Looking for assistance for the duration of my math 300 statistics with strayer university online course. Looking for help with all test and work that is due each week. Required to work in the Alex pro
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| MAT 300 – Statistics |
NOTE: This course will use Teaching Assistants (TAs) to assist Professor Evan Schwartz with the teaching experience.
(Prerequisite: MAT 104)
COURSE DESCRIPTION
This course examines the principles of probability and of descriptive and inferential statistics. Topics include probability concepts, measures of central tendency, normal distributions, and sampling techniques. The application of these principles to simple hypothesis testing methods and to confidence intervals is also covered. The application of these topics in solving problems encountered in personal and professional settings is also discussed.
INSTRUCTIONAL MATERIALS
Required Resources
ALEKS Access Code (bundled with course text when purchased from the Strayer Bookstore)
Bluman, A. G. (2018). Elementary statistics: a brief version (8th ed.). New York, NY: McGraw-Hill.
Note: Course materials for this class must be purchased from the Strayer Bookstore at http://www.strayerbookstore.com
Supplemental Resources
Hand, D. J. (2008). Statistics: a very short introduction. Oxford, UK: Oxford University Press.
Rumsey, D. (2011). Statistics for dummies (2nd ed.). Hoboken, NJ: Wiley Publishing.
Standard Normal Distribution Table. (2012). Retrieved from http://www.mathsisfun.com/data/standard-normal-distribution-table.html
Statistics Calculator Free App for your Smartphone, created by Christian Gollner. Retrieved from https://play.google.com/store/apps/details?id=com.cgollner&hl=en
COURSE LEARNING OUTCOMES
Describe the differences between the various types of data.
Apply various descriptive graphical techniques.
Calculate measurements of central tendency and dispersal.
Solve problems using probability, conditional probability, and counting principles.
Solve problems using discrete probability distributions, including the binomial probability distribution.
Solve problems using the normal frequency distribution.
Determine confidence intervals for data.
Describe the vocabulary and principles of hypothesis testing.
Apply linear regression to problems.
Conduct ANOVA and goodness of fit tests.
Discuss application of course content to professional contexts.
Use technological tools to solve problems in statistics.
Write clearly and concisely about statistics using proper writing mechanics.
WEEKLY COURSE SCHEDULE
The standard requirement for a 4.5 credit hour course is for students to spend 13.5 hours in weekly work. This includes preparation, activities, and evaluation regardless of delivery mode.
| Week | Preparation, Activities, and Evaluation |
| Statistical Thinking LEARN
DISCUSSION
ALEKS
| |
| Graphs: Portraits of Data LEARN
DISCUSSION
ALEKS
QUIZ
| |
| Measurements of Central Tendency and Dispersal LEARN
DISCUSSION
ALEKS
| |
| Calculating Probability LEARN
DISCUSSION
ALEKS
QUIZ
| |
| Discrete Probability Distributions LEARN
DISCUSSION
ALEKS
| |
| Normal Frequency Distribution LEARN
DISCUSSION
ALEKS
QUIZ
| |
| Confidence Intervals LEARN
ALEKS
ASSIGNMENT
| |
| Hypothesis Testing LEARN
DISCUSSION
ALEKS
QUIZ
| |
| One Line Fits All LEARN
DISCUSSION
ALEKS
| |
| 10 | Testing Differences LEARN
DISCUSSION
ALEKS
QUIZ
|
| 11 | Putting It All Together DISCUSSION
ALEKS
|
GRADING SCALE – UNDERGRADUATE
| Assignment | Total Points | % of Grade |
| ALEKS Pie Completion (Note: Points for pie completion will be added to your overall score beginning in Week 6.) | 400 | 40% |
| ALEKS Time Spent (A minimum of five hours per week for 10 weeks; two points per hour) | 100 | 10% |
| Assignment 1: Descriptive Statistics | 140 | 14% |
| Quizzes (5 quizzes worth 32 points apiece) | 160 | 16% |
| Participation (20 points per week) | 200 | 20% |
| Totals | 1,000 | 100% |
| Points | Percentage | Grade |
| 900 – 1,000 | 90% – 100% | |
| 800 – 899 | 80% – 89% | |
| 700 – 799 | 70% – 79% | |
| 600 – 699 | 60% – 69% | |
| Below 600 | Below 60% |
ATTENDANCE POLICY:
This course uses the ALEKS platform for lab work. Attendance is recorded when an assessment is first submitted or when a topic is attempted that counts towards the completion pie. Secondary assessment attempts may be allowed in some courses to improve grades, but they will not count for attendance.
© 2018 Strayer University. All Rights Reserved. This document contains Strayer University confidential and proprietary information and may not be copied, further distributed, or otherwise disclosed in whole or in part, without the expressed written permission of Strayer University.
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