Math 110

Math 110 Elementary Statistics

CRN	Time	Days	Location	Final Exam Date	Final Exam Time
10158	4:30 —7:20PM	TWR	61-2310	July 31, 2025	4:30 — 7:20PM

Course Information
Instructor:	Rahim Faradineh E-mail: rfaradineh@mtsac.edu Phone: 323-260-8129
Course Overview:	In this class, we will learn how to collect data and .....
Recommended Textbook:	Elementary Statistics, CA 2nd Edition By Triola
Open Source Textbook:	Statistics Using Technology By Kathryn Kozak Purchase
Interactive Textbook:	Interactive Statistics Textbook
Syllabus:	Print/Save the course syllabus below for your record. course syllabus
Office Hours:	Mondays — Thursdays ↔ 11:30am - 1:00pm Fridays ↔ 8:30am - 11:30am
Important Dates:	Last day to withdraw without a W: June 30, 2025 Last day to withdraw with a W: July 16, 2025 Final Exam: July 31, 2025
Required Material:	TI-83, or TI-84 Calculator Internet Access With Printer

Study Guide Assignments With Resources
Click Here to Start

Summer 2025 Daily Notes & Zoom Lectures
Week	Tuesday	Wednesday	Thursday	Next Week Preview
I	Lecture 1 Zoom Lecture	Lecture 2 Zoom Lecture	Lecture 3 Zoom Lecture	Lists in TI Statistics With TI Grouped Data With TI
II	Lecture 4 Zoom Lecture	Lecture 5 Zoom Lecture	Lecture 6 Zoom Lecture	Venn Diagram I Venn Diagram II De Morgan's Law Probability and Odds
III	Lecture 7 Zoom Lecture	Lecture 8 Zoom Lecture	Lecture 9 Zoom Lecture	Binomial Probability (Part I) Binomial Probability (Part II)

Spring 2025 Weekly Notes & Zoom Lecture:
Week 1-4	Lecture 1 Zoom Lecture	Lecture 2 Zoom Lecture	Lecture 3 Zoom Lecture	Lecture 4 Zoom Lecture
Week 5-8	Lecture 5 Zoom Lecture	Lecture 6 Zoom Lecture	Lecture 7 Zoom Lecture	Lecture 8 Zoom Lecture
Week 9-12	Lecture 9 Zoom Lecture	Lecture 10 Zoom Lecture	Lecture 11 Zoom Lecture	Lecture 12 Zoom Lecture
Week 13-16	Lecture 13 Zoom Lecture	Lecture 14 Zoom Lecture	Lecture 15 Zoom Lecture	Final Exam

Winter 2025 Tentative Daily Notes & Zoom Lecture:
Week	Tuesday	Wednesday	Thursday	Weekend
Week 1	Lecture 1 Zoom Lecture	Lecture 2 Zoom Lecture	Lecture 3 Zoom Lecture	Lecture For SG 9 Zoom Lecture
Week 2	Lecture 4 Zoom Lecture	Lecture 5 Zoom Lecture	Lecture 6 Zoom Lecture	Lecture for SG 13 Zoom Lecture
Week 3	Lecture 7 Zoom Lecture	Lecture 8 Zoom Lecture	Lecture 9 Zoom Lecture	Lecture for SG 18 Zoom Lecture
Week 4	Lecture 10 Zoom Lecture	Lecture 11 Zoom Lecture	Lecture 12 Zoom Lecture	Extra Credit 3 Extra Credit 3 Video
Week 5	Lecture 13 Zoom Lecture	Lecture 14 Zoom Lecture	Lecture 15 Zoom Lecture	Testing R Testing Linear Correlation Study Guide 31
Week 6	Lecture 16 Zoom Lecture	Lecture 17 Zoom Lecture	Final Exam Day

Resources By Chapters
Chapter	Chapter Content	Chapter Summary	Additional Handouts
1	Chapter 1	Chapter 1	Statistics Sampling
2	Chapter 2	Chapter 2	Frequency Table Frequency Table and Graphs Histogram and TI
3	Chapter 3	Chapter 3	Formulas & More Raw Data Basic Computation & TI Variance & TI Clear List Content & TI Sort List Content & TI Boxplot & TI Boxplot, IQR & 5-Point Summary Empirical Rule Percentile Grouped Data Basic Computation & TI
4	Chapter 4	Chapter 4	Basic Probabilities Venn Diagram Pair of Dice Playing Cards Factorial & TI Combination & TI Permutation & TI Odds
5	Chapter 5	Chapter 5	Random Variable Probabilities Mean, SD, Variance & TI Lottery Problem Bionomial Probability Distribution & TI Bionomial Probability Distribution Key Words & TI Expected Value Chapter Summary Geometric Probability Distribution Poisson Probability Distribution
6	Chapter 6	Chapter 6	Standard Normal Distribution Normal Distribution Normal Distribution & TI Chart Standard Normal Distribution Examples & TI Normal Distribution Examples & TI Estimating Binomial Probability Distribution Using Normal Normal Probability Distribution & TI Estimation Chart
7	Chapter 7	Chapter 7	Confidence Interval with TI Confidence Interval & TI Sample Size Critical Values & TI
8	Chapter 8	Chapter 8	Hypothsis Testing I Hypothsis Testing II Hypothsis Testing Chart Testing Proportion Testing Mean Testing Standard Deviation Finding P-Value
9	Chapter 9	Chapter 9	Two Population Proportions Two Population Means (Case I) Two Population Means (Case II) Hypothsis Testing & TI Two Population Standard Deviations Dependent Samples (Matched Pairs)
10	Chapter 10	No Notes	Linear Correlation Coefficient & Regression Line Formulas Testing Linear Correlation Coefficient Correlation & Regression With TI R Test With TI
12	Chapter 12	No Notes	ANOVA & TI With Guided Example