BUTR 1033 - Data Analysis and Interpretation

Description
This is an introductory level course covering topics involving estimation of population and sample characteristics, research design and hypothesis testing, as well as measuring and predicting relationships. The course should enable the students to develop an understanding regarding the application and interpretation of basic data analysis techniques with an emphasis on statistical applications.

Pre-Requisite
Completion of CISQ 1103 AND MATH 2053 with a grade greater than or equal to a C.

3 Credit Hour(s)

Contact Hours
45 lecture/lab contact hours

3 Faculty Load Hour(s)

Semesters Offered
Fall, Spring, Summer

ACTS Equivalent
N/A

Grade Mode
A-F

Learning Outcomes
Students completing this course will:

Define statistic, parameter, and estimate.
Describe the difference between experimental and non-experimental designs.
Identify independent and dependent variables when given an applied problem.
Calculate and interpret an observed significance level from an Excel printout to compare to the significance level.
Interpret the results of a t-test performed in MS Excel.
Calculate a correlation coefficient from a given dataset.
Compute a regression equation from a given dataset.
Formulate a hypothesis test when given an application problem.
Choose between a one-tailed and two-tailed t-test, when given a hypothesis and a research design

General Education Outcomes Supported
Students can achieve mathematical literacy

Standard Practices
Topics list

Central Limit Theorem
Z-distribution
t-distribution
Confidence intervals
Experimental design
Conditions to infer causation
Hypothesis testing
Significance levels
Type I and Type II error
Two sample t-tests
Z tests
Scatter diagrams
Correlation
Simple linear regression
Multiple linear regression

Learning activities

A focus of the class is for students, given the results from computation, to accurately interpret those results and make an appropriate business decision.
The instructor will provide scenarios and situations (word problems) for students to solve problems with statistical tools and make correct decisions regarding which tools are needed for given scenarios.
The instructor will provide instructions and exercises on how to use Excel, and other specified computing tools, such as TI83 / 84 calculator, to supplement and aid in the analysis of different types of data.
The instructor will model how to make a correct determination of what type of data is needed to address a specified scenario or problem, and the method by which it will be collected.
This course requires additional work that may need to be completed out of class or in a virtual or on-campus lab.

Assessments

Grading guidelines

A-90-100%
B-80-89%
C-70-79%
D-60-69%
F-Below 60%
FP-Failure to Participate

Students can use a calculator, including a TI83 / TI84, for all assignments.

Students can use a 1 standard notebook size sheet of paper (cheat sheet) with formulas / notes written on front and back of paper for all assignments.