BSB123 Lecture : Week 1.docx
6 Aug 2013
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Lecture 1: introduction to statistics & introduction to excel. A population consist of all the members of a group about which you want to draw a conclusion. A sample is the portion of the population selected for analysis. A parameter is a numerical measure that describes a characteristic of a population. A statistic is a numerical measure that describes a characteristics of a sample. Greek letters are used for population data ( , , ) Roman letters are used for sample data (x, s, n) A sample is a selection of measurements (subset) from all measurements (population) Important sources *survey, study, data distributed by organisation or a individual* Secondary sources: present data *tables and graphs, characterise data * sample mean. Inferential statistics: drawing conclusions about a population of data based on the sample data, estimation *estimate the population mean weight (parameter) using the sample mean weight (statistic), hypothesis testing *testing the claim of a population* ixn types of data.
