STAT 201L XX Elementary Statistics Lab Instructor: Sample Instructor Fall 20XX Contact: Wall XXX X; 349-XXXX Email: your [email protected] 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.