STAT 201L XX
Elementary Statistics Lab
Instructor: Sample Instructor
Fall 20XX
Contact: Wall XXX X; 349-XXXX
Email: your email@coastal.edu
Office Hours: Office hours will be posted by instructor.
Email Response Time: During the week, the response time for students’ emails will be within 24
hours. During the weekend, the response to emails will be no later than the following Monday.
Required Materials: Understanding Statistics: Class activities for an introductory
statistics course by Pritchard, Jagannathan, and Bell, 1st edition.
Course Objective: The activities in this laboratory are designed to reinforce concepts
introduced during the STAT 201 lecture.
Co-requisite: STAT 201 Elementary Statistics
Attendance: You are expected to attend each lab meeting. Attendance will be recorded for each
lab meeting. If you are not present for the duration of the meeting, you will be marked
absent. The University attendance policy, as stated on page 49 of the 2014-2015 University
Catalog, will be followed.
Missed assessment policy: The student has the responsibility to stay informed of all
assignments and due dates. Only exceptions to this rule are University excused absences. The
instructor must be notified (each time) at least one day before the absence in order for it to be
excused.
Assignments: Each lab period one or several activities will be assigned. Everything that is
needed to complete the activities will be provided, unless otherwise noted. All assigned activities
are to be completed before leaving the lab session. Most activities will involve an assignment that
will be turned in before leaving the lab session. Lab assignments will be graded.
Course Grade: You will receive the same grade for the lab and the course. The graded
activities will count 5% of the overall grade.
Student Learning Outcomes: Student Learning through activities should include but not be
restricted to the following outcomes:
•
By the end of the course, students will be able to describe a given data set using
measures of center and dispersion.
•
By the end of the course, students will be able to decide when a data set follows the
Normal or Binomial distributions and perform calculations based on the those
distributions.
•
By the end of the course, students will be able to calculate the equation of the line of best
fit to a linear relationship between two variables and use that equation to predict future
data points.
•
By the end of the course, students will be able to explain the relationship between two
categorical variables and perform necessary calculations to support their explanation.
•
By the end of the course, students will be able to distinguish between observational
studies and experiments and also between the different sampling designs.
•
By the end of the course, students will be able to distinguish between the various
experimental designs and be able to select the best design for their purpose.
•
By the end of the course, students will be able to calculate and interpret various
confidence intervals.
•
By the end of the course, students will be able to perform tests of hypotheses, accurately
calculate evidence for or against the hypothesis being tested (via p-values), and explain
the conclusions in complete sentences in terms of the problem.
The instructor reserves the right to make changes to this syllabus during the semester.
Changes will be announced in class.