Upload
poppy-newton
View
217
Download
0
Embed Size (px)
DESCRIPTION
Vocabulary Variable: Any characteristic whose value may change from one individual/object to another. Categorical e.g. hair color Quantitative (Numerical) e.g. how many hours of fun Example: See Handout
Citation preview
Chapter 1Lesson 1.4
The Role of Statistics and the Data Analysis Process
1.4: Types of Data and Some Simple Graphical Displays
Vocabulary
• Univariate Data Set:A data set consisting of observations on a single characteristic/variable.
• Bivariate Data Set:A data set consisting of observations on two characteristics/
variable.
Examples?
VocabularyVariable:Any characteristic whose value may change from one individual/object to another.
• Categorical e.g. hair color
• Quantitative (Numerical)e.g. how many hours of fun
Example: See Handout
Vocabulary
• Categorical
• Quantitative– Discrete variables can take one of a finite number of
distinct outcomes (isolated points on a #-line.)• Example:
– Continuous variables can take any numeric value within a range of values (interval on a #-line.)
• Example:
Frequency and Relative Frequency
• Refer to pg.13 (4th ed.) for definitionsExample:
Example: Titanic Survival Count by Class
What would the relative frequency be (in %s)?
Bar Charts• A bar chart displays the distribution of a categorical variable,
showing the counts for each category next to each other for easy comparison.
• A bar chart stays true to the area principle.
• Thus, a better display for the ship data is this as opposed to…
Dotplots• A dotplot is a simple
display. It just places a dot along an axis for each case in the data.
• The dotplot to the right shows Kentucky Derby winning times, plotting each race as its own dot.
• You might see a dotplot displayed horizontally or vertically.
Use for small numerical (sometimes categorical) data sets.
HOMEWORK
Pg.18: #1.12, 1.13, 1.14, 1.17, 1.20, 1.21, 1.24
Quiz 1.1-1.4