SlideShare a Scribd company logo
10
Most read
12
Most read
15
Most read
Introduction to IHStat software(requiredfor assignment 3)
IHStat is a free statistical package developed by the American Industrial Hygiene Association for evaluating occupational samplesThe program is a preprogramed Excel worksheet that:computes descriptive statisticsdetermines if the distributions are normal or log normally distributedcalculates associated confidence limitsIdeal for determining compliance with little workWhat is ihstat?
Normal distribution When data resembles a bell shape (i.e. equally clustered around the mean/average)Often occurs with noise data and/or physiological monitoring (ex. blood pressure, heart rate)Log Normal distribution When original data is skewed and does not resemble a bell curve Occurs frequently with air monitored sampling (e.g. particulates)Transforming the data (i.e. taking the natural logarithm of each sample) provides us with a normally distributed variableLognormal vs normal distributions
The remainder of this PowerPoint will walk you through how to use IHStatwith the use of screen shots.Before we can proceed you need to:Download and open IHStat from Moodle or from the AIHA website Ensure macros are enabled in ExcelNOTE: if you are unable to enable macros there is a macro free version available on the AIHA website; however, the layout and design is slightly different.How do I use Ihstat?
Opening page of ihstat programSTEP 2:Click button to enter programSTEP 1: Select language preference
How to enter exposure limit for comparisonsSTEP 3:Enter /change occupational exposure limit of hazard you are evaluating by typing in the new value.For example: chlorine has a TLV of 0.5 ppm.
How to clear dataSTEP 4:When you open IHSTAT there may be existing data in the sheet.Clear existing data to input new data by clicking on the eraser (circled).
How to Enter dataSTEP 5:Enter your dataCopy the data points from your Excel sheet you want to evaluate Data must be copied from one columnGo to IHStat program, click the first empty cell under the “Sample data” column and paste data (or enter by hand)When you paste your data the statistics/ graphics will be computedNOTE: Max 200 data points can be entered into programdescriptive statisticsStep 6Recording descriptive statisticsThis first box provides the descriptive statistics you will want to include into your reports such as the number of samples, mean, standard deviation, and geometric mean and standard deviation (i.e. mean of log transformed data) , etc.
You will also note they include the percent of samples above the OEL you indicated in Step 3evaluating datadistributionsStep 7:Determine the distribution of your dataThe second data box helps you determine if your data fits a normal (i.e. bell curve) or a lognormal distribution (i.e. skewed curve).This is important as the confidence limits used to determine compliance are computed differently.IHStat makes determining distributions easy.  They provide you with the W-test statistic, but also provide you with a simple /easy way to interpret the results:Yes/blue thumbs up  = fits distribution
No/red thumbs down = does not fit distributionIn this example we can see that the data fits a log normal distribution.
α levelNOTE:α = 0.05 is referring to the confidence levelα = 0.05 means we have a confidence level of 95%IHStat uses 95% confidence level for all tests
Choosing confidence limitsWhat do you do in cases where:Data fits both a normal and lognormal distributionIn this situation you can choose either option however, a normal distribution is easier to interpretData does not fit a normal or lognormal distributionIn this type of situation you are best using a nonparametric analysis method, which cannot be done in IHStatobtaining confidence limitsStep 8:Obtaining confidence limits (i.e. UCL, LCL)Now that you know which distribution your data follows you can select the confidence limits provided in either the:Lognormal parametric statistics boxUse this box if your data fits a lognormal distribution from Step 7
Confidence limits are calculated by Land’s Exact methodNormal parametric statistics boxUse this box if your data fits a normal distribution from Step 7
Confidence limits are calculated by                    t-statistics12
saving filesYou can save the program with the current data by clicking the save icon on the program sheet.NOTE: this will save the file to a default location and does not allow you to change the name of the file so you continually overwrite the existing data.When you are doing your assignment it is a good idea to save each analysis (i.e. each grouping) as a separate file so you don’t have to reenter data if you want to double check your numbers.  To save each analysis as it’s own file go into the file menu and select “save as”Imbedded notes/commentsPlease note that in some of the data result boxes there are small red triangles.  These indicate that there are comments associated with the test

More Related Content

PPTX
Basic Accident prevention and Occupational safety health ppt.pptx
PPTX
Defining kpi in terms of unsafe acts/conditions and near miss
PPTX
Respiratory Protection Training for Workers
PPTX
unsafe act unsafe condition
PPTX
Hazard Recognition
PPTX
Chemical disasters
PDF
Nt 16-permiso-de-trabajo
PPTX
Unit 9 hygiene calculations sampling issues compliance
Basic Accident prevention and Occupational safety health ppt.pptx
Defining kpi in terms of unsafe acts/conditions and near miss
Respiratory Protection Training for Workers
unsafe act unsafe condition
Hazard Recognition
Chemical disasters
Nt 16-permiso-de-trabajo
Unit 9 hygiene calculations sampling issues compliance

Viewers also liked (20)

PPTX
PPT
Industrial toxicology
PPT
Decision Trees & Bayes Theorem 2016
PPTX
Summarizing
PPT
Industrial Ventilation Airflow Losses In A System
PPTX
PPT
PPT
The one pageproposal-revisedfordl
PPT
The order of adjectives
PPT
Industrial Ventilation-Introduction
PPTX
Series of adjectives
PPTX
Five important elements of a short story
PPT
Series of adjectives
DOC
ENGLISH Grade 8 Q1 L1
PDF
English 113 reference
Industrial toxicology
Decision Trees & Bayes Theorem 2016
Summarizing
Industrial Ventilation Airflow Losses In A System
The one pageproposal-revisedfordl
The order of adjectives
Industrial Ventilation-Introduction
Series of adjectives
Five important elements of a short story
Series of adjectives
ENGLISH Grade 8 Q1 L1
English 113 reference
Ad

Similar to Unit 9 introduction to ih stat (20)

DOCX
PHStat Notes Using the PHStat Stack Data and .docx
PPTX
Descriptive Statistics
PPT
IntroductionSTATA.ppt
DOCX
1.MATH 221 Statistics for Decision MakingWeek 2 iLabName.docx
DOCX
De vry math 221 all ilabs latest 2016 november
PPTX
Chapter-1-section 2.1 Exploring data-Edition-5.pptx
PDF
Solution Manual for Introductory Statistics 9th by Mann
PPTX
(Manual spss)
PPT
Introduction to Stata
DOCX
De vry math 399 all ilabs latest 2016 november
PDF
Biology statistics made_simple_using_excel
DOCX
De vry math 399 ilabs & discussions latest 2016 november
DOCX
De vry math 399 ilabs & discussions latest 2016
PPTX
Statistics
PDF
Ex2 analysis 000
PPTX
3. parametric assumptions
PDF
Practical Business Statistics Sixth Edition Andrew Siegel
PPTX
Introduction
DOCX
De vry math221 all ilabs latest 2016 november
PPT
Stata Training_EEA.ppt
PHStat Notes Using the PHStat Stack Data and .docx
Descriptive Statistics
IntroductionSTATA.ppt
1.MATH 221 Statistics for Decision MakingWeek 2 iLabName.docx
De vry math 221 all ilabs latest 2016 november
Chapter-1-section 2.1 Exploring data-Edition-5.pptx
Solution Manual for Introductory Statistics 9th by Mann
(Manual spss)
Introduction to Stata
De vry math 399 all ilabs latest 2016 november
Biology statistics made_simple_using_excel
De vry math 399 ilabs & discussions latest 2016 november
De vry math 399 ilabs & discussions latest 2016
Statistics
Ex2 analysis 000
3. parametric assumptions
Practical Business Statistics Sixth Edition Andrew Siegel
Introduction
De vry math221 all ilabs latest 2016 november
Stata Training_EEA.ppt
Ad

More from University of Victoria - Distance Education Services (17)

Recently uploaded (20)

PDF
Empathic Computing: Creating Shared Understanding
PDF
MIND Revenue Release Quarter 2 2025 Press Release
PDF
Reach Out and Touch Someone: Haptics and Empathic Computing
PDF
Electronic commerce courselecture one. Pdf
PPTX
20250228 LYD VKU AI Blended-Learning.pptx
PDF
7 ChatGPT Prompts to Help You Define Your Ideal Customer Profile.pdf
PDF
cuic standard and advanced reporting.pdf
PPTX
SOPHOS-XG Firewall Administrator PPT.pptx
PDF
Build a system with the filesystem maintained by OSTree @ COSCUP 2025
PDF
Accuracy of neural networks in brain wave diagnosis of schizophrenia
PDF
Video forgery: An extensive analysis of inter-and intra-frame manipulation al...
PDF
Diabetes mellitus diagnosis method based random forest with bat algorithm
PDF
NewMind AI Weekly Chronicles - August'25-Week II
PDF
Encapsulation theory and applications.pdf
PDF
Optimiser vos workloads AI/ML sur Amazon EC2 et AWS Graviton
PPTX
Digital-Transformation-Roadmap-for-Companies.pptx
PDF
The Rise and Fall of 3GPP – Time for a Sabbatical?
PDF
Machine learning based COVID-19 study performance prediction
PPTX
Spectroscopy.pptx food analysis technology
PPTX
1. Introduction to Computer Programming.pptx
Empathic Computing: Creating Shared Understanding
MIND Revenue Release Quarter 2 2025 Press Release
Reach Out and Touch Someone: Haptics and Empathic Computing
Electronic commerce courselecture one. Pdf
20250228 LYD VKU AI Blended-Learning.pptx
7 ChatGPT Prompts to Help You Define Your Ideal Customer Profile.pdf
cuic standard and advanced reporting.pdf
SOPHOS-XG Firewall Administrator PPT.pptx
Build a system with the filesystem maintained by OSTree @ COSCUP 2025
Accuracy of neural networks in brain wave diagnosis of schizophrenia
Video forgery: An extensive analysis of inter-and intra-frame manipulation al...
Diabetes mellitus diagnosis method based random forest with bat algorithm
NewMind AI Weekly Chronicles - August'25-Week II
Encapsulation theory and applications.pdf
Optimiser vos workloads AI/ML sur Amazon EC2 et AWS Graviton
Digital-Transformation-Roadmap-for-Companies.pptx
The Rise and Fall of 3GPP – Time for a Sabbatical?
Machine learning based COVID-19 study performance prediction
Spectroscopy.pptx food analysis technology
1. Introduction to Computer Programming.pptx

Unit 9 introduction to ih stat

  • 1. Introduction to IHStat software(requiredfor assignment 3)
  • 2. IHStat is a free statistical package developed by the American Industrial Hygiene Association for evaluating occupational samplesThe program is a preprogramed Excel worksheet that:computes descriptive statisticsdetermines if the distributions are normal or log normally distributedcalculates associated confidence limitsIdeal for determining compliance with little workWhat is ihstat?
  • 3. Normal distribution When data resembles a bell shape (i.e. equally clustered around the mean/average)Often occurs with noise data and/or physiological monitoring (ex. blood pressure, heart rate)Log Normal distribution When original data is skewed and does not resemble a bell curve Occurs frequently with air monitored sampling (e.g. particulates)Transforming the data (i.e. taking the natural logarithm of each sample) provides us with a normally distributed variableLognormal vs normal distributions
  • 4. The remainder of this PowerPoint will walk you through how to use IHStatwith the use of screen shots.Before we can proceed you need to:Download and open IHStat from Moodle or from the AIHA website Ensure macros are enabled in ExcelNOTE: if you are unable to enable macros there is a macro free version available on the AIHA website; however, the layout and design is slightly different.How do I use Ihstat?
  • 5. Opening page of ihstat programSTEP 2:Click button to enter programSTEP 1: Select language preference
  • 6. How to enter exposure limit for comparisonsSTEP 3:Enter /change occupational exposure limit of hazard you are evaluating by typing in the new value.For example: chlorine has a TLV of 0.5 ppm.
  • 7. How to clear dataSTEP 4:When you open IHSTAT there may be existing data in the sheet.Clear existing data to input new data by clicking on the eraser (circled).
  • 8. How to Enter dataSTEP 5:Enter your dataCopy the data points from your Excel sheet you want to evaluate Data must be copied from one columnGo to IHStat program, click the first empty cell under the “Sample data” column and paste data (or enter by hand)When you paste your data the statistics/ graphics will be computedNOTE: Max 200 data points can be entered into programdescriptive statisticsStep 6Recording descriptive statisticsThis first box provides the descriptive statistics you will want to include into your reports such as the number of samples, mean, standard deviation, and geometric mean and standard deviation (i.e. mean of log transformed data) , etc.
  • 9. You will also note they include the percent of samples above the OEL you indicated in Step 3evaluating datadistributionsStep 7:Determine the distribution of your dataThe second data box helps you determine if your data fits a normal (i.e. bell curve) or a lognormal distribution (i.e. skewed curve).This is important as the confidence limits used to determine compliance are computed differently.IHStat makes determining distributions easy. They provide you with the W-test statistic, but also provide you with a simple /easy way to interpret the results:Yes/blue thumbs up = fits distribution
  • 10. No/red thumbs down = does not fit distributionIn this example we can see that the data fits a log normal distribution.
  • 11. α levelNOTE:α = 0.05 is referring to the confidence levelα = 0.05 means we have a confidence level of 95%IHStat uses 95% confidence level for all tests
  • 12. Choosing confidence limitsWhat do you do in cases where:Data fits both a normal and lognormal distributionIn this situation you can choose either option however, a normal distribution is easier to interpretData does not fit a normal or lognormal distributionIn this type of situation you are best using a nonparametric analysis method, which cannot be done in IHStatobtaining confidence limitsStep 8:Obtaining confidence limits (i.e. UCL, LCL)Now that you know which distribution your data follows you can select the confidence limits provided in either the:Lognormal parametric statistics boxUse this box if your data fits a lognormal distribution from Step 7
  • 13. Confidence limits are calculated by Land’s Exact methodNormal parametric statistics boxUse this box if your data fits a normal distribution from Step 7
  • 14. Confidence limits are calculated by t-statistics12
  • 15. saving filesYou can save the program with the current data by clicking the save icon on the program sheet.NOTE: this will save the file to a default location and does not allow you to change the name of the file so you continually overwrite the existing data.When you are doing your assignment it is a good idea to save each analysis (i.e. each grouping) as a separate file so you don’t have to reenter data if you want to double check your numbers. To save each analysis as it’s own file go into the file menu and select “save as”Imbedded notes/commentsPlease note that in some of the data result boxes there are small red triangles. These indicate that there are comments associated with the test
  • 16. To view comments hover over triangle and the comment will appear (as shown above)
  • 17. These comments are meant to provide you with information or descriptions of the statistic