# Course

Course Summary
Credit Type:
Course
ACE ID:
SAYA-0037
Organization's ID:
BUS204
Organization:
Location:
Online
Length:
40 hours (self-paced)
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Lower-Division Baccalaureate 3 Elementary Statistics, Introduction to Statistics, or Introduction to Business Statistics
Description

## Objective:

The course objective is to survey quantitative methods (QM), or the application of statistics in the workplace. Examines techniques for gathering, analyzing, and interpreting data in any number of fields - from anthropology to hedge fund management.

## Learning Outcomes:

• Define and apply the following terms: data sets, mean, median, mode, standard deviation, and variance
• Summarize and interpret data in a tabular format using frequency distributions and visually with histograms
• Define and apply the concept of a probability distribution, and explain the properties of different distributions
• Relate the central limit theorem to sample size and normal distribution
• Estimate intervals over which the population parameter could exist using sample data
• Identify the dependent and independent variables in the linear regression model
• Work with statistical data in a spreadsheet environment
• Explain the importance of statistics to business
• Explain the differences between quantitative and qualitative data, and identify examples of each type of data
• Differentiate between discrete and continuous probability distributions
• Define and apply the concept of a random variable, and differentiate the population from a sample
• Describe and identify the different sampling methods, including systematic, stratified random, cluster, convenience, panel, and quota sampling, and identify examples of each
• Use a point estimator from a sample to estimate the entire population
• Apply hypothesis testing for testing population parameters using one or two samples
• Plot a regression line, and explain how the regression coefficient shapes that line

## General Topics:

• An introduction to statistical analysis
• Counting, probability, and probability distributions
• The normal distribution
• Sampling and sampling distributions
• Estimation and hypothesis testing
• Correlation and regression
Instruction & Assessment

## Instructional Strategies:

• Classroom Exercise
• Computer Based Training
• Practical Exercises

• Examinations

## Minimum Passing Score:

70%
Supplemental Materials

(SAYA-0024)