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UT Knoxville STAT 201 - Exam 1 Topics

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Stat 201 – Spring 2014 Exam 1: Study Topics Chapter 2: Type of Variables - Quantitative versus categorical variable - Recognizing what is not a variable at all Chapter 3: Categorical Variables - Reading pie charts, bar charts, comparing the two - Frequency table versus relative frequency table - Being able to calculate a relative frequency - Being able to calculate a marginal distribution - Being able to calculate a conditional distribution - Interpreting segmented bar charts, mosaic plots - Recognizing independence or dependence from mosaic plots Chapter 4: - Calculating a Range and the IQR (given Q1 and Q3) - When to use mean and s versus median and IQR - Interpreting median, mean, quartiles, IQR, range and standard deviation - Interpreting shape, center, spread and unusual features from a histogram - Comparing histograms versus stem and leaf displays - Identifying symmetry – skewness – outliers – gaps (from histograms or stem and leaf) - Calculating a median by hand and interpreting it - Know what the 5 number summary is - Calculating a mean by hand and interpreting it - Given the variance, calculate the standard deviation Chapter 5: - Interpreting side by side box plots - Comparing distributions (using histograms) - Identifying and interpreting box plot components - Use of common scaling on histograms when making comparisons - Recognizing a trend in a time plot Pivot Tables & Pivot Charts: - Reading Pivot Tables in Excel - Being able to recognize unusual information displayed in Pivot Tables and/or Charts - Being able to make recommendations to make presented information better - Be familiar with data set used in class Chapter 6: - Calculating Z‐scores, comparing two values - 68‐95‐99.7 rule - Understanding Z‐scores, s as a “ruler” - Interpreting normal probability plots and goodness of fit tests - Identifying outliers - Understanding the difference between positive and negative Z‐scores - Recognizing the normal model, relationship between normal model and Z‐scores - “Nearly Normal Condition” - Note: no use of the “Z‐table” Chapter 7 - Know which type of variables we use to create a scatter plot - Interpret a scatter plot - Direction (distinguish positive versus negative relationship) - Form (distinguish linear versus curvy relationship) - Strength (distinguish strong versus weak relationship) - Unusual Features (be able to spot an outlier or groups) - Know the difference between explanatory and response variables - Know the bounds for r - Be able to match r to example scatter plots - Know the 3 necessary conditions for correlation analysis - Describe what it means for a correlation to be ‐1, 0, and 1 - Understand the difference between correlation and causation -


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UT Knoxville STAT 201 - Exam 1 Topics

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