## Syllabus

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

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

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

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

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