CHAPTER 1 REVIEW – MISCONCEPTIONS AND CLARIFICATIONS

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Presentation transcript:

CHAPTER 1 REVIEW – MISCONCEPTIONS AND CLARIFICATIONS

STEM AND LEAF Create a stem and leaf for the data, then split stems. It is OK to round data if you are creating a graphical display. We are only interested in a general shape of the data. What 3 things must be addressed when describing a distribution?

HISTOGRAMS What is a histogram? How does it display data?

DETERMINING OUTLIERS Use 1.5 x IQR to determine if a point is an outlier. Good and bad box plots Good…. Bad….

COMPUTING STANDARD DEVIATION xi 1.4 .1 .01 2.2 .7 .49 1.1 .4 .16 1.6 1.2 .3 .09 What are deviations? What is variance? What does standard deviation tell us?

PERCENTILES AND OGIVES What is meant by the 40% percentile? What do you read on an ogive?