MAT 117 Elementary Statistics

• Instructor: Prof. Sung-Hyuk Cha
• Email: scha@pace.edu
• Tel: (212) 346-1253
• Office: 163 Williams, Rm. 228 at NYC
• Office Hours: T R 12:10pm ~ 2:10am and T 4:30pm ~ 5:30pm.

• CRN: 20480

• Meeting:
• Meeting Times: TR 2:25 pm - 4:25 pm
• Place: 1 Pace W520

• Textbook: Business Statistics: A Decision-Making Approach, 9th Edition, by Groebner, Shannon, and Fry, Pearson, 2014

• Course Description:
Collection, tabulation, and graphing of statistical data; measures of location and dispersion; sampling and sampling distributions; confidence intervals; hypothesis testing; correlation and regression; introduction to time series analysis. Business and economic applications are stressed throughout.

• Course Objectives:
• You will understand that there are different types of data. You will understand that there are different methods of analyzing data that defend upon the type of data and the level of measurement.
• You will be able to compute and interpret various statistics that measure properties of a collection of data. You will be able to create graphs that illustrate these properties.
• You will understand the concept of probability and be able to apply it to solve real problems.
• You will be able to perform statistical analyses.
• You will understand the role of randomization and hypotheses in statistical analysis.
• You will understand how statistical analysis is an important tool in the business environment.

• Prerequisite: MAT 104 or 104C or MAT 108

• Tentative Schedule:

WeekTuesdayThursday
1 1/28 Introduction (Ch1) 1/30 Visual desc. of Data (Ch2)
2 2/4 Numerical desc. of Data (Ch3) 2/6 cancelled
3 2/11 Probability (Ch 4) 2/13 cancelled
4 2/18 Bayes Theory (Ch 4) 2/20 Discrete Probability (Ch 5)
5 2/25 Continuous Probability (Ch 6) 2/27 Sampling Distributions (Ch 7)
6 3/4 Single Population (Ch 8) 3/6 Review (Ch 2~8)
7 3/11 Exam I 3/13 Exam review
8 3/18 Spring Break 3/20 Spring Break
9 3/25 Hypothesis Testing (Ch 9) 3/27 Two Population (Ch 10)
10 4/1 Population Variances (Ch 11) 4/3 ANOVA (Ch 12)
11 4/8 Goodness of Fit (Ch 13) 4/10 Contingency Analysis (Ch 13)
12 4/15 Passover 4/17 review Ch 1~13
13 4/22 Exam II 4/24 Correlation (Ch 14)
14 4/29 Multiple Regression (Ch 15) 5/1 Nonparametric Statistics (Ch 17)
15 5/6 Review 5/8 Study day
16 5/13 Final Exam 5/15

• Evaluation:
• Attendance (10%):
• Homework (10%):
• Labs (10%):
• Two Exams (30%):
• Final Exam (30%): comprehensive and need at least 50% to pass the course.

• Course Policies
• will be distributed on the first day of the class.