课程简介
The objectives for the students for this class are:
l Earn the ability for critical thinking
l Analysis and evaluate claims, evidence and arguments
l To reason and deploy evidence clearly and logically
l Earn the ability to deploy critically evaluated information to practical ends
After class study, students are expected to have mastered:
l Data analysis and its use as a managerial tool
l Statistical methods with material related to subjects taught in the school of business.
Students for this class will also develop their quantitative and ICT skills and learn how to apply statistical techniques to solve problems in the real world of business.
课程大纲
Introduction
1.1 Introduction
1.2 Type of Variables
Frequency
2.1 Frequency and Frequency Disturbiution
2.2 Graphic Presentation for Frequency Disturbituion
Numerical Messures
3.1 Mean
3.2 Median and Mode
3.3 Dispersions
Display and Exploring Data
4.1 Percentile and Box Plot
4.2 Other tools
Index Numbers
5.1 Term of Index
5.2 Index in Buinesss
A Survey of Probability Concepts
6.1 Basic Concept of Probability
6.2 Rule for Computing Probabilities
6.3 Contingency Table
6.4 Counting Rules
6.5 Bayes’ Theorem
Introduction to Decision Making
7.1 Statiscal Decision Theory
7.2 Decsion Strategies
Probability Distributions
8.1 Random Variables
8.2 Binomial Probability Distribution
8.3 Hypergeometric Distribution
8.4 Poission Probability Distribution
The Normal Probability Distribution
9.1 Uniform Distribution
9.2 Normal Distribution
9.3 Normal Distribution 2
Sampling Methods and the Central Limit Throrem
10.1 Sampling
10.2 Central Limit Theorem
Estimation and Confidence Intervals
11.1 Interval estimation and T distribution
11.2 Interval approximation estimates the binomial distribution
11.3 Selecting a Sample Size
One Sample Test of Hypothiesis
12.1 Basic concepts of hypothesis testing
12.2 Basic calculation of hypothesis test
12.3 Type of Errors
12.4 Single sample hypothesis test calculation
12.5 Single sample hypothesis test calculation (scale)
Two-sample Tests of Hypothesis
13.1 Population Mean Comparing
13.2 Two-Sample Test about Proportions
13.3 Small sample test of means
13.4 Dependent Samples
Analysis of Variance
14.1 F-Distribution and Test for Equal Variances
14.2 Comparing Means of Two or Mors Populations
14.3 Inferences About Treatment Means
14.4 Two-Way Analysis of Variance
14.5 Two-Way Anova with Ineraction
Linear regression and correlation
15.1 Correlation Analysis
15.2 Regression Analysis
15.3 Evaluating a Regression Equation’s Ability to Predict
15.4 Interval Estimates of Prediction
15.5 Transforming Data
Multiple Regression and Correlation Analysis
16.1 Multiple Regression Analysis
16.2 Evaluating a Multiple Regression Equation
16.3 Inferences in Multiple Linear Regression Global Test
16.4 Inferences in Multiple Linear Regression Individual
16.5 Evaluating the Assumptions of Multiple Regression
16.6 Qualitative Independent Variable
16.7 Regression Models with Interaction
16.8 Stepwise Regression
1.1 Introduction
1.2 Type of Variables
Frequency
2.1 Frequency and Frequency Disturbiution
2.2 Graphic Presentation for Frequency Disturbituion
Numerical Messures
3.1 Mean
3.2 Median and Mode
3.3 Dispersions
Display and Exploring Data
4.1 Percentile and Box Plot
4.2 Other tools
Index Numbers
5.1 Term of Index
5.2 Index in Buinesss
A Survey of Probability Concepts
6.1 Basic Concept of Probability
6.2 Rule for Computing Probabilities
6.3 Contingency Table
6.4 Counting Rules
6.5 Bayes’ Theorem
Introduction to Decision Making
7.1 Statiscal Decision Theory
7.2 Decsion Strategies
Probability Distributions
8.1 Random Variables
8.2 Binomial Probability Distribution
8.3 Hypergeometric Distribution
8.4 Poission Probability Distribution
The Normal Probability Distribution
9.1 Uniform Distribution
9.2 Normal Distribution
9.3 Normal Distribution 2
Sampling Methods and the Central Limit Throrem
10.1 Sampling
10.2 Central Limit Theorem
Estimation and Confidence Intervals
11.1 Interval estimation and T distribution
11.2 Interval approximation estimates the binomial distribution
11.3 Selecting a Sample Size
One Sample Test of Hypothiesis
12.1 Basic concepts of hypothesis testing
12.2 Basic calculation of hypothesis test
12.3 Type of Errors
12.4 Single sample hypothesis test calculation
12.5 Single sample hypothesis test calculation (scale)
Two-sample Tests of Hypothesis
13.1 Population Mean Comparing
13.2 Two-Sample Test about Proportions
13.3 Small sample test of means
13.4 Dependent Samples
Analysis of Variance
14.1 F-Distribution and Test for Equal Variances
14.2 Comparing Means of Two or Mors Populations
14.3 Inferences About Treatment Means
14.4 Two-Way Analysis of Variance
14.5 Two-Way Anova with Ineraction
Linear regression and correlation
15.1 Correlation Analysis
15.2 Regression Analysis
15.3 Evaluating a Regression Equation’s Ability to Predict
15.4 Interval Estimates of Prediction
15.5 Transforming Data
Multiple Regression and Correlation Analysis
16.1 Multiple Regression Analysis
16.2 Evaluating a Multiple Regression Equation
16.3 Inferences in Multiple Linear Regression Global Test
16.4 Inferences in Multiple Linear Regression Individual
16.5 Evaluating the Assumptions of Multiple Regression
16.6 Qualitative Independent Variable
16.7 Regression Models with Interaction
16.8 Stepwise Regression
