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chapter 1notes - STA 2023 Elementary Statistics Lecture...

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STA 2023 Elementary Statistics Lecture Notes Chapter 1 – Introduction to Statistics Professor Achenbach Introduction Statistics - the science of collecting, organizing, analyzing, and interpreting Data. Chapter 1: Collecting Data Chapter 2: Organizing/Analyzing Data Chapters 3-8: Interpreting Data Types of Data Sets Population - data set consisting of all outcomes, measurements, or responses of interest Sample - data set which is a subset of the population data set Examples: If we are interested in measuring the salaries of American high-school teachers, the population data set would be a list of the salaries of every high-school teacher in America. A sample data set could be obtained by selecting 100 high-school teachers from a across the country and listing their salaries. A polling organization wants to know whether Americans favor increased defense spending. The population data set would consist of the responses of every American. A common way of choosing a sample data set would be to randomly call 1000 Americans and gather their responses to the question of whether they favor increased defense spending. A biologist wants to measure the weights of female Alaskan grizzly bears. What would be the population data set? A possible sample set? 1
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Types of Measurements Parameter - a numerical measurement made using the population data set Statistic - a numerical measurement made using a sample data set Examples: Using the teacher salary data sets, we could calculate the average salary for the high-school teachers.
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