Course Snapshot for BUS226 - Business Statistics
The information listed below is subject to change. Please review the course syllabus within your online course at the start of class.
Course Competencies
The competencies you will demonstrate in this course are as follows:
- Describe the nature and implication of basic principles of statistics and how they play an important role in our daily lives.
- Organize and summarize data, and represent graphically the important information contained in a data set.
- Compute numerical quantities that measure the central tendency and dispersion of a set of data.
- Understand the basic properties of probability.
- Determine probabilities using postulates, rules of probability and various probability distribution tables.
- Distinguish between discrete and continuous variables.
- Compute the mean and standard deviation of a probability distribution.
- Test hypotheses by using the appropriate distribution and constructing confidence intervals about means, standard deviations, and proportions.
- Use methods for estimating some population parameters.
- Understand and apply the basic concepts of statistical inference to the decision making process.
- Fit a least-square line to a set of data and interpret the coefficient of correlation.
- Use a statistical software package in performing statistical computations.
Module Outcomes Mapped to Competencies
The module outcomes that will permit you to demonstrate course competencies are:
| Outcomes | Competencies | |
|---|---|---|
| 1 | Define basic concepts and vocabulary of statistics. | A, F |
| 2 | Use data to construct tables and charts for qualitative (categorical, word-based) and quantitative (numerical) data. | B |
| 3 | Calculate measures of central tendency and variation for quantitative variable. | C, L |
| 4 | Evaluate the symmetry/skewness of a set of data. | B, C |
| Outcomes | Competencies | |
|---|---|---|
| 1 | Use data to construct tables and charts for qualitative (categorical, word-based) and quantitative (numerical) data. |
B |
| 2 | Master and understand basic probability concepts. | D, F |
| 3 | Identify and calculate conditional probabilities. | E |
| 4 | Construct a probability distribution to compute expected value (mean) and variance of a probability distribution. | E, G |
| 5 | Compute probabilities from normal distribution. | E, L |
| 6 | Use the standard normal distribution to solve business problems. | E, L |
| 7 | Use statistics software application for calculations. | L |
| Outcomes | Competencies | |
|---|---|---|
| 1 | Compute probabilities related to the sample mean and the sample proportion. |
E, I |
| 2 | Understand the importance of the Central Limit Theorem in sampling from non-normally distributed populations. | I, J |
| 3 | Construct and interpret confidence interval estimates for the mean and the proportion. | H |
| 4 | Determine the sample size necessary to develop a confidence interval estimate for the mean or proportion. | I, J |
| 5 | Use statistics software application for calculations. | L |
| Outcomes | Competencies | |
|---|---|---|
| 1 | Evaluate, using hypothesis testing, the difference between: a. population mean and sample mean, b. means of two independent populations, c. means of two related populations, d. population proportion and sample proportion, e. proportions of two independent populations, and f. means of more than two populations. |
H, L |
| 2 | Differentiate the types of statistical testing that can be conducted on two or more samples. | H, J |
| 3 | Use statistics software application for calculations. | L |
| Outcomes | Competencies | |
|---|---|---|
| 1 | Predict the value of a dependent variable using linear regression analysis. |
H, J, K, L |
| 2 | Evaluate assumptions of linear regression analysis. | H, J |
| 3 | Use basic concepts and vocabulary of statistics. | A, F |
| 4 | Use statistics software application for calculations. | L |
Course Time Commitment and Expectations
For every credit hour, students should plan to spend an average of 2-3 hours per week for course-related activities in a 15-week course. For example, a 3 credit hour course would average an average 6-9 hours per week to read/listen to the online content, participate in discussion forums, complete assignments, and study the course material. For 10 and 6-week courses, the amount of time per week will be higher so all course competencies, module outcomes, and assignments will be covered.
Aside from typical reading assignments, this course has the following (Please Note: This list is subject to change based on the discretion of the instructor facilitating this course.):
| Assignment | Points | % |
|---|---|---|
| Discussions – Individual (5 @ 15 points each) | 75 | 7.5% |
| Discussions – Small Group (5 @ 10 points each) | 50 | 5% |
| Practice Problems (5 @ 10 points each) | 50 | 5% |
| Application Problems (5 @ 25 points each) | 125 | 12.5% |
| Practical Project Portfolio Contributions (5 @ 20 points each) | 100 | 10% |
| Quizzes (5 @ 40 points each) | 200 | 20% |
| Tests (5 @ 100 points each)* | 400* | 40% |
| TOTAL | 1000 | 100% |
| * Five tests are taken but the lowest score is dropped. | ||
CCCOnline Course Quality Commitment
CCCOnline goes to great lengths to assure the quality of your online learning experience. You can expect the following from our courses:
- All CCCOnline courses are developed by content experts and a professional team of instructional designers.
- CCCOnline courses are built with a template that assures accessibility and Quality Matters Design Standards.
- There is navigation consistency across all CCCOnline courses.
- Most of our courses come with illustrative models and videos to enhance learning concepts.