- Quantitative Displays
- Categorical Displays
- Center
- Spread
- Measures of Center
- Measures of Spread
- Interquartile Range (IQR) (both a definition, and the formula)
- Range
- Standard Deviation
- Percentile
- Boxplot
- Histogram
- Dotplot
- Stemplot
- Variance (standard deviation, squared)
- Mean
- Median
- Know how to calculate fences to determine if a data value is an outlier
- Skewed left/right
- Symmetric
Also, we have a test Friday! It's a big deal! Here's a breakdown of what's on that...
- The test includes both open ended and 6 multiple choice questions!
- Determine if a variable is quantitative or categorical (ch. 2)
- Reading histograms...(ch. 4)
- Find sample size, median, and describe shape
- Determine if values are outliers (fences!) (ch. 5)
- Calculating probabilities (like our Titanic stamp problem!) (ch. 3)
- Describing distributions:(ch. 4 and 5)
- Shape, outliers, center, spread (know how to describe each!)
- Know the "appropriate summary statistics," depending on shape
- Know how mean/median compare for different shapes (of distributions) (ch. 5)
- Creating histograms (ch. 4)
- Creating boxplots (both with and without the calculator) (ch. 5)
- Comparing distributions (primarily boxplots) (ch. 4 and 5)
- Finding an average of 2 samples (like that hw problem, p. 97, 37f)
- Know how measures of center (mean, median, mode, midrange) and spread (range, standard deviation/variance, IQR) are affected by extreme values (ch. 5)
- Match boxplots/histograms (ch. 4 and 5)
- Reading graphical displays for categorical data (bar graph, relative bar graph) (ch. 3)
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