Statistics
STAT200 — Statistics, 3.0 hours
This course will introduce you to business statistics, or the application of statistics in the workplace. Statistics is a course in the methods for gathering, analyzing, and interpreting data for decision-making and predicting future outcome. You will get the basic understanding of descriptive and inferential statistics including the base of mean and probability distribution.
Program Objectives
- Understand how to use different sampling techniques with data, how to carry out a statistical experiment, and how data from an experiment can be collected and organized.
- Learn different techniques to organize, visualize, and summarize data collected from an experience.
- Make use of different computations to interpret data and perform data analysis, as well as learn the basics of the field of probability theory.
- Compute probabilities of different real-world events, organizing all possible outcomes of an event, and use random variables and probability distributions to further analyze the probabilities of certain events.
- Understand binomial experiments as well as binomial, geometric, and Poisson distributions
- Learn about the normal probability distribution and its graph, and use areas under the normal curve to compute the probability of standardized events, find the values of a random variable given the probability, and explain the shape a normal curve.
- Review terminology related to sampling and use sampling distributions to analyze the mean of a set of data.
- Construct and interpret confidence intervals.
- Formulate hypothesis tests involving samples from one and two populations, and select the appropriate technique for testing a hypothesis and interpret the result.
- Apply a chi-square distribution and linear regression estimation and interpret the results.
Professor
Lauren graduated from Marietta College in 2003 with a Bachelor of Science in Mathematics and a minor in Philosophy. She received her Master of Science in 2006 from The University of Akron in Applied Mathematics. During her time at UA, Lauren was a member of the math honorary Pi Mu Epsilon and Women in Mathematics. While completing her Masters research from 2005-2006, she worked as a Statistician at American Greetings in Cleveland, Ohio. From 2006-2011, she completed coursework and research towards a Ph.D. in Engineering Applied Mathematics at The University of Akron. Throughout her time at Akron, she was employed as a Graduate Assistant and taught many courses in the Mathematics department.
From 2011-2013, Lauren was employed as a Visiting Assistant Professor of Mathematics at her undergraduate alma mater, Marietta College. She had the opportunity to teach courses ranging from College Algebra to Differential Equations. In 2013, she decided to make a career change and venture into the insurance industry. She was employed by Farmers Insurance as a Senior Product Analyst until September 2016. After leaving Farmers in late 2016 and after the birth of her daughter, Josie, she decided to return to teaching mathematics at the college level. She taught at Ventura College in Ventura, California during the 2016-2017 school year and was employed full-time as a lecturer at Cuyahoga Community College from 2017-2019. Since the birth of her daughter, Kendall, she has been teaching part-time at various colleges and universities. She recently completed her MBA in Data Analytics from Tiffin University and has been working part-time developing online educational resources in mathematics. She is proficient in various programming languages, mathematical and statistical software, business intelligence software, and is very experienced with MS Excel and Access.
Other than teaching, Lauren’s hobbies include yoga, hiking, running, cooking, gardening, and spending time with her daughters and husband.
Online Support (IT) and Moodle Navigation
All members of the Lakewood University community who use the University’s computing, information or communication resources must act responsibly. Support is accessible by calling 1-800-517-0857 option 2 or by emailing info@lakewood.edu
Books and Resources
Homework link:
https://www.myopenmath.com/index.php
Course ID 116393
Course Name: Statistics
Enrollment key: Lakewood123
TI-84+ Quick Reference Sheet
Evaluation Method
Graded work will receive a numeric score reflecting the quality of performance.
Course Requirement Summary
- Assignments - Total of 160 Points
- Discussion Forums - Total of 75 Points
- Midterm - 125 Points
- Final Exam - 125 Points
Grading Scale
Graded work will receive a numeric score reflecting the quality of performance as given above in evaluation methods. The maximum number of points a student may earn is 160. To determine the final grade, the student's earned points are divided by 160.
Your overall course grade will be determined according to the following scale:
A = (90% -100%)
B = (80% - 89%)
C = (70% - 79%)
D = (60% - 69%)
F < (Below 60%)
Assignment and Discussion Forum Post Rubrics
Writing Assignment Grading Rubric
|
Points |
Excellent |
Good |
Poor |
Very Poor |
No Response |
|
Original Posting ____/10 |
Writing assignment was well thought out, coherent, and thoughtfully organized with all parts of the questions addressed along with appropriate grammar and spelling |
Writing was clear and relatively well organized and responded to many/most of the key points with a few mistakes in regard to grammar and spelling |
Writing was somewhat confusing and not well organized and had little or no focus on the subject matter with significant grammar and spelling errors |
Writing is confusing and hard to follow with no organization while missing the point of the assignment entirely |
No Assignment |
|
Total Points ____/10 |
Additional Comments: |
Discussion Question Grading Rubric
|
Points |
Excellent Pass |
Good Pass |
Poor Fail |
No Response Fail |
|
Original Posting PASS/FAIL |
Original post reflected good focus to the discussion with well thought out ideas and appropriate grammar and spelling |
Original post responded to the topic in a general fashion but failed to organize them well and had a few mistakes in regard to grammar and spelling |
Responded with little or no focus to the discussion and contained short, irrelevant and/or confusing commentary with significant grammar and spelling errors |
No posting |
|
Reply to fellow student PASS/FAIL |
Response to fellow student reflected good focus to the post with well thought out ideas and appropriate grammar and spelling |
Response to fellow student in a general fashion but failed to organize them well and had a few mistakes in regard to grammar and spelling |
Little or no focus to the post and contained short, irrelevant and/or confusing commentary with significant grammar and spelling errors |
No posting |
|
Total Points PASS/FAIL |
Additional Comments: |
Academic Integrity/ Plagiarism
Cheating (dishonestly taking the knowledge of another person whether on a test or an assignment and presenting it as your work) and plagiarism (to take and pass off as one's own the ideas or writing of another) are a serious issue. While it is legitimate to talk to others about your assignments and incorporate suggestions, do not let others "write" your assignments in the name of peer review or "borrow" sections or whole assignments written by others. We do get ideas from life experiences and what we read but be careful that you interpret these ideas and make them your own.
I am aware that many types of assignments are available on the internet and will check these sources when there is legitimate suspicion.
Penalty is a zero on the assignment. In cases where there is a major or continuous breach of trust, further discipline, such as an "F" in the course, may be necessary.
The major consequence of any form of cheating is damage to your character and the result of trust and respect.
Disability Accommodations
Students who have a disability and wish to request an academic accommodation should contact Jim Gepperth, the Disabilities Services Coordinator and Academic Dean. The student can request an accommodation at any time although it is encouraged to do so early in the enrollment process. The student should complete an accommodation request form which begins a conversation between the school and the student regarding the nature of their disability and an accommodation that would help the student succeed in their program. The school may request documentation regarding the disability to address the accommodation request effectively. The school will communicate to the student the type of accommodation arranged. This process typically follows a team approach, bringing together persons from the academic department (including the instructor) and personnel from other departments as necessary. Additional information on disability accommodations may be found in the Lakewood University Catalog.
Disability Services Email: disabilityservices@lakewood.edu
Supplemental Texts
You can use the following resources to assist you with proper source citation.
American Psychological Association Style Guide- https://www.mylakewoodu.com/pluginfile.php/118179/mod_resource/content/1/APA%20Style%20Guide%207th%20edition.pdf
The Purdue OWL website is also a helpful resource for students. Here is a link to the OWL website: https://owl.purdue.edu/owl/research_and_citation/apa_style/apa_formatting_and_style_guide/general_format.html
Library
Mary O'Dell is the Librarian on staff at Lakewood University
She is available by appointment. You can make an appointment with her by emailing her at modell@lakewood.edu or call at 1-800-517-0857 X 730
You may also schedule a meeting at this link: https://my.setmore.com/calendar#monthly/r3a761583354923270/01032020
She can assist you with navigating LIRN, research, citations etc.
Support
Each student at Lakewood University is assigned a Success Coach. Your Success Coach exists to assist you with academic and supportive services as you navigate your program. They will reach out to you, often, to check-in. Please use the resources they offer.
Student Services is available to assist with technical questions regarding Lakewood University and all services available to you.
1-800-517-0857 option 2
info@lakewood.edu
studentservices@lakewood.edu
Career Services
Students are offered Career Services at any point as they journey their academics at Lakewood University.
1-800-517-0857 option 2
careerservices@lakewood.edu
Objectives
- Understand how to use different sampling techniques with data, how to carry out a statistical experiment, and how data from an experiment can be collected and organized.
- Learn different techniques to organize, visualize, and summarize data collected from an experience.
- Make use of different computations to interpret data and perform data analysis, as well as learn the basics of the field of probability theory.
- Compute probabilities of different real-world events, organizing all possible outcomes of an event, and use random variables and probability distributions to further analyze the probabilities of certain events.
- Understand binomial experiments as well as binomial, geometric, and Poisson distributions
- Learn about the normal probability distribution and its graph, and use areas under the normal curve to compute the probability of standardized events, find the values of a random variable given the probability, and explain the shape a normal curve.
- Review terminology related to sampling and use sampling distributions to analyze the mean of a set of data.
- Construct and interpret confidence intervals.
- Formulate hypothesis tests involving samples from one and two populations, and select the appropriate technique for testing a hypothesis and interpret the result.
- Apply a chi-square distribution and linear regression estimation and interpret the results.
Lessons
Chapter 1 – Sampling data & Chapter 2 – Descriptive Statistics
Study Course Syllabus
Read Chapters 1 and 2
Chapter 1 and 2 Homework – in MyOpenMath (Assignments)
Watch videos
Discussion (1)
Lesson Evaluation
Chapter 3 - Probability & Chapter 4 – Discrete Random Variables
Chapter 3 and 4 Homework – in MyOpenMath (Assignments)
Watch Videos
Lesson Evaluation
Chapter 5 – Continuous Uniform Distributions & Chapter 6 – The Normal Distribution
Read Chapters 5 and 6
Watch Videos
Chapter 5 and 6 Homework – in MyOpenMath (Assignments)
Lesson Evaluation
Midterm (Chapters 1 – 4)
Read Chapter 7
Watch Videos
Chapter 7 – The Central Limit Theorem
Chapter 7 Homework - in MyOpenMath (Assignments)
Lesson Evaluation
Chapter 8 - Confidence Intervals
Read Chapter 8
Watch Videos
Chapter 8 Homework - in MyOpenMath (Assignments)
Participate in the Discussion Forum (2)
Lesson Evaluation
Chapter 9 – Hypothesis Testing with One Sample & Chapter 10 – Hypothesis Testing with Two Samples
Read Chapter 8
Watch Videos
Chapter 9 and 10 Homework - in MyOpenMath (Assignments)
Lesson Evaluation
Chapter 11 – The Chi-Square Distribution
Read Chapter 11
Watch Videos
Chapter 11 Homework – in MyOpenMath (Assignments)
Lesson Evaluation
Chapter 12 - Linear Regression and Correlation
Read Chapter 12
Watch Videos
Chapter 12 Homework – in MyOpenMath (Assignments)
Participate in the Discussion Forum (3)
Final Examination (All Lessons)
Lesson Evaluation