Introduction & Descriptive Statistics
TOPIC 1
INTRODUCTION & DESCRIPTIVE STATISTICS
BASIC CONCEPTS
Situation: A journalist is preparing a program segment on what appears to be the relatively disadvantaged financial position of women and the incidence of female poverty in Australia.
Several questions may arise, for example: • What is the pattern of female incomes? • How severe is the problem of female poverty and what proportion fall below the ‘poverty line’? • Has their general level of income improved over the last ten years? • Are single working mothers especially disadvantaged? • Working mothers often need to put their children into day-care. What should the capacity of the local centre be? • How does their income compare with their male counterparts? Has the gap become any smaller over the last ten years? • Do women have less leisure time than their married partners? • Has the occupational pattern of women changed since the previous generation? • Is there any connection between the occupation of a working mother and the leisure activities of her eldest daughter? • Are their incomes related to age, ethnic origin, education or other factors?
Answering these questions would require almost the full range of techniques covered in this course.
One of the most important initial steps in this investigation process is to develop a realistic picture of how the incomes of adult females and other variables of interest in the study vary. All investigation and research is about Variables. In this instance,
The Variables of interest in the study include E.g.
Population: The whole or entire collection of cases that are of interest in an investigation.
Eg.
Sample: A part of that population which is small enough to be economical and large enough to give us a reasonably accurate picture of the whole.
Eg.
Data: The measured values of the variable(s) of interest for every member of the sample.
Eg.
Statistic: A summary measure
INTRODUCTION & DESCRIPTIVE STATISTICS
BASIC CONCEPTS
Situation: A journalist is preparing a program segment on what appears to be the relatively disadvantaged financial position of women and the incidence of female poverty in Australia.
Several questions may arise, for example: • What is the pattern of female incomes? • How severe is the problem of female poverty and what proportion fall below the ‘poverty line’? • Has their general level of income improved over the last ten years? • Are single working mothers especially disadvantaged? • Working mothers often need to put their children into day-care. What should the capacity of the local centre be? • How does their income compare with their male counterparts? Has the gap become any smaller over the last ten years? • Do women have less leisure time than their married partners? • Has the occupational pattern of women changed since the previous generation? • Is there any connection between the occupation of a working mother and the leisure activities of her eldest daughter? • Are their incomes related to age, ethnic origin, education or other factors?
Answering these questions would require almost the full range of techniques covered in this course.
One of the most important initial steps in this investigation process is to develop a realistic picture of how the incomes of adult females and other variables of interest in the study vary. All investigation and research is about Variables. In this instance,
The Variables of interest in the study include E.g.
Population: The whole or entire collection of cases that are of interest in an investigation.
Eg.
Sample: A part of that population which is small enough to be economical and large enough to give us a reasonably accurate picture of the whole.
Eg.
Data: The measured values of the variable(s) of interest for every member of the sample.
Eg.
Statistic: A summary measure