MANAGEMENT SCIENCE STATISTICS (BHIM 3303)

Term: 2021 - 2022 FD December-March

Faculty

Richard Andrew RiffeShow MyInfo popup for Richard Andrew Riffe
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Joe LintzShow MyInfo popup for Joe Lintz
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Shelye MIshlerShow MyInfo popup for Shelye MIshler
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Schedule

Tue-Thu, 12:00 AM - 12:00 PM (2/28/2022 - 3/27/2022) Location: ONLN ONLN ONLN

Description

This course introduces the basic healthcare statistics and analysis such as inpatient service days, average length of stay, occupancy rates, and mortality rates, etc. The primary focus of descriptive, causal, correlational, evaluation, and experimental statistics are also explored.

MANAGEMENT SCIENCE STATISTICS (BHIM 3303)

Term: 2021 - 2022 FD December-March

Faculty

Richard Andrew RiffeShow MyInfo popup for Richard Andrew Riffe
Email address is hidden, click here to email
 
Joe LintzShow MyInfo popup for Joe Lintz
Email address is hidden, click here to email
 
Shelye MIshlerShow MyInfo popup for Shelye MIshler
Email address is hidden, click here to email
 

Schedule

Tue-Thu, 12:00 AM - 12:00 PM (2/28/2022 - 3/27/2022) Location: ONLN ONLN ONLN

Description

This course introduces the basic healthcare statistics and analysis such as inpatient service days, average length of stay, occupancy rates, and mortality rates, etc. The primary focus of descriptive, causal, correlational, evaluation, and experimental statistics are also explored.

MANAGEMENT SCIENCE STATISTICS (BHIM 3303)

Term: 2021 - 2022 FD December-March

Faculty

Richard Andrew RiffeShow MyInfo popup for Richard Andrew Riffe
Email address is hidden, click here to email
 
Joe LintzShow MyInfo popup for Joe Lintz
Email address is hidden, click here to email
 
Shelye MIshlerShow MyInfo popup for Shelye MIshler
Email address is hidden, click here to email
 

Schedule

Tue-Thu, 12:00 AM - 12:00 PM (2/28/2022 - 3/27/2022) Location: ONLN ONLN ONLN

Description

This course introduces the basic healthcare statistics and analysis such as inpatient service days, average length of stay, occupancy rates, and mortality rates, etc. The primary focus of descriptive, causal, correlational, evaluation, and experimental statistics are also explored.