Online
This course focuses on statistical reasoning and on solving problems using real-world data rather than on computational skills. Use of technology-based computations (such as graphing calculators with a statistical package, spreadsheets, or statistical computing software) is required with emphasis on interpretation and evaluation of statistical results. Topics include data collection processes (observational studies, experimental design, sampling techniques, bias), descriptive methods using quantitative and qualitative data, bivariate data, correlation, and least-squares regression, basic probability theory, probability distributions (normal distributions and normal curve, binomial distribution), chi-square tests, one-way analysis of variance, confidence intervals and hypothesis tests using p-values. Students cannot receive credit for both MATH 1774 and BSNS 2514.
Course Alignment
General Education Outcomes are the knowledge, skills, abilities, attitudes, and behaviors that students are expected to develop as a result of their overall experiences with any aspect of the college, including courses, programs, and student services, both inside and outside of the classroom. The General Education Outcomes specifically learned in this course are:
- Communication
- Critical Thinking
Faculty Contact Information
In-Person: TTH 11am – 12pm in R303
Virtual: MW 11am - 12pm via email or Canvas message or previously scheduled Zoom meeting
Course Information
At the end of this course, students will be able to:
- Organize data using frequency distributions and graphs
- Distinguish between the different types of studies and different types of random sampling
- Describe (summarize) data using measures of central tendency and dispersion
- Perform calculations associated with fundamental distributions and solve related application problems
- Construct confidence intervals for means and proportions
- Perform hypothesis tests for means and proportions using p-values.
- Calculate correlation coefficient and check its significance
- Estimate a regression equation and interpret its coefficients
- Use technology to complete basic statistical analyses
- Data Collection
- Introduction to the Practice of Statistics
- Observational Studies vs Designed Experiments
- Simple Random Sampling
- Other Effective Sampling Methods
- Bias in Sampling
- The Design of Experiments
- Descriptive Statistics
- Organizing Qualitative Data
- Organizing Quantitative Data: The Popular Displays
- Additional Displays of Quantitative Data
- Graphical Misrepresentations of Data
- Numerically Summarizing Data
- Measures of Central Tendency
- Measures of Dispersion
- Measures of Central Tendency and Dispersion from Grouped Data
- Measures of Position and Outliers
- The Five-Number Summary and Boxplots
- Describing the Relation Between Two Variables
- Scatter Diagrams and Correlation
- Least Squares Regression
- Diagnostics on the Least-Square Regression
- Contingency Tables and Association
- Probability and Probability Distributions
- Probability Rules
- The Addition Rule and Complements
- Discrete Probability Distributions
- Discrete Random Variables
- The Binomial Distribution
- The Normal Probability Distribution
- Properties of the Normal Distribution
- Applications of the Normal Distribution
- Assessing Normality
- Sampling Distributions
- Distribution of the Sample Mean
- Distribution of the Sample Proportion
- Estimating the Value of a Parameter
- Estimation a Population Proportion
- Estimating a Population Mean
- Estimating a Population Standard Deviation
- Putting It Together: Which Procedure Do I Use?
- Hypothesis Tests Regarding a Parameter
- The Language of Hypothesis Testing
- Hypothesis Tests for a Population Proportion
- Hypothesis Tests for a Population Mean
- Hypothesis Tests for a Population Standard Deviation
- Inferences on Two Samples
- Inference about Two Population Proportions
- Inference about Two Means: Dependent Samples
- Inference about Two Means: Independent Samples
- Inference on Categorical Data
- Goodness-of-Fit Test
- Tests for Independence and the homogeneity of Proportions
- Comparing Three or More Means
- One-Way Analysis of Variance
Textbook(s): Statistics: Informed Decisions Using Data 7th edition by Michael Sullivan with MyStatLab Access Code. The textbook is NOT required. The MyStatLab access code is part of your course fees.
Graphing Calculator optional, TI 84 preferred. Miner Memorial Library has TI-84s available for loan for free for the entire semester. If this is the only math class you need and you don’t already have a graphing calculator, I would suggest going there to check one out.
This course will be evaluated as follows:
MyLab Homework: 25%
Quizzes: 25%
Projects: 20%
Online Participation: 10%
Final Exam: 20%
Grading Scale by Percentage:
90 – 100 A
80 – 89 B
70 – 79 C
60 – 69 D
Below 60 F
MyLab Homework:
Homework will be assigned and completed using the link provided on Canvas. The homework in My Lab will focus on math skills and as many opportunities as necessary are granted to achieve full credit, thus, persistence is the key. Homework is your opportunity to practice and master the material. Homework is due on the date and time listed in My Lab and is completed on your own time. Extensions may be given at the instructor’s discretion.
Quizzes:
There will be quizzes given throughout the semester. These quizzes will be given through Canvas and the lowest score will be dropped at the end of the semester. There will be no retake or makeup quizzes. You can use notes and your text, but you will be expected to complete it on your own. Do not ask other students for help and do not search the internet for solutions.
Final Exam:
The Final Exam is a comprehensive exam covering material from the whole course. It will be completed online. The final exam will be open for 24 hours and it must be completed within that time. There will be a save and complete option if you need to pause and come back later in that 24 hour period. There are no make-up options for the final exam. You can use notes and your text. If needed, you will have access to StatCrunch. Do not ask other students for help and do not search the internet for solutions.
Liberal Arts & Sciences
Dean, Jennifer Huggins; 815-802-8484; R310; jhuggins@kcc.edu; Division Office- W102; 815-802-8700
Participation:
Although we are not meeting face-to-face, participating in the online components of our class is vital and will
help determine your success. Try doing work earlier than the day before it’s due—you’ll be amazed at the
lower stress level and the more you remember and understand!
Late Work:
Please try to be on time with assignments. Since this course is only 8 weeks, it will move very quickly. If you miss due dates early on in the semester, it will be challenging to catch up in the given time. You can submit work up to three days late if needed. You must email me for the extension to explain why you need the additional time.
Calculator Usage
You will want some type of calculator, but it doesn't have to be a graphing calculator. Graphing calculators may be used throughout this course. The TI-84 is the preferred graphing calculator. Remember, you can always borrow one from the library for free for the whole semester!
Accommodations:
Students must have an official letter from the Office of Disability Services for any accommodations. If students have this letter, please send to the instructor immediately. Accommodations can only be in effect if given to the instructor at least 24 hours before an assessment. Accommodations cannot be applied after a student has completed an assessment.
Artificial Intelligence:
Artificial intelligence (AI) is a resource that you can use to help you learn concepts. If you are using AI to complete all of your homework for you, then you are not utilizing it as a resource, but as a crutch. You will not learn anything from this course if you do not struggle through the homework until you understand what you are doing.
If you are found to be using AI for solutions to homework questions, then you get a warning to not continue using AI to find answers. If you continue using AI, then you will receive a zero for the assignment or possible removal from the course.
Academic integrity:
Cheating will not be tolerated. Infractions will follow the Student Code of Conduct and may result in a zero in the assignment/assessment and/or removal from the class.
| Week and Dates | Topics | Assignments Due or Important Dates |
Week 1:
| Introduction to the Course Chapter 1 Chapter 2 | Syllabus Quiz Chapter 1 Discussion Board Chapter 2 Discussion Board Chapter 1 and 2 Homework Chapter 1 and 2 Quiz Chapter 2 project assigned |
Week 2:
| Chapter 3 | Chapter 2 Project due Chapter 3 Discussion Board Chapter 3 Homework Chapter 3 Quiz |
Week 3:
| Chapter 4 | Chapter 4 Homework Chapter 4 Quiz Chapter 4 Project assigned |
Week 4:
| Chapter 6 and 7 | Chapter 4 project due Chapter 7 Discussion Board Chapter 6 and 7 Homework Chapter 6 and 7 Quiz |
Week 5:
| Chapter 8 and 9 | Chapter 8 Worksheet Chapter 8 and 9 Homework Chapter 8 and 9 Quiz |
Week 6:
| Chapter 10 | Chapter 10 Homework Chapter 10 Quiz Chapter 10 Project assigned |
Week 7:
| Chapter 11 | Chapter 10 project due Comparing Chapter 10 and 11 worksheet Chapter 11 Homework Chapter 11 Quiz |
Week 8:
| Section 12.1 and 13.1 | Section 12.1/13.1 Homework Final Exam Review Final Exam SEI extra credit |
College Policies, Resources and Supports
For information related to the Student Code of Conduct Policy, Withdrawal Policy, Email Policy, and Non- Attendance/Non-Participation Policy, please review the college’s Code of Campus Affairs and Regulations webpage, which can be found at catalog.kcc.edu under the Academic Regulations & Conduct Guide.
KCC offers various academic and personal resources for all students. Many services are offered virtually, as well as in person. Please visit Student Resources - Kankakee Community College to access student resources services such as:
- Clubs and organizations
- Counseling and referral services
- Office of disability services
- Student complaint policy
- Transfer services
- Tutoring services, etc.
The materials on this course are only for the use of students enrolled in this course for purposes associated with this course. Further information regarding KCC's copyright policy is available at https://kcc.libguides.com/copyright.
|Course syllabus/calendar is subject to change.