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Contents
Welcome to Walsh College
General Information
Academic Calendar
Admission to Walsh College
Readmission to Walsh College
Financial Aid and Scholarships
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Walsh College Courses
ACC - Accounting
BL - Business Law
BTC - Business & Technology
BUS - Business
CE - Continuing Education Courses
COM - Communications
DCT - Doctoral
DIS - Dissertation
ECN - Economics
ENG - English
FIN - Finance
IDS - Interdisciplinary
IT - Information Technology
MDL - Moodle Orientation
MGT - Management
MKT - Marketing
MTH - Math
QM - Quantitative Methods
200 Level Courses
300 Level Courses
QM 301
400 Level Courses
500 Level Courses
600 Level Courses
RES - Research Methods
RSD - Residency
TAX - Taxation
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QM 301
BUSINESS ANALYTICS & PROBLEM SOLVING
Building upon the content of
QM 202
, this course focuses upon data interpretation through the use of inferential statistics. By the end of the course, each student will demonstrate the ability to select and use inferential statistical tools to analyze a variety of datasets from varying business-based application settings, and will justify, report, and interpret the results of such analyses. Students will apply these skills to critique and interpret research reports that are represented within business literature from various business settings. Students will also be introduced to quantitative methods involving differing probability distributions that require the use of less typical data analysis tools.
Credits
3
Prerequisite
MTH 300
and
QM 202
Distribution
QUANTITATIVE METHODS