## > Teaching > Statistics

### Statistics (spring 2019)

This course provides an introduction to basic statistics for business and economics students.

#### Course Information

**Course ID**: 0205320001

**Credit**: 4

**Lecture time**: Session 3-4 (10:20-11:50) on Monday/Thursday

**Classroom**: H1-404 Liberal Arts Building (Wen Ke Lou)

**Instructor**: Dr. Jia-Ping Huang

**Office hour**: Tuesday 13:00-14:00, 2613 Liberal Arts Building

**E-mail**: huangjp #at# szu . edu . cn

#### Prerequisites

Pre-university mathematics.

#### Textbook

David M. Levine, Timothy C. Krehbiel, Mark L. Berenson (2013). *Business Statistics: A First Course*, Sixth Edition. Pearson.

Published in China as 《商务统计学（英文版·第6版）》, 戴维·莱文等著, 中国人民大学出版社, ISBN: 978-7-300-24722-9.

#### Topics to be Covered

Chapter 1: Introduction

Chapter 2: Organizing and Visualizing Data

Chapter 3: Numerical Descriptive Measures

Chapter 4: Basic Probability

Chapter 5: Discrete Probability Distributions

Chapter 6: The Normal Distributions

Chapter 7: Sampling and Sampling Distributions

Chapter 8: Confidence Interval Estimation

Chapter 9: Fundamentals of Hypothesis Testing: One-Sample Tests

Chapter 12: Simple Linear Regression

#### Grading

Attendance: 10%

Assignments: 10% (5 times)

Mid-term exam: 20%

Final exam: 60%

#### Schedule

The course has lecture classes and tutorial classes, where in the former we focus on understanding concepts and methods, and in the latter the purpose is how to solve problems. Take-home exercises will be assigned before each tutorial and will be explained during the tutorial. Students have to hand in their answers at the beginning of each tutorial class. Answers will be marked, and the best five scores will be recorded as assignments grades.

Monday | Thursday | |||

Week 1 | Mar 4 | Course info and introduction | Mar 7 | Lecture 1-1 |

Week 2 | Mar 11 | Lecture 1-2 | Mar 14 | Tutorial 1 |

Week 3 | Mar 18 | Lecture 2-1 | Mar 21 | Lecture 2-2 |

Week 4 | Mar 25 | Tutorial 2 |
Mar 28 | Lecture 3-1 |

Week 5 | Apr 1 | Lecture 3-2 | Apr 4 | Tutorial 3 |

Week 6 | Apr 8 | Lecture 4-1 | Apr 11 | Lecture 4-2 |

Week 7 | Apr 15 | Tutorial 4 |
Apr 18 | Lecture 5-1 |

Week 8 | Apr 22 | Lecture 5-2 | Apr 25 | Tutorial 5 |

Week 9 | Apr 29 | No class |
Apr 27 |
Mid-term exam |

Week 10 | May 6 | Lecture 6-1 | May 9 | Lecture 6-2 |

Week 11 | May 13 | Review | May 16 | Tutorial 6 |

Week 12 | May 20 | Lecture 7-1 | May 23 | Lecture 7-2 |

Week 13 | May 27 | Tutorial 7 |
May 30 | Lecture 8-1 |

Week 14 | Jun 3 | Lecture 8-2 | Jun 6 | Tutorial 8 |

Week 15 | Jun 10 | Lecture 9-1 | Jun 13 | Lecture 9-2 |

Week 16 | Jun 17 | Tutorial 9 |
Jun 20 | Review |

Week 17 | Jun 24 | Final exam |
Jun 27 | No class |

*Since the spring holiday of Shenzhen University is not officially announced, this schedule is subject to change. Usually the holiday takes place on the first week of May.*

*This schedule was revised on Mar 18.*

*This schedule was revised on May 13.*

**Introduction**: 1.1-1.5

**Lecture 1-1**: 2.1-2.4

**Lecture 1-2**: 2.5-2.8

**Lecture 2-1**: 3.1-3.3

**Lecture 2-2**: 3.4-3.6

How to create a box plot in Excel

**Lecture 3-1**: 4.1, 4.2

**Lecture 3-2**: 4.3-4.5

**Lecture 4-1**: 5.1, 5.2

Table of binomial probabilities

**Lecture 4-2**: 5.3

Table of Poisson probabilities

**Lecture 5-1**: 6.1, 6.2

**Lecture 5-2**: 6.3

**Lecture 6-1**: 7.1,7.2

**Lecture 6-2**: 7.3-7.5

**Lecture 7-1**: 8.1

**Lecture 7-2**: 8.2, 8.4

**Lecture 8-1**: 9.1, 9.2

**Lecture 8-2**: 9.3

**Lecture 9-1**: 12.1, 12.2

**Lecture 9-2**: 12.7

#### Take-home Exercises

You can find the following problems from the textbook. Write your answers on A4 papers (including tables and graphs) by hand, or type your answers with MS-Word (tables and graphs may be constructed by MS-Excel) and print out with A4 papers.

**Lecture 1 (due on March 14)**:

- 2.7, 2.11, 2.16, 2.17, 2.24(a), 2.38, 2.46, 2.47, 2.51

Data needed: Wonderlic.xls

**Lecture 2 (due on March 25)**:

- 3.3, 3.6, 3.15, 3.19(a,b,c), 3.24, 3.38, 3.41(a,b), 3.43

**Lecture 3 (due on April 4)**:

- 4.1, 4.3, 4.6, 4.9, 4.11
- 4.17, 4.18, 4.20, 4.22
- 4.30, 4.37
- 4.40, 4.43, 4.49

**Lecture 4 (due on April 15)**:

- 5.1(a,b), 5.5, 5.7
- 5.9, 5.10, 5.13
- 5.18, 5.19, 5.21, 5.26

**Lecture 5 (due on April 25)**:

- 6.1, 6.2, 6.5, 6.6, 6.10
- 6.14, 6.15, 6.17

Data needed: BBCost2010.xls

**Lecture 6 (due on May 13)**:

- 7.3, 7.4, 7.5
- 7.15, 7.19, 7.21, 7.23, 7.25

**Lecture 7 (due on May 27)**:

- 8.1, 8.2, 8.9
- to be continued

**Lecture 8**: to be announced

**Lecture 9**: to be announced