MATH A160 - INTRODUCTION TO STATISTICS
SYLLABUS
See Canvas for Syllabus
TEXTBOOK
Statistics, Informed Decisions Using Data 5th edition
by Michael Sullivan III
ISBN-13: 9780134133539
OCC Custom Edition Package can be purchased from the bookstore:
CLICK HERE
ebook can be purchased directly from publisher: CLICK HERE
Textbook can be rented from Chegg.com: CLICK HERE
TABLES
Tables & Formulas
Table I - Random Numbers
Table II - Critical Values for Correlation Coefficient
Table V - Standard Normal Distribution Table
Table - Normal Scores
Table VII - Critical Values of t-Distribution Table
Table VIII - Critical Values of Chi-Square Distribution Table
Table IX - Critical Values of F-Distribution Table
HANDOUTS
Section 1.1 - Introduction to the Practice of Statistics
Section 1.2 - Observational Studies versus Designed Experiments
Section 1.3 - Simple Random Sampling
Section 2.1 - Organizing Qualitative Data
Section 2.2 - Organizing Quantitative Data: The Popular Ways
Section 3.1 - Measures of Central Tendency
Section 3.2 - Measures of Dispersion
Section 3.4 - Measures of Position and Outliers
Section 3.5 - The Five-Number Summary and Boxplots
Section 4.1 - Scatter Diagrams and Correlation
Section 4.2 - Least-Squares Regression
Section 4.4 - Contingency Tables and Association
Section 5.1 - Probability Rules
Section 5.2 - The Addition Rule and Complements
Section 5.3 - Independence and the Multiplication Rule
Section 5.4 - Conditional Probability and the General Multiplication Rule
Section 6.1 - Discrete Random Variables
Section 6.2 - The Binomial Probability Distribution
Section 7.1 - Properties of the Normal Distribution
Section 7.2 - Applications of the Normal Distribution
Section 7.3 - Assessing Normality
Section 8.1 - Distribution of the Sample Mean
Section 8.2 - Distribution of the Sample Proportion
Section 9.1 - Estimating a Population Proportion
Section 9.2 - Estimating a Population Mean
Section 10.1 - The Language of Hypothesis Testing
Section 10.2 - Hypothesis Tests for a Population Proportion
Section 10.3 - Hypothesis Tests for a Population Mean
Section 11.1 - Inference about Two Population Proportions
Section 11.3 - Inference about Two Means: Independent Samples
Section 12.1 - Goodness-of-Fit Test
Section 13.1 - Comparing Three or More Means (ANOVA)
TI 83+/84+ HANDOUTS
TI Handout #A - Introduction to the TI 84+
TI Handout #B - Graphing Using the TI 84+
TI Handout #1 - Histograms
TI Handout #2 - Various Statistics
TI Handout #3 - Linear Regression
TI Handout #4 - The Binomial Distribution
TI Handout #5 - The Poisson Distribution
TI Handout #6 - The Normal Distribution
TI Handout #7 - Confidence Intervals
TI Handout #8 - Hypotheses Tests
TI Handout #9 - Chi-Square Goodness-of-Fit Test
TI Handout #10 - One-Way ANOVA Test
PROJECTS
Project 1 - Analyzing Data
Project 2 - Chi-Square Analysis using M&M’s
EXAM REVIEWS
Exam 1 - Review
Exam 2 - Review
Exam 3 - Review
Final Exam - Review Sections & Specific Topics
SYLLABUS
See Canvas for Syllabus
TEXTBOOK
Statistics, Informed Decisions Using Data 5th edition
by Michael Sullivan III
ISBN-13: 9780134133539
OCC Custom Edition Package can be purchased from the bookstore:
CLICK HERE
ebook can be purchased directly from publisher: CLICK HERE
Textbook can be rented from Chegg.com: CLICK HERE
TABLES
Tables & Formulas
Table I - Random Numbers
Table II - Critical Values for Correlation Coefficient
Table V - Standard Normal Distribution Table
Table - Normal Scores
Table VII - Critical Values of t-Distribution Table
Table VIII - Critical Values of Chi-Square Distribution Table
Table IX - Critical Values of F-Distribution Table
HANDOUTS
Section 1.1 - Introduction to the Practice of Statistics
Section 1.2 - Observational Studies versus Designed Experiments
Section 1.3 - Simple Random Sampling
Section 2.1 - Organizing Qualitative Data
Section 2.2 - Organizing Quantitative Data: The Popular Ways
Section 3.1 - Measures of Central Tendency
Section 3.2 - Measures of Dispersion
Section 3.4 - Measures of Position and Outliers
Section 3.5 - The Five-Number Summary and Boxplots
Section 4.1 - Scatter Diagrams and Correlation
Section 4.2 - Least-Squares Regression
Section 4.4 - Contingency Tables and Association
Section 5.1 - Probability Rules
Section 5.2 - The Addition Rule and Complements
Section 5.3 - Independence and the Multiplication Rule
Section 5.4 - Conditional Probability and the General Multiplication Rule
Section 6.1 - Discrete Random Variables
Section 6.2 - The Binomial Probability Distribution
Section 7.1 - Properties of the Normal Distribution
Section 7.2 - Applications of the Normal Distribution
Section 7.3 - Assessing Normality
Section 8.1 - Distribution of the Sample Mean
Section 8.2 - Distribution of the Sample Proportion
Section 9.1 - Estimating a Population Proportion
Section 9.2 - Estimating a Population Mean
Section 10.1 - The Language of Hypothesis Testing
Section 10.2 - Hypothesis Tests for a Population Proportion
Section 10.3 - Hypothesis Tests for a Population Mean
Section 11.1 - Inference about Two Population Proportions
Section 11.3 - Inference about Two Means: Independent Samples
Section 12.1 - Goodness-of-Fit Test
Section 13.1 - Comparing Three or More Means (ANOVA)
TI 83+/84+ HANDOUTS
TI Handout #A - Introduction to the TI 84+
TI Handout #B - Graphing Using the TI 84+
TI Handout #1 - Histograms
TI Handout #2 - Various Statistics
TI Handout #3 - Linear Regression
TI Handout #4 - The Binomial Distribution
TI Handout #5 - The Poisson Distribution
TI Handout #6 - The Normal Distribution
TI Handout #7 - Confidence Intervals
TI Handout #8 - Hypotheses Tests
TI Handout #9 - Chi-Square Goodness-of-Fit Test
TI Handout #10 - One-Way ANOVA Test
PROJECTS
Project 1 - Analyzing Data
Project 2 - Chi-Square Analysis using M&M’s
EXAM REVIEWS
Exam 1 - Review
Exam 2 - Review
Exam 3 - Review
Final Exam - Review Sections & Specific Topics
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