AP Chapter 1 Test - What You Are Responsible For Knowing
Vocabulary & Concepts:
*** From Chapter 1
individuals & variables
Categorical vs. quantitative variables
Distribution (know definition)
Center, Spread, Shape
Symmetric, skewed to the right, skewed to the left
Relative Frequency, cumulative frequency, percentiles, and ogives
Know how to read and interpret an ogive
percentile (know definition)
outliers
Mean vs. Median
n-sample size
definition of a resistant measure - also know what variables are resistant measures and which are not resistant measures
Quartiles, Q1, Q2, Q3
IQR
5 number summary
measures of spread (standard deviation, variance, IQR)
Linear Transformation
How to compare distributions (back-to-back stem plots, side-by-side bar graphs, & side-by-side box plots)
*** From Chapter 5, know:
observational study vs. experiment ( know definitions)
sample
confounded (pg. 270)
population vs. sample
sampling vs. census
voluntary response sample
convenience sampling
*** From R & Rweb
entering data
creating stem plots, histograms, boxplots
calculating mean, median, summary, maximum, minimum, standard deviation, variance, range, sample size (length function)
Know how to construct a:
bar graph
dotplot
stemplot
histogram
regular boxplot
modified boxplot (know how to find outliers, how to calculate the outlier threshold)
Calculate 1-Var Stats, construct histograms, and modified boxplots using the TI-83
*** From Chapter 1
individuals & variables
Categorical vs. quantitative variables
Distribution (know definition)
Center, Spread, Shape
Symmetric, skewed to the right, skewed to the left
Relative Frequency, cumulative frequency, percentiles, and ogives
Know how to read and interpret an ogive
percentile (know definition)
outliers
Mean vs. Median
n-sample size
definition of a resistant measure - also know what variables are resistant measures and which are not resistant measures
Quartiles, Q1, Q2, Q3
IQR
5 number summary
measures of spread (standard deviation, variance, IQR)
Linear Transformation
How to compare distributions (back-to-back stem plots, side-by-side bar graphs, & side-by-side box plots)
*** From Chapter 5, know:
observational study vs. experiment ( know definitions)
sample
confounded (pg. 270)
population vs. sample
sampling vs. census
voluntary response sample
convenience sampling
*** From R & Rweb
entering data
creating stem plots, histograms, boxplots
calculating mean, median, summary, maximum, minimum, standard deviation, variance, range, sample size (length function)
Know how to construct a:
bar graph
dotplot
stemplot
histogram
regular boxplot
modified boxplot (know how to find outliers, how to calculate the outlier threshold)
Calculate 1-Var Stats, construct histograms, and modified boxplots using the TI-83