**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

- Making judgements

Section 3.2: Doing a Hypothesis Test

- 1-way chi-square test

Section 3.3: Examining a Relationship

- 2-way chi-square test

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

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