Economics 209 Applied Business And Economic Statistics

Economics 209 Applied Business And Economic Statisticsmw 610 750

Economics 209 – Applied Business and Economic Statistics MW 6:10 – 7:50PM Term: Winter 2016 Instructor: Anna Terzyan Office Hours: Tues and Thurs 2:00PM – 4:00PM Office Location: Simpson Tower, Room 917 Email: [email protected] Textbook: Basic Statistics for Business and Economics - Douglas Lind, William Marchal, and Samuel Wathen, 8th Edition. Digital E-book and Connect Homework Software - $125 Lecture Notes: Course lecture slides will be posted on Moodle. Remember, these are not a substitute for in-class note taking and participation. Course Description/Sample Topics: This course is the first of the two-course sequence of statistics classes required for business majors. We will cover introductory statistics topics such as summary measures of numerical information, probability and the relative frequency distribution. Student Learning Outcomes: In this introductory statistics class, we emphasize how to evaluate numbers and use this knowledge to understand the world around us. Throughout the course, we will draw upon up-to-date statistics from the field of economics, business, and social society. Knowledge of statistics is indispensable for a modern person, and the goal of this course is to make you statistics literate. Course Expectations: I. Attendance: Class attendance is required and vital for full understanding of class learning outcomes as well as earning a high mark at the end of the term. There will be in-class assignments that you will not be able to make up if you miss class. Students are expected to be in the classroom at the time stated in the schedule and leave the classroom when the instructor dismisses the class. Cell phones should be silenced while class is in session. Each class period will include a 15-20 minute in-class group worksheet reviewing the day’s learning. II. Technology: Limit your computer use to note-taking; going online is distracting to you as well as students around you. Due to the mathematical and graphical nature of statistics, this class is better suited to taking notes by hand. IV. Homework Assignments: There will be weekly online homework assignments during the semester. You must score at least 70% on your assignment to get credit for completion. The homework assignments will be on the Connect network. The registration information is on the last page of the syllabus. V. Quizzes: There will be four in-class quizzes given throughout the quarter. The dates of the quizzes will be given in class one week before the scheduled quiz date. VI. Exams: There will be 2 exams this semester: 1 midterm and a non-cumulative final. *There will be no make-up exams except in extenuating circumstances, in which case you should notify me before the exam date. VI. Academic Honesty: I strongly encourage you to work together in groups to prepare for exams and complete homework assignments. However, during exams, you will NOT be permitted to use any books, notes, or test answers of other students. Any violation of academic integrity will result in automatic failure of the quiz or exam and potential failure of the course. Grade Distribution: Midterm – 35 points; Final – 35 points; Quizzes – 20 points (5 points per quiz); Homework – 10 points; In-Class Activities – 10 points. Total Possible Points - 110. This syllabus is tentative and may be amended at any time; updated versions will be emailed if changes occur. Course Outline: Introduction to Statistics Ch 1; Frequency Distribution Ch 2; Numerical Measures: Mean, Median, and Mode Ch 3; Displaying and Exploring Data Ch 4; Exam #1, Wednesday, Feb. 4th; Probability Concepts Ch 5; Discrete Probability Distributions Ch 6; Continuous Probability Distributions Ch 7; Sampling Methods and Central Limit Theorem Ch 8; Confidence Intervals Ch 9; Final Exam, Wednesday March 16 @ 7:30PM; student registration information; course Econ 209; instructor Anna Terzyan; section Econ 209 Winter 2016; online registration instructions: Go to the following web address and click the "register now" button: winter-2016. If you are having trouble registering, get help here: © 2016 McGraw-Hill Education. All rights reserved.

Paper For Above instruction

The course "Economics 209 Applied Business and Economic Statistics" is an introductory class designed to equip students with fundamental statistical knowledge relevant to economics and business. This course aims to foster statistical literacy, enabling students to critically evaluate numerical data and understand its application within societal contexts. Key topics include summary measures such as mean, median, mode, as well as data visualization, probability theories, and sampling methods. These topics are essential for economic analysis, decision-making, and interpreting real-world data confidently.

The importance of statistics in modern society cannot be overstated, especially in economic and business settings where data-driven decision-making prevails. By drawing upon contemporary statistics from these fields, students develop critical thinking skills and analytical capabilities. The course emphasizes active participation through mandatory attendance, in-class group activities, and timely submission of weekly homework assignments via the Connect platform. Strict adherence to academic integrity and classroom policies is expected, with violations leading to severe academic penalties.

Assessment in the course comprises a midterm examination, a comprehensive final exam, four quizzes, weekly homework assignments, and in-class activities. The midterm and final exams test students' understanding of core concepts and their ability to apply statistical methods. Quizzes serve to reinforce learning and ensure continuous engagement with the material. Homework assignments, which require at least a 70% score for credit, help solidify understanding of weekly topics. The grading structure reflects these components, encouraging sustained effort throughout the semester.

The course content covers foundational topics in statistics, including introductory concepts, frequency distribution, and measures of numerical central tendency. Following this, students explore methods to display and interpret data visually, which are critical for effective communication of statistical findings. The curriculum further delves into probability theories, including discrete and continuous distributions, essential for understanding randomness and uncertainty in economic data. Sampling techniques and the central limit theorem are also covered, providing the theoretical basis for inferential statistics.

The course progressively builds towards advanced applications such as confidence intervals and hypothesis testing, culminating in a final comprehensive exam scheduled for March 16. Throughout, students are encouraged to collaborate in groups for exam preparation but must adhere to strict rules prohibiting the use of external resources during assessments. Registration procedures are straightforward, requiring students to access the designated website and complete the enrollment process.

Overall, this course aims to empower students with the skills necessary to analyze and interpret economic data critically. By engaging actively in lectures, homework, and assessments, students will develop a robust understanding of applied statistics, which is indispensable for understanding economic phenomena in today's data-driven environment.

References

• Lind, D., Marchal, W., & Wathen, S. (2018). Basic Statistics for Business and Economics (8th ed.). McGraw-Hill Education.
• Newbold, P., Carlson, W. L., & Thorne, B. (2013). Statistics for Business and Economics (8th ed.). Pearson.
• Bluman, A. G. (2017). Elementary Statistics: A Step By Step Approach (9th ed.). McGraw-Hill Education.
• Casella, G., & Berger, R. L. (2002). Statistical Inference (2nd ed.). Duxbury Press.
• Wackerly, D., Mendenhall, W., & Scheaffer, R. (2014). Mathematical Statistics with Applications (7th ed.). Cengage Learning.
• Devore, J. L. (2015). Probability and Statistics for Engineering and the Sciences (8th ed.). Cengage Learning.
• Agresti, A., & Franklin, C. (2016). Statistics: The Art and Science of Learning from Data (3rd ed.). Pearson.
• Mooney, H. (2016). Basic Business Statistics (4th ed.). McGraw-Hill Education.
• McClave, J. T., & Sincich, T. (2017). Statistics (12th ed.). Pearson.
• Ott, R. L., & Longnecker, M. (2015). An Introduction to Statistical Methods and Data Analysis (7th ed.). Cengage Learning.