Week 1 lecture note - Lessons 1 and 2: Turning Data Into...

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Lessons 1 and 2: Turning Data Into Information Introduction This lesson discusses the importance of "getting a picture" of your data and some of the basics in interpreting these pictures. Let's get started! Here is what you will learn in this lesson. Learning objectives for this lesson Upon completion of this lesson, you should be able to understand: the importance of graphing your data how to interpret the shape of a distribution what is a five-number summary and its interpretation the meaning of descriptive statistics what "average" means in statistics-speak the relationship between mean and median of a distribution some basic Minitab statistics and graphing methods Four features to consider for quantitative variables are: 1. Shape 2. Location (center or average) 3. Spread (variability) 4. Outliers Shape The shape of a dataset is usually described as either symmetric , meaning that it is similar on both sides of the center, or skewed , meaning that the values are more spread out on one side of the center than on the other. If it is skewed to the right (or positivey skewed) , the higher values (toward the right on a number line) are more spread out than the lower values. If it is skewed to the left (or negatively skewed) , the lower values (toward the left on a number line) are more spread out than the higher values. A symmetric dataset may be bell-shaped or another symmetric shape. The shape is called unimodal if there is one prominent peak in the distribution, and is called bimodal if there are two prominent peaks. Figures 1, 2 and 3 show examples of three different shapes Figure 1, a histogram of
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This note was uploaded on 03/30/2008 for the course STAT 200 taught by Professor Barroso,joaor during the Spring '08 term at Pennsylvania State University, University Park.

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Week 1 lecture note - Lessons 1 and 2: Turning Data Into...

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