence Interval   Section 6.6: Comparing two means   Section 6.7: Confidence Interval for µ1 - µ2	Lecture Slides - Comparing Two Means	Exercise 6.7.11 DUE DATE: Sun, Feb 11
Ch 7: Comparison of Two Independent Samples   The Entire Chapter 7 EXCEPT for Section 7.10   FROM Samuels et al. (2016)	Lecture Slides - Introduction to Hypothesis Testing & Comparison of Independent Samples	Exercise 7.2.9 DUE DATE: Sun, Feb 11

Week 6 (Feb 12 - Feb 15)

BEFORE CLASS	DURING CLASS	AFTER CLASS
Ch 7: Inference for Numerical Data   7.1.5 One sample t-tests    FROM Diez et al. (2022)   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)	Midterm Project Instructions - READ THIS     Lecture Slides - One sample t-tests and paired sample t test	NO ASSIGNMENT
Chapter 7 & Chapter 8   Review your notes of Ch 7 & 8   FROM Samuels et al. (2016)   FROM Diez et al. (2022)	t tests Worksheet (DOWNLOAD or PRINT)(on CANVAS)     Ungraded Quiz - Review of t tests     \(P\) - value calculator	NO ASSIGNMENT
Chapter 7 & Chapter 8   Review your notes of Ch 7 & 8   FROM Samuels et al. (2016)   FROM Diez et al. (2022)	Lab Worksheet - DOWNLOAD     Lab Dataset - DOWNLOAD     Lab Slides - t-tests	Lab Assignment 4 (GROUP)       Upload the lab worksheet we will work on in class. DUE DATE: Sun, Feb 18
Review of Ch.7 & Ch.8	Lecture Slides & Lab Slides of This Week	NO ASSIGNMENT

Week 7 (Feb 19 - Feb 22)

BEFORE CLASS	DURING CLASS	AFTER CLASS
No Class Today !
Ch 6: Inference for Categorical Data   Sec. 6.1 Inference for a single proportion    FROM Diez et al. (2022)	Lecture Slides - Inference for a single proportion	Exercise 6.8 (c), (d), (e) FROM Diez et al. (2022) DUE DATE: Sun, Feb 25
Ch 6: Inference for Categorical Data   Sec. 6.2 Difference of two proportions    FROM Diez et al. (2022)	Lecture Slides - Inference for Categorical Data	NO ASSIGNMENT
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)	Lab Worksheet - DOWNLOAD     Lab Slides - Chi-square tests	Lab Assignment 5 (GROUP) DUE DATE: Sun, Feb 25

Week 8 (Feb 26 - Feb 29)

BEFORE CLASS	DURING CLASS	AFTER CLASS
Ch 6: Inference for Categorical Data   Chapter Review     FROM Diez et al. (2022)	Lecture Slides - Chi-Square Test, Relative Risk and the Odds Ratio     Lecture Worksheet - DOWNLOAD	Take-Home Midterm DUE DATE: Fri, Feb 29
Comprehensive Review of Weeks 1-7	Review Quiz (UNGRADED)	Take-Home Midterm DUE DATE: Fri, Feb 29
Ch 12: Linear Regression and Correlation   Sec. 12.1 Introduction     Sec. 12.2 The Correlation Coefficient     FROM Samuels et al. (2016)	Lecture Slides - Correlation     Lecture Worksheet - DOWNLOAD	Take-Home Midterm DUE DATE: Fri, Feb 29
Midterm Project Topics	In-Class Q&A: Take-Home Midterm Topics	Take-Home Midterm DUE DATE: Fri, Feb 29

Week 9 (Mar 4 - Mar 7)

BEFORE CLASS	DURING CLASS	AFTER CLASS
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 - Least Squares Regression	Week 9 Individual Assignment (on CANVAS) DUE DATE: Sun, Mar 10
Ch 12: Linear Regression and Correlation	Lab Worksheet - Correlation & LSR (DOWNLOAD)     Lab Slides - Correlation & LSR	Lab Assignment 6 DUE DATE: Sun, Mar 10
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 Worksheet (DOWNLOAD)     Lecture Slides - One-Way ANOVA	NO ASSIGNMENT
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 Worksheet - DOWNLOAD     Lab Dataset - DOWNLOAD     Lab Slides - One-Way ANOVA	Lab Assignment 6 DUE DATE: Sun, Mar 10

Week 10 (Mar 11 - Mar 14)

BEFORE CLASS	DURING CLASS	AFTER CLASS
Ch 11: Comparing the Means of Many Independent Samples   Sec. 11.6 One-Way Randomized Blocks Design     Sec. 11.7 Two-Way ANOVA     FROM Samuels et al. (2016)	Lecture Slides - Randomized Blocks Design & Two-Way ANOVA	NO ASSIGNMENT
Ch 11: Comparing the Means of Many Independent Samples   Sec. 11.9 Multiple Comparisons     FROM Samuels et al. (2016)	Lab Slides - Two-Way ANOVA     Lab Worksheet - DOWNLOAD	Lab Assignment 7 DUE DATE: Sun, Mar 17
All chapters given above   FROM Samuels et al. (2016) & FROM Diez et al. (2022)	Mock Final (On CANVAS)	NO ASSIGNMENT
Final Project Topics	In-Class Q&A: Take-Home Final Topics	Take-Home Final DUE DATE: Tue, Mar 19