An introduction to the basic ideas and techniques of probability and statistics. Topics may include numerical and graphical descriptive measures, probability, random variables, the normal distribution, sampling theory, estimation, hypothesis testing, correlation and regression. The use of technology may be required. Students must take a math assessment for placement purposes prior to registration. Prerequisite: Foundations of Algebra or equivalent skills.
1. Outline the general development of statistical science and list a number of common applications of statistical methodology.
2. Distinguish between descriptive and inferential statistics.
3. Create and apply various techniques used to describe data, such as pie charts, bar graphs, frequency tables, and histograms.
4. Define three common measures of central tendency (mean, median, and mode), and demonstrate the ability to calculate each manually from a series of small data sets.
5. Describe common methods of measuring variability, including range, percentiles, variance, and standard deviation and calculate each from a series of small data sets.
6. Explain the Normal Probability Distribution, techniques of sampling, the Central Limit Theorem, and the concept of standard error, and compute probabilities associated with normally distributed samples.
7. Test hypotheses about the value of the mean assuming the normal distribution and large sample results.
8. Select and perform common statistical tests including one- and two-tailed tests.
9. Define linear regression and correlation and discuss their applications.
10. Interpret and evaluate the validity of statistical data and reports.
11. Demonstrate proficiency in understanding, interpreting, evaluating and applying quantitative data and information.
12. Apply mathematical reasoning to analyze social justice problems in a variety of different contexts and consider whether these approaches are just and equitable.
Fall 2021 textbook data will be available on May 3.
On that date a link will be available below that will take you to eCampus, CCV's bookstore. The information provided there will be for this course only. Please see this page for more information regarding the purchase of textbooks.
Statistics I Syllabus
This course focuses on the use of statistics as a tool to help you navigate your way through an uncertain world of stats, facts, data, information, and persuasive arguments generated by entities that may not have your best interest in mind. As a consumer of information it is important to know when this information is significant and when it is meaningless. As a distributor of information it is useful to know how to present your data/argument in a clear and truthful manner. As a decision maker it is useful to know how to base decisions on statistical evidence and protect yourself from uncertainties. All of this analysis does require a certain attention to detail and mathematical rigor. This course does not require the algebraic manipulations you would find in an Algebra/Trig or Calculus course but the appropriate interpretation of your answers is much more subtle and requires some abstract thinking.
This is an interactive online course. It is designed for all types of learners. So, each section is set up for the student to read a little, watch a little, and do a little. All of this will be done in MyLab.
Textbook: This is online homework portal. An etext of the book will be available. If you learn best with a textbookthen also purchase the textbook.
MyLab Statistics with Pearson eText -- 18 Week Standalone Access Card -- for Interactive Statistics Informed Decisions Using Data with Integrated Review
by Sullivan, Michael, III; Woodbury, George
Edition: 2nd
ISBN: 9780135901106
Format: Nonspecific Binding
Pub. Date: 6/25/2019
Office hours: I will have scheduled office hours via Zoom meetings to assist students with subject matter.
MyMathLab is an interactive website where you can:
· Self-test & work through practice exercises with step-by-step help to improve your understanding.
· Study more efficiently with a personalized study plan and exercises that match your book.
· Get help when YOU need it. MyMathLab includes multimedia learning aids, videos, animations.
Assignment Schedule
Week 0 (8/31) Week before class starts
Orientation
Week 1 (9/07)
1.1 – Introduction to the Practice of Statistics
1.2 – Observational Studies and Designed Experiments
1.3 – Simple Random Sampling
Week 2 (9/14)
1.4 – Other Effective Sampling
1.5 – Sources of Error in Sampling
1.6 – The Design of Experiments (objectives 1 - 4) Optional
Week 3 (9/21)
2.1 – Organizing Qualitative Data
2.2 – Organizing Quantitative Data
2.4 – Graphical Misrepresentations of Data
Week 4 (9/28)
3.1 – Measures of Central Tendency
3.2 – Measures of Dispersion
3.4 – Measures of Position
3.5 – The Five-Number Summary
Exam #1
Week 5 (10/05)
4.1 – Scatter Diagrams and Correlation
4.2 – Least-Squares Regression
4.3 – The Coefficient of Determination (R2) not in the summer 2020
Week 6 (10/12)
5.1 – Probability Rules
5.3 – Independence and the Multiplication Rule (focus on independent events)
5.5 – Counting Techniques
5.6 – Simulation
Week7 (10/19)
6.1 – Discrete Random Variables
6.2 – The Binomial Probability Distribution
Chapter 5 & 6 Review Quiz
Week 8 (10/26)
7.1 – Properties of the Normal Distribution
7.2 – Applications of the Normal Distribution
7.3 – Assessing Normality
7.4 - The Normal Approximation to the Binomial Probability Distribution (not this semester)
Week 9 (11/02)
6.1, 6.2, 7.1- 7.3 Exam #2
8.1 – Distribution of the Sample Mean
8.2 – Distribution of the Sample Proportion
This activity will involve simulating data to compare theoretical data to the normal probability model
Week 10 (11/09)
9.1 – Constructing Confidence Intervals
9.2 – Confidence Intervals about a Population Proportion
9.3 – Confidence Intervals about a Population Mean
9.4 – Putting It All Together
Week 11 (11/16)
Exploring the Effects of Confidence Level, Sample Size, and Shape
Week 12 (11/23)
10.1 – The Language of Hypothesis Testing
10.2A – Hypothesis Tests for a Population Proportions using Simulations
Week 13 (11/30)
10.2B– Hypothesis Tests for a Population Mean using Simulations
10.4 – Putting It All Together
Week 14 (12/07)
11.1A – Randomization Tests for Two Independent Proportions
11.1 – Inference about Two Population Proportions
11.2 – Inference about Two Means: Dependent Samples
11.3A – Randomization Tests for Two Independent Means
11.3– Inference about Two Means: Independent Samples
11.4 – Putting It All Together
Week 15 (12/14)
Exam #3
Course Grading and Information:
Assignments
Interactive-Reading: you are expected to complete the Interactive Reading Assignment (IRA) found in MyStatLab and fill in the Guided Notebook as you watch videos.
Once you complete the IRA who can begin homework assignments.
Here is a video and file on how to embed an image to the Canvas discussion forum: Uploading image to discussion forum
https://community.canvaslms.com/docs/DOC-10700-4212190965
Course Grading
It should be noted that the final responsibility for learning lies with the student. The average will be determined by the following guidelines:
Quizzes and Exams: Dates are announced on MyLab via Canvas. Students are required to take all exams at the appointed times.
Missed Assignments and Make-up Policy: Late Work, Attendance, and Make Up Work Policies:
Due dates for online assignments are clearly stated in MML. It is my policy to replace a student’s lowest test grade with the final exam at the end of the course.
Strategies for Success!
Ask, Ask, Ask
Any and all questions are important (and are, therefore, welcome and encourage). Please feel free to ask questions anytime. If you do not understand something, it is essential that you ask questions (and get answers) so that you do understand, in order to be successful.
Final Grades will be based on the following percentages:
|
RA / Homework & Section Quiz
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30%
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|
Quizzes
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30%
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|
Tests
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40%
|
|
Discussion(Canvas)
|
NA
|
|
Total
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100%
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Grading Criteria:
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A+ 98 - 100
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B+ 88 - 89
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C+ 78 - 79
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D+ 68 - 69
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S (70% or greater) Satisfactory
|
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A 93 - 97
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B 83 - 87
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C 73 - 77
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D 63 - 67
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N (Less than 70%)Unsatisfactory
|
|
A- 90 - 92
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B- 80 - 82
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C- 70 - 72
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D- 60 - 62
|
|
Attendance Policy:
Each class meeting runs from Tuesday morning at Midnight and runs through the following Monday night 11:59 PM. (ONLINE CLASSES ONLY)
As per Online Course policy, your first discussion board post must occur before Saturday night at Midnight each week. (Topics will be determined/assigned as the course progresses)(ONLINE CLASSES ONLY)
While I do not have a set number of class meetings that you can miss before you cannot pass the course, students that miss more than 2 class meetings (This is three weeks of the course) tend not get the grade they desire.
Extraordinary Circumstances: Life sometimes presents us with unexpected obstacles outside of our control. If you have an extraordinary situation that prevents you from completing coursework in a timely manner, please let me know as soon as possible. If you wish to complete the requirements of the course and are willing to commit the time and effort necessary to make up work on a reasonably negotiated and agreed upon schedule, arrangements can be made to support you.
Faculty Contact Information:
Email Address: Miriam.Dash@ccv.edu
Hiring Coordinator for this course: Debra Grant
Syllabus: Please note that this is subject to change based on the needs of the class. Internet access is required for this class Homework and tests/quizzes are all done online on My Math Lab. Grades are located in the My Math Lab gradebook in the appropriate categories.
Please note: In order to receive accommodations for disabilities in this course, students must make an appointment to see the Americans with Disabilities Coordinator in their site and bring documentation with them.
Academic Honesty: CCV has a commitment to honesty and excellence in academic work and expects the same from all students. Academic dishonesty, or cheating, can occur whenever you present -as your own work- something that you did not do. You can also be guilty of cheating if you help someone else cheat. Being unaware of what constitutes academic dishonesty (such as knowing what plagiarism is) does not absolve a student of the responsibility to be honest in his/her academic work. Academic dishonesty is taken very seriously and may lead to dismissal from the College.
Having someone else do your online assignments (homework and quizzes) is a violation of the academic integrity policy and either may result in failing grades and/or being dropped from the class. Infractions such as these will be reported to the administration for tracking and possible college action.(ONLINE CLASSES ONLY)
You will want to be sure to check your CCV and Canvas email regularly and/or you can download the Canvas student android / IOS mobile app. You may also want to forward your CCV and Canvas Email to your personal account. Here are the instructions for how to do that. No better time than now if you have not done it yet because that is how your instructors will be contacting you.
To Forward Your CCV and Canvas Email to our personal account:
Browser Settings for MyLab
1. Click on the gear icon in the top right corner.
2. Under My app settings, choose Mail.
3. You will now be on the Mail Options page. There are four different menu option on the left: General, Mail, Calendar, and People. Click on Mail.
4. Choose Accounts from the submenu.
5. Choose Forwarding.
6. Choose Start Forwarding and enter the email address you would like your email forwarded to. You may also elect to save a copy of the email in your Outlook mailbox.
7. When you are done click Save.
Course description details subject to change.
