Chapter 1 descriptive_statistcs_1_2009_rev1_

CHAPTER 2 DESCRIPTIVE STATISTICS ,[object Object],[object Object]

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Learning Objectives:

Population – Sample ( Definition) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Illustration of selection of a sample from a population

Population - Sample ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Variable Quantitative Qualitative or categorical (e.g. make of a computer, hair colour Gender) Discrete (e.g. number of houses, Cars, accidents Continuous (e.g. length, age, height, Weight, time) Types of variables

Statistics Descriptive Statistics Inferential Statistics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

[object Object],[object Object],Numerical Summary : Mean X 10 X 7 X 3 X 1 X 8 X 2 X 5 X 4 X 6 X 9 1.5 0 1 3 6.5 7 8.5 9.5 10 11 5.5

Population mean (mu) : Sum of all values In the population The population size Sample mean The sample size Sum of all values In the sample MEAN

Population variance : Population standard deviation is Numerical Summary : Variability

[object Object],Sample Standard Deviation : SD = s Numerical Summary : Variability

Chapter 1 descriptive_statistcs_1_2009_rev1_

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Chapter 1 descriptive_statistcs_1_2009_rev1_