Statistics for business administration
Prof.univ.dr.Constantin MITRUT; Conf.univ.dr.Dana SERBAN; Prep.univ.drd.Cristina Andreea MITRUT


Cuprinsul crii:

Chapter 1. INTRODUCTION TO STATISTIC S
1.1 Introduction
1.2 Descriptive and Inferential Statistics
1.3 Basic Concepts of Statistics
1.4 Exercises

Chapter 2. DATA COLLECTION
2.1 Introduction
2.2 Measurement Levels
2.3 Statistical Investigation Process
2.4 Secondary Sources of Data and their Use
2.5 Methods of Collecting Primary Data. Interviewing Methods
2.5.1 Personal Interviews
2.5.2 Telephone Interviews
2.5.3 Mail Surveys
2.5.4 Computer Direct Interviews
2.5.5 E-mail Surveys
2.5.6 Web-page Surveys
2.5.7 Scanning Questionnaires
2.5.8 Summary of Survey Methods
2.6 Questionnaire Design
2.6.1 General Considerations
2.6.2 Steps for the Questionnaire Development
2.6.3 General Data Collection Tips
2.7 Exercises

Chapter 3. DATA SUMMARIZING AND PRESENTATION
3.1 Introduction
3.2 Data Summarizing and Classification. Frequency Distributions
3.2.1 Classification by Categories
3.2.2 Data Summarizing by Classes
3.3 Visual Data Presentation into Tables
3.3.1 Presentation of Discrete Data
3.3.2 Non-numeric Frequency Distributions
3.3.3 Times Series Presentation
3.4 Visual Data Presentation into Graphical Displays. Types of Charts
3.4.1 Pictograms
3.4.2 Bar Charts
3.4.3 Pie Charts
3.4.4 Histograms
3.4.5 Strata Charts
3.4.6 Z-charts
3.4.7 GANTT Charts
3.4.8 Actual and Percentage Increases in Time Series
3.4.9 Semi-logarithmic Graphs
3.5 Exercises

Chapter 4. CENTRAL TENDENCY MEASURES
4.1 Introduction
4.2 The Arithmetic Mean
4.2.1 Definition
4.2.2 Properties
4.2.3 The Arithmetic Mean Computed for a Binary Variable
4.3 Special Categories of Means
4.3.1 The Harmonic Mean
4.3.2 The Geometric Mean
4.3.3 The Quadratic Mean
4.4 The Mode
4.4.1 Definition
4.4.2 Properties
4.5 The Median
4.5.1 Definition
4.5.2 Properties
4.6 Fractiles
4.7 Comparing the Central Tendency Measures
4.8 Exercises

Chapter 5. MEASURES OF VARIATION
5.1 Introduction
5.2 Simple Measures of Dispersion
5.3 Synthetic Measures of Dispersion
5.3.1 Average Deviation Measures
5.3.2 Relative Dispersion Measures
5.4 Dispersion Measures for a Binary Variable
5.5 Measuring the Variation for Populations Classified by Two Variables. Cross-tables Variances
5.6 Distribution Shape Measures. Skewness
5.7 Exercises

Chapter 6. SAMPLING AND SURVEYS
6.1 Introduction
6.2 Main Sampling Concepts
6.3 Types of Selection Procedure
6.4 Sampling Errors
6.5 Categories of Samples
6.6 Types of Estimates: Point Estimates and Interval Estimates
6.6.1 Inference on the Population Mean
6.6.2 Inference on the Population Proportion
6.7 Properties of Estimators
6.8 Confidence and Probability
6.9 Main Significance Tests Used in Sampling
6.9.1 Various Types of Hypotheses. Errors and Risks
6.9.2 The Z Test Concerning the Mean of the Normally Distributed Population
6.9.3 The t Test Concerning the Mean of the Normal Population
6.9.4 The c 2 Test Concerning the Variance s 2 of a Normal Population
6.9.5 The Hypothesis Concerning the Variances Equality for Two Normal Populations. The F Test
6.9.6 The Z Test Concerning the Difference between the Means of Two Normal Populations
6.9.7 The t Test Concerning the Means Difference of Two Normal Populations
6.9.8 The Hypotheses Concerning Alternative Characteristics
6.10 Exercises

Chapter 7 . REGRESSION AND CORRELATION
7.1 Introduction
7.2 Categories of Relations between Variables
7.3 Simple Regression Model
7.3.1 Simple Linear Regression Model
7.3.2 Least Squares Method
7.3.3 Using the Results of the Simple Regression Analysis
7.3.4 Quality of the Regression Line. Regression Line Standard Error
7.3.5 Constructing the Confidence Interval
7.3.6 Standard Errors for the Parameters b0 and b1
7.4 Non-linear Regression Models
7.5 Multiple Regression Models
7.6 Correlation between Variables
7.6.1 Parametric Measures of Simple Correlation. Coefficient and Ratio of Correlation
7.6.2 Parametric Measures of Multiple Correlation
7.6.3 Nonparametric Measures of Correlation
7.7 Exercises

Chapter 8 . TIME SERIES AND FORECASTING
8.1 Introduction
8.2 Time Series Variations
8.3 Trend Analysis
8.3.1 Trend Analysis Reasons
8.3.2 Adjusting Linear Trend by Least Squares Method
8.3.3 Marking or Coding Time
8.3.4 Time Series Adjustment with the Second Degree Equation
8.4 Cyclical Variation. Residual Method
8.5 Seasonal Variation
8.5.1 Moving-average Method
8.5.2 Seasonal Indexes
8.6 Forecasting Techniques
8.6.1 Judgmental Techniques
8.6.2 Quantitative Techniques
8.6.3 Forecasting errors
8.7 Exercises

Chapter 9 . Index numbers
9.1 Introduction
9.2 Categories of Indexes
9.2.1 Individual Indexes
9.2.2 Aggregate Indexes
9.2.3 Indexes as Averages of Individual Index Numbers
9.2.4 Indexes as Ratio of Two Means
9.2.5 Choosing the Index Base
9.3 Examples of Indexes: Price, Quantity and Value Index Numbers
9.3.1 Simple Price and Quantity Index
9.3.2 Composite Price Index
9.3.3 Weighted Composite Prices Indexes
9.3.4 Average of Individual Indexes Method
9.4 Average Price Index a Ratio of Two Means
9.5 Exercises

Selective References