MAT 120-01
Statistics

Semester/Year/Beginning and end dates of course:
Spring 2017
January 23 - May 12
Professor:
Office:
Office Hours:
Tuesdays and Thursdays 12:30 pm - 1:45 PM
Or by appointment
Telephone:
(413) 755-4679
Email:
[email protected]
Prerequisites
M Appropriate placement test score
Course Credits:
3
Department Chair
Jane Weyant
Chair Contact Information
[email protected]
(413) 565-1185

COURSE DESCRIPTION This is an introduction to the basic descriptive and inferential statistics for students from all disciplines. It emphasizes the development of statistical literacy and the use of computer for analyzing data. Topics include principles of experimental design; graphical and numerical methods for summarizing, describing, exploring and analyzing data; binomial and normal probability distributions; point and interval estimates for means and proportions; hypothesis testing; and correlation and regression.

STUDENT LEARNING OUTCOMES
After completion of this course the student will be able to:
Identify the key issues affecting the validity of surveys.
Obtain important understanding of data collection methods.
Understand the difference between descriptive and inferential statistics.
Be able to construct and analyze various types of frequency distributions.
Master the basic tools for measuring and describing different characteristics of a set of data.
Understand concepts of mean, median, midrange, and mode.
Calculate the mean, median, midrange, and mode using MiniTab/Excel and other tools.
Understand the concept of standard deviation.
Compute standard deviation using various tools.
Compute standard scores (z scores).
Use computer z scores to analyze given data
Learn how to calculate quartiles and percentiles
Predict how outliers can affect the mean and standard deviation of given data.
Learn the basic definitions and simple concepts of probability.
Be able to identify a random variable.
Know the difference between discrete and continuous random variables.
Calculate the expected value of discrete and continuous random variables.
Use the binomial probability formula to compute probabilities.
Use MiniTab/Excel to compute binomial probabilities.
Learn the difference between uniform and normal distributions.
Be able to identify a standard normal distribution.
Calculate the probabilities of standard and nonstandard normal distributions using table provided in text.
Understand the central limit theorem.
Be able to estimate a population proportion.
Find and interpret confidence intervals for the population mean and proportion.
Find the required sample size under various conditions and study guidelines.
Conduct hypothesis tests for the mean and proportion and possibly the difference of two means and proportions.
Find and interpret the p-value, identify the type 1 and type 2 errors.

REQUIRED COURSE MATERIAL

A new My Math Lab (MML) access code is required. (A hard copy of the textbook CANNOT be used for this course.) MML includes an online version of Elementary Statistics, 12th Edition by Mario Triola.
If you took t his course with the same textbook in the past year , YOU DO NOT HAVE TO BUY A NEW ACCESS CODE! You should be able to add this course without purchasing a new code.

MyMathLab Course ID Number: The course ID needed to register for the course in MyMathLab is Haddad97832.

METHODS OF INSTRUCTION/PROCEDURE

This class is a three-semester hour course. In addition to scheduled classes, tutorial assistance is available. Specific days, times, and places for this help will be announced. A typical class will consist of lectures, classroom discussion of selected topics, in-class problems and lecture on new topics. Student participation and discussion will be strongly encouraged.