Background
The Statistics Concept Inventory is designed to be in
similar format to the Force Concept Inventory, which has been successful in
assessing student understanding of
Section Descriptions
Probability (10 questions)
Questions in this section assess the ability to interpret
simple probability statements, to understand independence, to recognize
independent and non-independent events, and to use knowledge of probabilities
and probability distributions to predict outcomes. The topics include:
·
probabilities of sequences
·
contingency tables, joint and marginal probabilities
·
law of large numbers
·
independence
·
memoryless property
·
conditional probability
·
properties of the normal distribution
Descriptive Statistics (9
questions)
Questions within this section are focused on data collection,
summary and presentation (non-graphical). The items assess the ability to
understand sampling and sampling methods, to choose and interpret appropriate
descriptive statistics, and to understand measures of central tendency and
spread. The topics include:
·
random sampling
·
stratified sampling
·
measures of central tendency: mean, median, mode
·
weighted means
·
standard deviation
·
variance
·
percentiles
·
outliers
Inferential (11 questions)
Questions in this section are focused on hypothesis
testing, confidence intervals, parameter estimation, and choosing appropriate
inference tests. The topics include:
·
sampling bias
·
t-distribution
·
defining hypotheses
·
inference on the mean
·
independent and dependent t-tests
·
z-tests
·
confidence intervals
·
p-values
·
sample size effect
Graphical (7 questions)
Questions in this section are focused on the use and
interpretation of graphical methods of data summary and presentation. The assess the ability to understand and interpret a variety
of graphical formats and relate them to other statistical concepts. The topics
include:
·
box plots
·
histograms
·
stem and leaf plots
·
cumulative frequency
·
central limit theorem
·
correlation
·
parent distributions of a sample
·
variability
·
effects of outliers
Advanced
Topics (5 questions)
Questions in this section focus on material not generally
encountered in an introductory statistics course. The topics include:
·
experimental design
·
linear regression
·
multiple regression
·
factorial design
If you are interested
in giving the test at your University, contact Teri Reed Rhoads.