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MATH 110 (Introduction to Statistics and Probability) Book

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"Introduction to Statistics and Probability (MATH 110) provides a comprehensive introduction to the fundamental concepts and methods of statistics and probability. This textbook covers the basics of data analysis, probability theory, statistical inference, and data visualization. Students will develop problem-solving skills and analytical thinking through worked examples, exercises, and real-world applications. Topics Covered: - Introduction to Statistics - Descriptive Statistics - Probability Theory - Discrete and Continuous Random Variables - Sampling Distributions - Confidence Intervals - Hypothesis Testing - Regression Analysis - Data Visualization Target Audience: - College students - University students - High school students (AP Statistics) - Mathematics majors - Business, economics, and social science students - Anyone interested in learning statistics and probability Learning Outcomes: - Understand descriptive statistics - Apply probability theory - Analyze data using statistical methods - Interpret results of hypothesis tests - Create data visualizations - Understand regression analysis

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MATH 110 -
INTRODUCTION TO
STATISTICS - MODULE




Los Medanos College

, Los Medanos College
Math 110 - Introduction to Statistics - Module

,This text is disseminated via the Open Education Resource (OER) LibreTexts Project (https://LibreTexts.org) and like the hundreds
of other texts available within this powerful platform, it is freely available for reading, printing and "consuming." Most, but not all,
pages in the library have licenses that may allow individuals to make changes, save, and print this book. Carefully
consult the applicable license(s) before pursuing such effects.
Instructors can adopt existing LibreTexts texts or Remix them to quickly build course-specific resources to meet the needs of their
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The LibreTexts mission is to unite students, faculty and scholars in a cooperative effort to develop an easy-to-use online platform
for the construction, customization, and dissemination of OER content to reduce the burdens of unreasonable textbook costs to our
students and society. The LibreTexts project is a multi-institutional collaborative venture to develop the next generation of open-
access texts to improve postsecondary education at all levels of higher learning by developing an Open Access Resource
environment. The project currently consists of 14 independently operating and interconnected libraries that are constantly being
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The LibreTexts libraries are Powered by NICE CXOne and are supported by the Department of Education Open Textbook Pilot
Project, the UC Davis Office of the Provost, the UC Davis Library, the California State University Affordable Learning Solutions
Program, and Merlot. This material is based upon work supported by the National Science Foundation under Grant No. 1246120,
1525057, and 1413739.
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not
necessarily reflect the views of the National Science Foundation nor the US Department of Education.
Have questions or comments? For information about adoptions or adaptions contact . More information on our
activities can be found via Facebook (https://facebook.com/Libretexts), Twitter (https://twitter.com/libretexts), or our blog
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This text was compiled on 12/19/2023

, TABLE OF CONTENTS
Licensing

Section 1.1
1.1 Definitions of Statistics, Probability, and Key Terms
Lab Assignment 1.1
Self-Check 1.1


Section 1.2
1.2 Data, Sampling, and Variation in Data and Sampling
Lab Assignment 1.2
Self-Check 1.2


Section 1.3
1.3 Frequency, Frequency Tables, and Levels of Measurement


Section 1.4
1.4 Experimental Design
Lab Assignment 1.3, 1.4
Self-Check 1.3, 1.4


Section 2.1
2.1 Stem-and-Leaf Plots (Stemplots) and Bar Graphs


Section 2.2
2.2 Frequency Table and Histograms
Lab Assignment 2.1, 2.2
Self-Check 2.1, 2.2


Section 2.3
2.3 Measures of the Location of the Data


Section 2.4
2.4 Box Plots
Lab Assignment 2.3, 2.4
Self-Check 2.3, 2.4


Section 2.5
2.5 Measures of Center of the Data


Section 2.6
2.6 Skewness and the Mean, Median, and Mode




1 https://stats.libretexts.org/@go/page/36572

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