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. IAI: M1 902 Mathematics. IAI: BUS 901 Business.
MATH 1424 or MATH 0985 with a grade of C or better, appropriate assessment score, or High School Transitional Math: quantitative literacy (QL) or STEM pathway - Must be completed prior to taking this course.
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
IAI course M1-902--transfers to most IL colleges and universities
Faculty Contact Information
10-12 MWF
Email is the best way to get hold of me--aharwood@kcc.edu
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
Interactive Statistics with Integrated Review 2 nd Edition by Sullivan and Woodbury (online version)
MyStatLab Access Code included when you registered for this course
StatCrunch statistical software, included when you registered for this course
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.
Homework
Homework is an essential part of any math class. The homework for this class will be given via MyStatLab, which can be found under the tab MyLab and Mastering on Canvas. Each section of homework (both reading assessment and homework) is worth 5 points. You may attempt each homework problem an unlimited amount of times with only the highest of the scores counting towards your grade (additional practice is also available). When you registered for this course, you were enrolled in the MyStatLab course.
Projects
There will be projects given during this semester covering some of the main topics of the course. Each will be discussed as the class progresses.
Online Participation—Discussion Boards, Video Presentations, etc…
Online classes require responsibility on the student’s part to self-motivate and keep up with the course work. These responsibilities may include, but are not limited to, reading the text, working through the PowerPoints, watching videos of the materials, making videos presentations, group projects, online quizzes, and online discussion boards. These will all be uploaded through Canvas, so use the resources that are available! Keeping up with the course as we’re going through will be much easier than trying to catch up.
Quizzes
There will be quizzes given throughout the semester. The quizzes will be given through Canvas and the lowest quiz score will be dropped at the end of the semester. There will be NO retake or make up quizzes. Please be aware of the due date on the online quizzes; it’s easy to lose track. Quizzes will be open note, open book, but are expected to be done on your own. Evidence of cheating is also grounds for 0s on assessments or failing grades in the course.
Final Exam
There will be a comprehensive final exam during the final week. There are no makeup opportunities for the final exam. The final exam represents 20% of your final grade.
Grading Scale by percentage
90-100 A
80-89 B
70-79 C
60-69 D
Below 60 F
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!
Cell Phones
Using cell phones or other electronic devices on or during the taking of tests/quizzes will be considered cheating and will be subject to the guidelines below. Cheating/Plagiarizing
Students found cheating on any assessments will earn a grade of zero on the assessment after the first occurrence and a grade of F for the entire course after the second occurrence. Using AI tools, such as ChatGPT and photomath, will be considered cheating.
Calculator Usage
You will want some type of calculator, but it doesn't have to be a graphing calculator, since we'll be using StatCrunch for most data analysis. Graphing calculators may be used throughout this course, except on specific items chosen by your instructor. The TI-84 is the preferred graphing calculator. Remember, you can always borrow one from the library for free for the whole semester!
Integrity and Respect for everyone involved in the course is expected. If you have any questions about expectations, please let your professor know.
Week | Chapters/Topics Covered | What to work on this week (subject to change) |
1 | Syllabus Introduction to course and calculator Chapter 1 Data Collection (all) | Syllabus Quiz Discussion Boards Chapter 1 HW |
2 | Chapter 2 Descriptive Statistics (all) | Chapter 2 HW Chapter 1 and 2 Quiz |
3 | Chapter 3 Numerically Summarizing Data (3.1, 3.2, 3.4, 3.5) | Chapter 3 HW Chapter 3 Quiz |
4 | Chapter 4 Describing the Relation between Two Variables (4.1-4.3) | |
5 | Chapter 4 Describing the Relation between Two Variables (4.1-4.3) | Chapter 4 HW Chapter 4 Quiz |
6 | Chapter 6 Discrete Probability Distributions (6.1, 6.2) | Chapter 6 HW Chapter 6 Quiz |
7 | Chapter 7 Normal Probability Distribution (7.1- 7.3) | |
8 | Chapter 7 Normal Probability Distribution (7.1- 7.3) | Chapter 7 HW Chapter 7 Quiz |
9 | Chapter 8 Sampling Distributions (8.1, 8.2) | Chapter 8 HW Chapter 8 Quiz |
10 | Chapter 9 Estimating the Value of a Parameter (9.1-9.4) | |
11 | Chapter 9 Estimating the Value of a Parameter (9.1-9.4) | Chapter 9 HW Chapter 9 Quiz |
12 | Chapter 10 Hypothesis Testing Regarding a Parameter (10.1-10.4) | |
13 | Chapter 10 Hypothesis Testing Regarding a Parameter (10.1-10.4) | Chapter 10 HW Chapter 10 Quiz |
14 | Chapter 11 Inferences on Two Samples (11.1, 11.3, 11.4) | Chapter 11 HW Chapter 11 Quiz |
15 | Chapter 12 Inference on Categorical Data (12.1) | Chapter 12 HW |
16 | Chapter 13 Comparing Three or More Means (13.1) Review for Final | Chapter 13 HW |
17 | Final Exam |
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.