Content Standards and Rubrics for Introductory Statistics
Introduction to Statistical Analysis is an introduction to techniques
used in descriptive and inferential statistics. Our section emphasizes
starting with the data and context, and learning to choose and use appropriate
techniques as needed within that context. Writing, communication and critical
thinking are also stressed. The Content Standards for the course are integrated
into the tasks (and accompanying assessment rubrics) and supported by appropriate
technology, all described below.
Content Standards
Indicator 1.1: Locating several
sources of introductory-level statistics in the media and in one's
major field of interest.
Indicator 1.2: Identifying and critiquing ambiguous or misleading statistical language.
Indicator 1.3: Making appropriate
inferences from numerical and graphical summaries, and
identifying when they are ambiguous,
misleading, or impossible.
Indicator 1.4: Assessing soundness
of reported results or methodology, and recognizing the
extent to which this can be done
with the information provided.
Indicator 1.5: Identifying results as statistically significant and/or practically significant.
Indicator 1.6: Demonstrating awareness
of popular misconceptions involving concepts such as
variability, aggregation, causation,
correlation, sampling, independence, bias, randomness,
probabilities and regression to
the mean.
STANDARD 2:
Students will be able to plan, implement and communicate the results of
a real-world data analysis to investigate an appropriate hypothesis they
have generated.
Indicators for Standard 2 include:
Indicator 2.1: Selecting
a problem or question of interest and identifying an appropriate procedure,
hypothesis, sampling procedure,
sample size, instrument, statistical test.
Indicator 2.2: Identifying
and applying any applicable ethical considerations BEFORE data are collected.
Indicator 2.3: Appropriately
collecting, "cleaning up", coding/transforming, and summarizing the data
collected.
Indicator 2.4: Analyzing
the data collected with appropriate tools and computing relevant descriptive
and inferential statistics.
Indicator 2.5: Interpreting
the results in both statistical and practical terms, discussing any statistical
and
nonstatistical sources of
error.
Indicator 2.6: Communicating
the results professionally (primarily in self-contained write-ups with
tables
and graphs, but ideally
also including small-group and whole-class oral presentations).
NOTE: Standard 2 is similar to #3 of Colorado Model Mathematics Content Standards; Standards 1 and 2 turned out to be very similar to standards articulated on p. 39 of in the 1997 IOS Press publication (I.Gal and J.Garfield, Eds.)The Assessment Challenge in Statistics Education)
Tasks (and their connections to the Standards):
QUIZZES: Quizzes are periodically given in class to reinforce material from the textbook or class activities and support various elements of Content Standard #1 and Content Standard #2. They are not always announced in advance, so be in the habit of bringing your calculator, book and notes to each class. Quizzes are designed to be assessment tools, not high pressure grade competitions, and are structured so that they can only help your grade in the course. Many quizzes will be designated to be completed by teams.LABS: After an ungraded "introduction to the technology" lab, we are currently scheduled to have a lab on each of several topics. These labs incorporate teamwork and technology to develop understanding of statistical concepts and to develop tools for realizing Content Standard #2.
PROJECT #1 (STATISTICS IN THE MEDIA): This project strongly supports course Content Standard #1 as it provides you a variety of opportunities to find, analyze and critique examples of statistics that are common in the mass media and/or your field of interest.
PROJECT #2 (ANALYSIS OF SELF-COLLECTED DATA): This project supports Course Standard #2 and allows you to put together most of the tools you have learned throughout the course as you identify an appropriate question of interest to you, formulate a testable hypothesis, plan and implement a data collection procedure, analyze the results and complete a full writeup. There will be checkpoints long before the project deadline to ensure you are on pace with a project that is manageable and within stated ethics guidelines.
FINAL: The 2.5 hour final exam will be held on the day and time scheduled by the Schedule of Classes (see short syllabus). Like life, it is cumulative, and has questions on it that support Standard #1 and Standard #2. Questions will reflect the diversity of types of assessments (labs, quizzes, projects) from the course, emphasizing real-life contextual interpretation and conceptual understanding over mathematical derivations, long calculations or reciting definitions. You will be allowed to use your textbook, class notes, returned assignments, calculator. The extent to which computers will be available will be announced well in advance. So, memorization should not be a factor and the length of the test will be such that time should not be a factor either!
Grading percentages specified in POLICIES; specific combination or application of assessment rubrics are specified when the assignment is passed out.The instructor reserves the right to modify the assignments, or number of assignments if necessary, but would announce any such changes well in advance.
RUBRICS
The following are Analytic Rubric Families that will be applied in various combinations to score certain assignments or writeups. Rubrics not only are a more dimensional, more meaningful, and less instructor-dependent description of student work than a letter grade, but also allow for specific areas of improvement to be identified and tracked over future work.(Even if time constraints force a less detailed application of these rubrics, it is still helpful to know what explicit criteria are being considered to assess overall quality of work.)
The exact combination of rubrics that will be used will be specified at the time the assignment is made as well as the method used to convert ratings of "Exceeds (expectations)", "Meets (expectations)" and "In Progress" into points, so that students will also be able to calculate "traditional grade equivalents". (Sample combinations appear below, however.) A very rough rule of thumb is to equate Exceeds with outstanding high A work, Meets with acceptably competent middle B work, and In Progress with work that might range from low C to F. N/A means "not applicable," as not all criteria have three levels.
Work Ethic/Ethics
| CRITERION | In Progress | Meets | Exceeds |
|---|---|---|---|
| punctuality | not turned in by deadline, but not late by more than 3 calendar days (see Policies on LateWork) | on time | N/A |
| completeness | no more than 10% of assignment omitted, incomplete or filled with answers to unassigned questions (if more than 10%, the total score for the assignment will be multiplied by the proportion of work completed) | all parts completed | N/A |
| ethics | one or more of the following (serious violations may incur additional
consequences):
stated ethics guidelines on data collection not followed; data are "mined" (analyzed selectively) in misleading manner; nonrandom data collection is represented as random; missing reference citations |
data collected with no more than a superficial deviation from stated
ethics guidelines
AND references are cited, but perhaps not fully |
data collected according to ethics guidelines; AND
data collected and/or analyzed in reasonably objective and open fashion AND appropriate citation of any references |
| CRITERION | In Progress | Meets | Exceeds |
|---|---|---|---|
| clarity | imprecise
distinction between lay & statistical usage
AND/OR misleading, unlabeled or inappropriately sized tables/graphs/axes/units; or unidentified variables in formulas |
no major instances and no more than two minor instances of "In Progress" items | procedures, writing & visuals are clear and could be understood by someone not in our class |
| professional appearance | one or more of the following:
writeup appears disorganized or sloppy; seriously distracting spelling, diction, grammar; tone inapproprate tone or level of formality for reader inappropriate inclusion, omission or appending of output |
neatly done, but reads like list of HW answers
AND/OR some errors in spelling, diction, grammar; flow of paper may be choppy at times |
"camera-ready", well-integrated, self-contained writeup
with solid writing that "flows";
judicious inclusion and integration of output; detail and balance of prose, tables, graphs appropriate for reader |
|
|
one or more of the following: distracting posture; not enough vocal projection or inflection; talk "read" to us; undue minimization or maximization of findings; poor sense of time awareness | handouts or A/V materials are easy to read, time limits followed; talk is not "read"; background info provided appropriately; body position appropriate in relation to visuals | creative and effective use of any handouts, A/V materials or equipment; awareness of and connection with audience; encourages/handles questions from audience |
| CRITERION | In Progress | Meets | Exceeds |
|---|---|---|---|
| hypotheses | hypotheses described are inconsistent,untestable or vague
AND/OR confusion between null and alternative hypotheses |
no more than a couple of minor refinements short of "Exceeds" description | hypotheses described in clear & precise language
AND variables operationally defined so that it is clear what type of statistical test and data are needed to test the hypothesis AND distinction between null and alternative hypotheses is clear |
| critical thinking | analysis has major errors or omissions and/or is largely superficial (i.e., at knowledge level of Bloom's taxonomy) and out-of-context | analysis is basically sound and is within the comprehension, application and analysis levels of Bloom's taxonomy | analysis also includes the synthesis and evaluation levels of Bloom's taxonomy, showing the ability to make defensible informed judgments with a "big picture" (i.e., executive summary) view; clear distinctions are made between "objective" facts and "evaluative judgments" |
| conclusions | inconsistent or not adequately supported by the data analysis
AND/OR not interpreted accurately at even a basic level |
conclusions are supported by the data and interpreted accurately at a basic level | meaningfully and insightfully interpreted in context; includes reflection on any assumptions, outliers and sources of error |
LAB: punctuality(8,14,X), completeness(8,14,X), clarity(8,14,18), professional appearance(8,14,18), appropriate choices(8,14,18), reasonable answers obtained/explained(8,14,18)
MEDIA PROJECT: punctuality(5,10,X), completeness(5,10,X), clarity(8,13,15); professional appearance(8,13,15), critical thinking(26,43,50)
DATA PROJECT: punctuality(8,14,X), completeness(8,14,X), ethics(6,9,12),
clarity(6,9,12), professional appearance(6,9,12), appropriate choices(6,9,12),
hypotheses(6,9,12), conclusions(6,9,12); oral communication(1,2,3) is extra
credit.
The Standards are supported by various forms of TECHNOLOGY, including:
1. Course webpage: A variety of information and resources is available on our course homepage (especially the Resources Page).
2. Lab Experiences with Data Analysis: The spreadsheet software package Excel will be available for you to perform computations and produce graphs and charts. This will enable you to analyze real-world data sets, not just artificially "nice" small ones that can be done by hand.
3. Writeups: In our lab room, Excel output can be readily pasted into a MSWord document, which can produce a self-contained writeup of your labs and projects.
4. Videos with On-location vignettes: The video series "Against
All Odds: Inside Statistics" is broadcast on PBS at regular times as
well as available for viewing in the VIDEO/FILM area (basement level) of
Michener Library. Browse
the descriptions of these videos and you will find one corresponding
to any major topic in our textbook.