MT 251-ES: estart Statistics (Online) Syllabus Spring 2015 (CRN: 20739)

Similar documents
STA 225: Introductory Statistics (CT)

Probability and Statistics Curriculum Pacing Guide

Foothill College Summer 2016

Spring 2014 SYLLABUS Michigan State University STT 430: Probability and Statistics for Engineering

Class Numbers: & Personal Financial Management. Sections: RVCC & RVDC. Summer 2008 FIN Fully Online

Business Computer Applications CGS 1100 Course Syllabus. Course Title: Course / Prefix Number CGS Business Computer Applications

STA2023 Introduction to Statistics (Hybrid) Spring 2013

Office Hours: Mon & Fri 10:00-12:00. Course Description

SOUTHWEST COLLEGE Department of Mathematics

SOUTHERN MAINE COMMUNITY COLLEGE South Portland, Maine 04106

Math 96: Intermediate Algebra in Context

State University of New York at Buffalo INTRODUCTION TO STATISTICS PSC 408 Fall 2015 M,W,F 1-1:50 NSC 210

Instructor: Matthew Wickes Kilgore Office: ES 310

CS/SE 3341 Spring 2012

Houghton Mifflin Online Assessment System Walkthrough Guide

EDCI 699 Statistics: Content, Process, Application COURSE SYLLABUS: SPRING 2016

MGMT 479 (Hybrid) Strategic Management

Ryerson University Sociology SOC 483: Advanced Research and Statistics

Texas A&M University - Central Texas PSYK EDUCATIONAL PSYCHOLOGY INSTRUCTOR AND CONTACT INFORMATION

AST Introduction to Solar Systems Astronomy

Page 1 of 8 REQUIRED MATERIALS:

Accounting 312: Fundamentals of Managerial Accounting Syllabus Spring Brown

Connect Microbiology. Training Guide

Bittinger, M. L., Ellenbogen, D. J., & Johnson, B. L. (2012). Prealgebra (6th ed.). Boston, MA: Addison-Wesley.

Math 098 Intermediate Algebra Spring 2018

Beginning and Intermediate Algebra, by Elayn Martin-Gay, Second Custom Edition for Los Angeles Mission College. ISBN 13:

Algebra 1, Quarter 3, Unit 3.1. Line of Best Fit. Overview

Economics 201 Principles of Microeconomics Fall 2010 MWF 10:00 10:50am 160 Bryan Building

Preferences...3 Basic Calculator...5 Math/Graphing Tools...5 Help...6 Run System Check...6 Sign Out...8

Course Syllabus Advanced-Intermediate Grammar ESOL 0352

Office Hours: Day Time Location TR 12:00pm - 2:00pm Main Campus Carl DeSantis Building 5136

Introduction to WeBWorK for Students

AU MATH Calculus I 2017 Spring SYLLABUS

Green Belt Curriculum (This workshop can also be conducted on-site, subject to price change and number of participants)

MTH 141 Calculus 1 Syllabus Spring 2017

Class Meeting Time and Place: Section 3: MTWF10:00-10:50 TILT 221

MATH 108 Intermediate Algebra (online) 4 Credits Fall 2008

Texas A&M University - Central Texas PSYK PRINCIPLES OF RESEARCH FOR THE BEHAVIORAL SCIENCES. Professor: Elizabeth K.

SYLLABUS: RURAL SOCIOLOGY 1500 INTRODUCTION TO RURAL SOCIOLOGY SPRING 2017

Theory of Probability

Please read this entire syllabus, keep it as reference and is subject to change by the instructor.

Prepaid Access Code For Pearson Mylab

Introduction to the Practice of Statistics

Course Policies and Syllabus BUL3130 The Legal, Ethical, and Social Aspects of Business Syllabus Spring A 2017 ONLINE

San José State University Department of Marketing and Decision Sciences BUS 90-06/ Business Statistics Spring 2017 January 26 to May 16, 2017

CHEMISTRY 104 FALL Lecture 1: TR 9:30-10:45 a.m. in Chem 1351 Lecture 2: TR 1:00-2:15 p.m. in Chem 1361

S T A T 251 C o u r s e S y l l a b u s I n t r o d u c t i o n t o p r o b a b i l i t y

Instructor. Darlene Diaz. Office SCC-SC-124. Phone (714) Course Information

SAMPLE SYLLABUS. Master of Health Care Administration Academic Center 3rd Floor Des Moines, Iowa 50312

Spring 2015 IET4451 Systems Simulation Course Syllabus for Traditional, Hybrid, and Online Classes

INTERMEDIATE ALGEBRA Course Syllabus

University of Massachusetts Lowell Graduate School of Education Program Evaluation Spring Online

AP Statistics Summer Assignment 17-18

Dutchess Community College College Connection Program

BSM 2801, Sport Marketing Course Syllabus. Course Description. Course Textbook. Course Learning Outcomes. Credits.

OFFICE SUPPORT SPECIALIST Technical Diploma

SYLLABUS. EC 322 Intermediate Macroeconomics Fall 2012

An Introductory Blackboard (elearn) Guide For Parents

MBA 5652, Research Methods Course Syllabus. Course Description. Course Material(s) Course Learning Outcomes. Credits.

GIS 5049: GIS for Non Majors Department of Environmental Science, Policy and Geography University of South Florida St. Petersburg Spring 2011

SYLLABUS- ACCOUNTING 5250: Advanced Auditing (SPRING 2017)

Mcgraw Hill Financial Accounting Connect Promo Code

The University of Texas at Tyler College of Business and Technology Department of Management and Marketing SPRING 2015

Instructor: Khaled Kassem (Mr. K) Classroom: C Use the message tool within UNM LEARN, or

ACTL5103 Stochastic Modelling For Actuaries. Course Outline Semester 2, 2014

STANDARDIZED COURSE SYLLABUS

The Revised Math TEKS (Grades 9-12) with Supporting Documents

Syllabus ENGR 190 Introductory Calculus (QR)

MAT 122 Intermediate Algebra Syllabus Summer 2016

Getting Started Guide

HCI 440: Introduction to User-Centered Design Winter Instructor Ugochi Acholonu, Ph.D. College of Computing & Digital Media, DePaul University

Your School and You. Guide for Administrators

Texas A&M University-Central Texas CISK Comprehensive Networking C_SK Computer Networks Monday/Wednesday 5.

ACADEMIC POLICIES AND PROCEDURES

Course Goal This is the final course in the developmental mathematics sequence and its purpose is to prepare students for College Algebra.

Connect Mcgraw Hill Managerial Accounting Promo Code

Math 181, Calculus I

COURSE INFORMATION. Course Number SER 216. Course Title Software Enterprise II: Testing and Quality. Credits 3. Prerequisites SER 215

ECO 2013-Principles of Macroeconomics

Pearson Mymathlab Answer Key Math 110 Amu

PowerTeacher Gradebook User Guide PowerSchool Student Information System

MATH 1A: Calculus I Sec 01 Winter 2017 Room E31 MTWThF 8:30-9:20AM

DIGITAL GAMING AND SIMULATION Course Syllabus Advanced Game Programming GAME 2374

COURSE WEBSITE:

MGMT 5303 Corporate and Business Strategy Spring 2016

Introduction to the Revised Mathematics TEKS (2012) Module 1

Student User s Guide to the Project Integration Management Simulation. Based on the PMBOK Guide - 5 th edition

Syllabus Foundations of Finance Summer 2014 FINC-UB

TIMSS ADVANCED 2015 USER GUIDE FOR THE INTERNATIONAL DATABASE. Pierre Foy

BADM 641 (sec. 7D1) (on-line) Decision Analysis August 16 October 6, 2017 CRN: 83777

Introduction to Information System

Moodle Student User Guide

Course Syllabus. Alternatively, a student can schedule an appointment by .

ACCT 100 Introduction to Accounting Course Syllabus Course # on T Th 12:30 1:45 Spring, 2016: Debra L. Schmidt-Johnson, CPA

SY 6200 Behavioral Assessment, Analysis, and Intervention Spring 2016, 3 Credits

Science Olympiad Competition Model This! Event Guidelines

BIOL 2402 Anatomy & Physiology II Course Syllabus:

COMMUNICATION AND JOURNALISM Introduction to Communication Spring 2010

Scottsdale Community College Spring 2016 CIS190 Intro to LANs CIS105 or permission of Instructor

BUS 4040, Communication Skills for Leaders Course Syllabus. Course Description. Course Textbook. Course Learning Outcomes. Credits. Academic Integrity

Transcription:

Contact Information for Professor LaVoice MT 251-ES: estart Statistics (Online) Syllabus Spring 2015 (CRN: 20739) Phone: (603) 271-6848 Ext. 4231 E-mail: vlavoice@ccsnh.edu (preferred) Office: Little Hall, Rm. 203 NOTE: When contacting the instructor by e-mail, please put the course number (MT 251-ES) in the Subject line. Course Hours and Dates This course is conducted completely online. Please note the following dates: MyStatLab Enrollment Start: January 13 Course Start Date: January 20 MyStatLab Enrollment End: February 2 Course End Date: May 8 (Final Grade viewable until May 22) All course work must be completed by May 8, 2015. Course Description Topics will include: sampling methods; basic measurements of central tendency and variability; frequency distributions; probability; binomial, normal, Student t, Poisson, and Chi-Square distributions; sampling distributions; estimation of parameters; hypothesis testing; simple correlation and linear regression analysis, prediction intervals, and multiple regression. (Prerequisite: Passing grade in MT 124, College Algebra) This course will consist of PowerPoint lectures (prepared by the instructor), video lectures and animated lessons (prepared by the textbook publisher), and online homework and exams. Course Format This course will consist of PowerPoint and video lectures, e-mail discussions, homework, and exams. Students are expected to work each week on homework assignments as an indication of attendance. See Attendance Policy and Missed Work. Course Materials REQUIRED: TI 84 (+) graphing calculator REQUIRED: Student Access Kit for MyStatLab The Student Access Kit contains an access code that you need to enroll in the MyStatLab portion of the course. Enrollment and access to MyStatLab is made through the MyStatLab button in the NHTI Blackboard course. Students are expected to enroll in MyStatLab via the NHTI Blackboard course with permanent (not temporary) access by no later than February 3, 2015 (which is the last day to drop the course for a full refund). Students who fail to meet this deadline will be dropped from the course with an AF grade. The very first time a student clicks on the MyStatLab button in the NHTI Blackboard course, a prompt to redeem an access code may be displayed. The access code may be purchased at the NHTI Bookstore or can be purchased directly within MyStatLab using a credit card or PayPal. Students are responsible for contacting Pearson Technical Support to resolve any problems with creating or logging in to their MyStatLab accounts. Students may also visit the NHTI Math Lab, located in the Library building, for assistance. Temporary access for 14 days is available for those students awaiting financial aid. Be sure to follow the instructions for making a temporary account permanent on or before the enrollment deadline. Maintaining access to the MyStatLab web site is the student s responsibility. If a student enrolls using temporary access, the student is expected to convert to permanent access before the temporary access expires. Assignments from duplicate accounts cannot be merged and, therefore, will not be accepted! V. LaVoice, Spring 2015 Page 1 of 7

Optional Materials Elementary Statistics 12/e by M. Triola, 2014 (ISBN: 978-0-321-83696-0) The textbook is available online in both PDF and HTML formats, so students have the option of reading and interacting with the text in an online format rather than purchasing and reading a hardcover textbook. However, a hardcover book is highly recommended because you are allowed to use the book as a reference while taking tests. If you decide to purchase a textbook, be sure to buy a new copy that includes the MyStatLab Student Access Kit. Programs for the TI Calculator To download these programs and obtain the TIConnect software needed to connect your calculator to your laptop, see TI Programs in the NHTI Blackboard course S2INT (and ZZINEWT) S2TEST These highly recommended programs will significantly reduce the time and effort required to complete homework and test problems. S2INT, used in Chapter 7, vastly simplifies the process for calculating a confidence interval for a population variance or standard deviation. (The ZZINEWT program is a subroutine used by S2INT.) S2TEST, used in Chapter 8, calculates the test statistic and P-value for a hypothesis test concerning a claim about a population variance or standard deviation. INVT Although the TI-83(+) calculator is not recommended for this course, in recognition of the fact that some students will want to use this model, the INVT program is made available for finding critical t values (used in Chapters 7, 8, and 10). On TI-84 models, this capability is available as a built-in command, so the program is not needed. Recommended Sequence for Study To properly prepare for tests, the student should follow this recommended sequence for study: 1) Start with the Course Schedule on page 4 of this syllabus to determine what to study and when the test is due. 2) Read the textbook section for the topic you want to study. (The online textbook is available by expanding the Chapter Contents. The HTML ebook is an alternate form of the book that can be read online without the Adobe Reader.) NOTE: If you read the online textbook, you will have access to animated lessons, example videos, and You Try It problems to help you assess your learning as you go. 3) Watch the section video to learn how to solve sample problems. These videos are available through the online textbook or by searching the Multimedia Library. 4) View the PowerPoint lecture posted in the Lectures area on MyStatLab. These lectures were produced by your instructor. They summarize important concepts from each section and will often show calculator-based solutions not given in the textbook or in the publisher s version of the slides. 5) Try the homework problems for the section you just studied. Here are some suggested things to try if you get stuck: Check the Calculator Tips area to see if there is a handout that deals with the topic. Scan the Selected Solutions area to see if a similar problem has been solved by your instructor. These solutions demonstrate how to use the calculator to save time and effort. Click the Ask My Instructor button in the panel on the right of the homework window. An email message containing a copy of the problem you are working on and your question will be sent to your instructor who will then respond via email. Look up the solution to a similar problem in the Student Solutions Manual, which is available as the first item under Chapter Contents. V. LaVoice, Spring 2015 Page 2 of 7

Attendance Policy and Missed Work Attendance is indicated by the student s activity in the MyStatLab web site, which automatically tracks the time spent on each assignment and test. A strong correlation exists between a student s final grade in the course and the amount of hours the student spends on course work. In other words, if you are willing to make a good effort you can achieve a good grade (and vice versa). A student who has not completed any assignments for any consecutive two-week period without contacting the instructor is subject to termination from the course with a grade of AF. All course work must be completed by Friday, May 8, 2015. Online Tutoring Service Students have two sources for online tutoring services: The Pearson Tutor Center provides support for Addison-Wesley and Prentice Hall mathematics and statistics content and is staffed by college-level mathematics instructors who can help you with what you're learning. As a MyStatLab student, you can register for the Pearson Tutor Center after one free trial session using either of the following methods: Visit the Tutor Center's registration page to sign up for tutoring. When asked for a registration number, simply provide your MyStatLab course ID or student access code. Call 1-800-877-3016 (5:00 PM - 12:00 AM EST, Sun-Thurs) NOTE: There is a fee for using the Pearson Tutor Center after the initial trial session. Smarthinking is an online tutoring service available to you 24 hours a day, 7 days a week. You can obtain help by chatting with a tutor or by e-mail. Access to Smarthinking is provided through the NHTI Blackboard website: 1) Log into the NHTI Blackboard (not MyStatLab). 2) Click Tools in the navigation panel. 3) Click the link for Smarthinking on the Tools page. To obtain support and instructions for Smarthinking use, use this link: http://www.smarthinking.com/static/customersupport/usersguidefaq/ Student E-mail To communicate with individual students or with the class as a whole, the instructor will use the CCSNH Student E-mail system. Students are expected to maintain an active registration in MyStatLab using a valid CCSNH Student E-mail address. Students are expected to regularly check their CCSNH Student E-mail account for messages from the instructor. The instructor will also occasionally use the Email feature within MyStatLab; these messages will be sent to the e-mail address contained in the student s Pearson account profile. Homework All homework assignments for this course are to be completed online via MyStatLab. At the start of the session, all homework assignments are available to students. No limits are placed on the number of attempts or time to complete problems. The assignments are due on the same day as the corresponding chapter test. See the course schedule on page 5 for homework and test due dates. Students are able to continue working on past-due homework assignments, but late problems receive a penalty of 50%. After each test, unworked homework assignments (those marked Past Due) will receive a score of 0 to more accurately reflect academic standing. (Otherwise, unworked assignments are not included in the homework score calculation.) V. LaVoice, Spring 2015 Page 3 of 7

Tests Assessments include four tests and a comprehensive final exam. Chapter tests have a 3-hour time limit. The final exam has a 4-hour time limit. The Course Schedule on page 5 shows the due dates for tests. Students are expected to take each test on or before the due date. To permit the student as much flexibility as possible, each test may be taken at the student s convenience within its scheduled fourday period. To suspend activity on a test, click the in the upper right corner of the browser window containing the test questions. The test should remain accessible after being suspended as long as the test has not been submitted. Any test not completed by the due date receives a score of 0. A period of one week is allotted for study prior to the final exam. Students can use this time period to work on any incomplete homework assignments in an attempt to improve the homework score while simultaneously reviewing for the final exam. Grading Policy Grades will be computed according to the following weighting scheme, and maintained on MyStatLab throughout the semester. Students should periodically review their current grades and report any discrepancies to the instructor as soon as possible. Weighting Scheme Online homework 20% Online tests 60% Online final exam 20% Mid-term and final grades are determined according to the following chart. An academic warning is sent to any student with a grade of C or below at the midterm. A 93-100 B+ 87-89 C+ 77-79 D+ 67-69 F < 60 A- 90-92 B 83-86 C 73-76 D 63-66 B- 80-82 C- 70-72 D- 60-62 Academic Honesty Honesty is expected of all students, as discussed in the Academic Affairs Notices (posted under Start Here & Syllabus in the NHTI Blackboard course). Academic honesty is taken very seriously by the faculty and administration at NHTI. Penalties for infractions can range from a 0 score to dismissal from the college. For further clarification, see the Student Handbook. Services See the Academic Affairs Notices (posted under Start Here & Syllabus in the NHTI Blackboard course) for a description of services available to students through various college offices and departments. Students are expected to review these notices and contact the instructor or Math Department Head with any questions or concerns. V. LaVoice, Spring 2015 Page 4 of 7

MT 251-ES Course Schedule Please print this page and keep it in a prominent place as a reminder of when assignments are due. The first section in each chapter is called Review and Preview; although these sections have no homework assigned, the student is expected to read and comprehend the material presented in these sections. All homework assignments are available at the start of the semester. The Due date is the date by which all specified sections of homework for the corresponding test must be completed to avoid a late penalty. The score for individual problems completed after the due date is reduced by 25%. Each test will be made available four days in advance of its Due date. Tests have a 1.5-hour (90 min.) time limit. The final exam will be made available seven days in advance of its Due date. The final exam has a 3-hour (180 min.) time limit. Immediately following each due date, any homework assignment or test marked Past Due receives a score of 0. Topics Sections Available Due Chapter 1: Statistical and Critical Thinking; Types of Data; Collecting Sample Data Chapter 2: Frequency Distributions; Histograms; Graphs That Enlighten and Graphs That Deceive Chapter 3: Measures of Center; Measures of Variation; Measures of Relative Standing and Boxplots 1.2 1.4 2.2 2.4 3.2 3.4 Feb. 10 Test 1: Chapters 1, 2, and 3 Feb. 7 Chapter 4: Basic Concepts of Probability; Addition Rule; Multiplication Rule; Complements and Conditional Probability Chapter 5: Probability Distributions; Binomial Probability Distributions; Parameters for Binomial Distributions; Poisson Distribution 4.2 4.5 5.2 5.5 Mar. 8 Test 2: Chapters 4 and 5 Mar. 5 Chapter 6: Standard Normal Distribution; Applications of Normal Distributions; Sample Distributions and Estimators; Central Limit Theorem; Assessing Normality Chapter 7: Estimating a Population Proportion; Estimating a Population Mean; Estimating a Population Standard Deviation or Variance 6.2 6.6 7.2 7.4 Apr. 5 Test 3: Chapters 6 and 7 Apr. 2 Chapter 8: Basics of Hypothesis Testing; Testing a Claim About a Proportion; Testing a Claim About a Mean; Testing a Claim About a Standard 8.2 8.5 Deviation or Variance Chapter 10: Correlation; Regression; Prediction Intervals and Variation; 10.2 10.5 Multiple Regression Test 4: Chapters 8 and 10 Apr. 28 May 1 FINAL EXAM ALL May 1 May 8 NOTE: The final exam may be taken any time between May 1 and May 8. Extra time is allotted for semester review and study prior to taking the final exam. Students can also use this time period to work on any incomplete homework assignments in an attempt to improve the homework score while simultaneously reviewing for the final exam. V. LaVoice, Spring 2015 Page 5 of 7

PERFORMANCE OBJECTIVES for MT 251 Statistics Upon successful completion of this course the student will be able to: I. Introduction to Statistics 1. Use statistical thinking. 2. Understand and identify types of data. 3. Use critical thinking to interpret statistical reports. 4. Understand and identify various methods for collecting data. 5. Analyze sample data and understand context, source, and sampling method. 6. Describe the difference between statistical significance and practical significance. 7. Determine the basic statistical calculations that are appropriate for a data set. 8. Describe sound sampling methods and good design experiments. II. III. IV. Summarizing and Graphing Data 1. Identify and create frequency distributions. 2. Identify and create histograms. 3. Identify and create other types of statistical graphs. 4. Use critical thinking when evaluating scaled graphs. Statistics for Describing, Exploring, and Comparing Data 1. Identify and compute measures of center. 2. Determine the effect of outliers on measures of center. 3. Identify and compute measures of variation. 4. Identify and compute measures of relative standing. 5. Create and interpret boxplots. Probability 1. Understand basic concepts of probability. 2. Understand and use the addition rule to compute probability. 3. Understand and use the multiplication rule to compute probability. 4. Understand and use the complement to compute probability. 5. Understand and use conditional probability. V. Discrete Probability Distributions 1. Identify a random variable. 2. Generate and interpret a binomial probability distribution. 3. Compute the mean, variance, and standard deviation for a binomial distribution 4. Generate, interpret, and find probability values for a Poisson probability distribution. VI. VII. Normal Probability Distributions 1. Identify and interpret the standard normal distribution. 2. Use a normal distribution to compute probability. 3. Understand sampling distributions and estimators. 4. Understand the Central Limit Theorem. 5. Assess normality and construct a normal quantile plot. Estimates and Sample Sizes 1. Estimate a population proportion. 2. Estimate a population mean. 3. Understand student t distributions. 4. Estimate a population variance (chi-square distribution). V. LaVoice, Spring 2015 Page 6 of 7

VIII. IX. Hypothesis Testing 1. Understand the basic concepts of hypothesis testing. 2. Test a claim about a proportion. 3. Test a claim about a mean. 4. Test a claim about variation. Correlation and Regression 1. Understand and interpret correlation. 2. Understand and interpret regression. 3. Understand and compute prediction intervals. 4. Understand and interpret multiple regression. V. LaVoice, Spring 2015 Page 7 of 7