Unit 0 : Managing Information and Collecting Data
Objectives
Introduction
Section 0.1: Management Data, Information and Decision Making
- Managing information and data
- What are data and information?
- A data-collecting situation
Section 0.2: Collecting Data
- Primary and secondary sources
- Secondary sources
- Collecting primary data
- Samples and populations
- Sampling methods
Section 0.3: Questionnaire Design and Use
- Planning, evaluating and using questionnaires
Section 0.4: Displaying Data to Create Information
- Displaying qualitative data
- Displaying quantitative data
Summary
Further Reading
Unit 1 : Describing Data and Designing Information
Objectives
Introduction
Section 1.1: Describing Data
- Kinds of data
- Kinds of description for quantitative data
- Tools for analysing or presenting data
Section 1.2: Describing Numeric Data
- Describing raw data
- Descriptive statistics for numeric data
Section 1.3: Analysing Data from Rapid Ltd Branches
- Constructing a frequency table
- Constructing a frequency distribution chart
- Describing the shape of the distribution
- Parametric statistics: mean and standard deviation
- Robust statistics: quartiles, median and quartile range
- Simple statistics: mode and range
Section 1.4: Only Grouped Data are Available
- Quality standards at Rapid Ltd
- Parametric statistics: group mean and standard deviation
- Robust statistics: grouped quartiles, median and quartile range
- Simple statistics: grouped mode and range
Section 1.5: Selecting and Using Descriptive Techniques for Optimum Information Design
- What a statistical package can produce
- Designing the information for a report or presentation
Summary
Unit 2 : Estimation and Confidence Intervals
Objectives
Introduction
Section 2.1: Population, Sample and Distribution
- Population and sample: an inferential gap
- What is a distribution?
- The normal distribution
- The binomial distribution: a comparison
Section 2.2: Sampling Distributions
- Sampling distribution of a mean
- Finding the standard error
Section 2.3: Confidence Intervals
- Confidence interval for a mean
- Confidence interval for a percentage
Summary
Further Reading
Unit 3 : Making Judgements about Data
Objectives
Introduction
Section 3.1: Hypothesis Testing
Section 3.2: Doing a Hypothesis Test
Section 3.3: Examining a Relationship
Summary
Further Reading
Unit 4 : Forecasting and Time series
Objectives
Introduction
Section 4.1: Forecasting
- Introduction to forecasting
Section 4.2: Handling Time Series
- Using index numbers in published sources
Summary
Further Reading
Unit 5 : Forecasting using Linear Regression
Objectives
Introduction
Section 5.1: Making and Using a Forecasting Model
- The linear regression model
- Is there really a relationship between price and demand?
- How strong is the price/demand relationship?
- Is the model satisfactory?
- Developing a better model
- Forecasting from the model
- Making sense of software output
Summary
Further Reading |
