Unit 3 Intro: Variability - Presentation Transcript
Unit 3: Getting Started with Variability
Review – Data and Averages Data may be drawn from a sample, or from each member of the population. Averages use a single number to summarize the values of a set of data points Three averages are commonly used The Mode for qualitative data The Mean and the Median for quantitative data
Review – Mean and Median Strengths of the Mean Most common form of average Influenced by the value of each data point Widely used in more advanced statistical techniques Strengths of the Median Not influenced by extremely high or low scores Can be computed in some circumstances in which it is not possible to compute the Mean
Review – Symbols n is the number of scores or data points X represents a single score and M represent the mean of a set of scores Σ indicates that the items that follow shouldbe added together (….)² indicates that the items inside the parentheses should be squared indicates that the square root of the items inside is required.
What IS Variability? Variability is a measure of how different scores are from one another within a set of data points. Synonyms: spread,dispersion. Novels are 100,000 words long, on average Moby Dick is 213,724 words A Christmas Carol is 29,100 How could we measure the variability of book length?. Bookhaven by waffler at http://www.flickr.com/photos/adrian_s/23441729/
An Example Julian comes to the Tutor Center with an average quiz score of 15 out of 25. Delia also comes to the Tutor Centerwith a 15 out of 25 average score. Both want to improve their scores Do we know enough to begin to help them? Let’s look at their scores…
Here are their scores for the first 20 daily quizzes: Let’s analyze the pattern of each student’s scores.
Describing Julian’s scores Best score = 18 Worst score = 13 Most scores are 14, 15, or 16 Consistent, stable Low variability
Describing Delia’s scores Best score = 22 Worst score = 8 Few scores repeat Erratic, up-and-down High variability
Variability guides your advice! Both students want a higher mean score. With low variability, Julian might focus on new study methods to master more material. With high variability, Delia might focus on consistent study habits to repeat her high scores. How can we measureanddescribe variability?
Chapter 3 and the lecture for this module describe several measures of variability The Range and Interquartile Range (IQR) describe the distance from high to low scores The Standard Deviation describes the “average” distance from a score to the mean. The Variance measures the total amount of variability in the data set. Variability can be measured!
Preview Variability is a key concept for the rest of the course Lectures in this unit are a bit longer Statistical Analysis Toolpak computes these measures for you An Excel Video demonstrates these methods fully
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