Difference between revisions of "Stat 202 Discussion"
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* Be able to describe the distribution of a single quantitative variable (histogram, box plot, QQ plot, shape, outliers, center, spread, modes, symmetry, skewness, normal/bell shaped, mean, median, standard deviation, Q1, Q3, IQR, percentiles). | * Be able to describe the distribution of a single quantitative variable (histogram, box plot, QQ plot, shape, outliers, center, spread, modes, symmetry, skewness, normal/bell shaped, mean, median, standard deviation, Q1, Q3, IQR, percentiles). | ||
* Be able to describe the distribution of a categorical variable (bar plot, pie chart, frequency table). | * Be able to describe the distribution of a categorical variable (bar plot, pie chart, frequency table). | ||
| + | * Understand the concept of a transformation of a variable (e.g. z-score, change of units, log) and know the special properties of a linear transformation. | ||
Revision as of 18:30, 31 October 2018
Broad Objectives
Part I
- Understand the traditional way of structuring data (tables, cases, variables, values).
- Be able to recognize the types of variables in a data set (quantitative, identifier, categorical (ordinal, nominal, binary)).
- Understand that different analyses and displays are appropriate for different types of variables.
- Understand the concept of a distribution (what values a variable takes and how often it takes those values).
- Be able to describe the distribution of a single quantitative variable (histogram, box plot, QQ plot, shape, outliers, center, spread, modes, symmetry, skewness, normal/bell shaped, mean, median, standard deviation, Q1, Q3, IQR, percentiles).
- Be able to describe the distribution of a categorical variable (bar plot, pie chart, frequency table).
- Understand the concept of a transformation of a variable (e.g. z-score, change of units, log) and know the special properties of a linear transformation.
