Math 110

Math 110 Elementary Statistics

CRN	Time	Days	Location	Final Exam Date	Final Exam Time
20661	8:00-11:10AM	Fridays	61-2306	December 13, 2024	7:30-10:00AM
20577	11:30-2:40PM	Fridays	61-2306	December 13, 2024	10:30-1:00PM

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:	Virtual (Zoom): MW ↔ 5:00 - 7:00pm Virtual (Zoom): TTh ↔ 12:30 - 2:00pm
Important Dates:	Last day to withdraw without W: September 8, 2024 Last day to withdraw with W: November 1, 2024 Final Exam: December 13, 2024
Required Material:	TI-83, or TI-84 Calculator Internet Access With Printer

Study Guides & More
Enjoy Learning

Fall 2024 Tentative Weekly Schedule:
Week	Monday	Tuesday	Wednesday	Thursday
Week 1	Syllabus Signature Form		Study Guides 1-2 Lecture 1 Zoom Lecture
Week 2	Study Guides 1-2		Study Guides 3-4 Lecture 2 Zoom Lecture
Week 3	Study Guides 3-4		Study Guides 5-6 Lecture 3 Zoom Lecture
Week 4	Study Guides 5-6		Study Guides 7-8 Lecture 4 Zoom Lecture
Week 5	Study Guides 7-8		Study Guides 9 Lecture 5 Zoom Lecture
Week 6	Study Guide 9, Online Quizzes		Study Guides 10-11 Lecture 6 Zoom Lecture
Week 7	Study Guides 10-11		Study Guides 12-13 Lecture 7 Zoom Lecture
Week 8	Study Guides 12-13		Study Guides 14-15 Lecture 8 Zoom Lecture
Week 9	Study Guides 14-15		Study Guides 16-17 Lecture 9 Zoom Lecture
Week 10	Study Guides 16-17		Exam II Lecture 10 Zoom Lecture
Week 11	Study Guides 18-19		Study Guides 20-21 Lecture 11 Zoom Lecture
Week 12	Study Guides 20-21		Study Guides 22-23 Lecture 12 Zoom Lecture
Week 13	Study Guides 22-23		Study Guides 24-25 Lecture 13 Zoom Lecture
Week 14	Study Guides 24-25		Study Guides 24-25 Lecture 14 Zoom Lecture

Fall 2024 Weekly Notes & Zoom Lecture:
Week	Honor Class		Regular Class
Week 1	Lecture 1 Zoom Lecture		Lecture 1 Zoom Lecture
Week 2	Lecture 2 Zoom Lecture		Lecture 2 Zoom Lecture
Week 3	Lecture 3 Zoom Lecture		Lecture 3 Zoom Lecture
Week 4	Lecture 4 Zoom Lecture		Lecture 4 Zoom Lecture
Week 5	Lecture 5 Zoom Lecture		Lecture 5 Zoom Lecture
Week 6	Lecture 6 Zoom Lecture		Lecture 6 Zoom Lecture
Week 7	Lecture 7 Zoom Lecture		Lecture 7 Zoom Lecture
Week 8	Lecture 8 Zoom Lecture		Lecture 8 Zoom Lecture
Week 9	Lecture 9 Zoom Lecture		Lecture 9 Zoom Lecture
Week 10	Lecture 10 Zoom Lecture		Lecture 10 Zoom Lecture
Week 11	Lecture 11 Zoom Lecture		Lecture 11 Zoom Lecture
Week 12	Lecture 12 Zoom Lecture		Lecture 12 Zoom Lecture
Week 13	Lecture 13 Zoom Lecture		Lecture 13 Zoom Lecture

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