Lecture04 - Introduction to Statistics Statistics 110,...

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Introduction to Statistics Statistics 110, Spring 2010 Professor Edsel A. Pe˜na E-Mail: pena@stat.sc.edu January 26, 2010 Professor Edsel A. Pe˜ na E-Mail: pena@stat.sc.edu Introduction to Statistics Statistics 110, Spring 2010
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LECTURE 04 On Presentation of Data, Samples, and Sampling Variability Professor Edsel A. Pe˜ na E-Mail: pena@stat.sc.edu Introduction to Statistics Statistics 110, Spring 2010
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Class Data Set as Population of Interest Let us examine the raw data that arose from our class data gathering survey. We will consider this class data set as our population of interest ! It is a small population, but it will suffice for our demonstrations. Professor Edsel A. Pe˜ na E-Mail: pena@stat.sc.edu Introduction to Statistics Statistics 110, Spring 2010
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Variables in Data Set LtrsLName: number of letters in the last name. Gender: 0 is Female and 1 is Male. Height: height in inches. Weight: weight in pounds. LastDigSSN: last digit in social security number. NumSiblings: number of brothers and sisters. AmtMoney: amount of money in pocket. GPA: current grade point average. ItsMe: a one word adjective to describe self! Professor Edsel A. Pe˜ na E-Mail: pena@stat.sc.edu Introduction to Statistics Statistics 110, Spring 2010
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The Raw Data Data needed to be ‘cleaned out’! For big data sets, this could be a painstaking endeavor. Let’s look at the ‘cleaned raw data’. Raw data in a text fle. Raw data as a Minitab worksheet. Raw data in a StatCrunch worksheet. Other possible fle types (R, SAS, SPSS, Systat, Excel, etc.) Professor Edsel A. Pe˜ na E-Mail: pena@stat.sc.edu Introduction to Statistics Statistics 110, Spring 2010
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Few Rows Out of 145 Rows in Raw Data #LN Gen Hei Wei Dig #Si Mon GPA ItsMe 4 1 74.0 185 8 0 23 2.900 fun 9 0 68.0 125 5 2 30 2.678 energetic 8 0 66.0 145 3 2 0 NA Outgoing 6 0 68.0 120 2 2 20 3.800 sweet 6 0 65.0 120 4 2 60 4.000 nice 5 0 68.0 115 5 2 70 3.680 fun 6 1 71.0 127 6 1 0 3.400 pterodactly 7 1 64.0 110 8 2 10 3.700 studious 7 0 62.0 100 4 0 15 3.653 fun 6 1 73.0 173 5 3 5 3.250 conFdent 6 1 74.0 190 8 1 11 2.600 funny 7 0 66.0 137 4 4 5 3.400 spunky Professor Edsel A. Pe˜ na E-Mail: pena@stat.sc.edu Introduction to Statistics Statistics 110, Spring 2010
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Information about Raw Data Looking at this raw data, do you get a good picture yet of the whole data set, or about the characteristics of the students in this class? Most probably not! Need to organize and summarize raw data! Let’s see how we could do some simple summaries. Professor Edsel A. Pe˜ na E-Mail: pena@stat.sc.edu Introduction to Statistics Statistics 110, Spring 2010
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Order out of Chaos The frst order oF business is that oF summarizing and organizing the data. Usually done through graphs, pictures, plots, etc. As the
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Lecture04 - Introduction to Statistics Statistics 110,...

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