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minitab software v18  (Minitab Inc)

 
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    Structured Review

    Minitab Inc minitab software v18
    Bacterial cell density (Log 10 CFU·mL −1 ) versus measured Far-UVC 1-Log 10 ID for ( a ) E. coli , ( b ) E. faecium , ( c ) P. aeruginosa and ( d ) S. aureus . 1-Log 10 ID calculated by dividing the dose (mJ·cm −2 ) at which the greatest statistically significant inactivation was achieved prior to tailing by the corresponding mean inactivation (Log 10 CFU·mL −1 ) (based on the inactivation kinetics presented in ). Pearson correlation and p -values calculated using Minitab <t>(v18);</t> linear fit performed using Origin (v2019b).
    Minitab Software V18, supplied by Minitab Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/minitab+v18+software/minitab+software/pmc11357679-143-11-11
    Average 90 stars, based on 1 article reviews
    minitab software v18 - by Bioz Stars, 2026-10
    90/100 stars

    Images

    1) Product Images from "The Antibacterial Efficacy of Far-UVC Light: A Combined-Method Study Exploring the Effects of Experimental and Bacterial Variables on Dose–Response"

    Article Title: The Antibacterial Efficacy of Far-UVC Light: A Combined-Method Study Exploring the Effects of Experimental and Bacterial Variables on Dose–Response

    Journal: Pathogens

    doi: 10.3390/pathogens13080698

    Bacterial cell density (Log 10 CFU·mL −1 ) versus measured Far-UVC 1-Log 10 ID for ( a ) E. coli , ( b ) E. faecium , ( c ) P. aeruginosa and ( d ) S. aureus . 1-Log 10 ID calculated by dividing the dose (mJ·cm −2 ) at which the greatest statistically significant inactivation was achieved prior to tailing by the corresponding mean inactivation (Log 10 CFU·mL −1 ) (based on the inactivation kinetics presented in ). Pearson correlation and p -values calculated using Minitab (v18); linear fit performed using Origin (v2019b).
    Figure Legend Snippet: Bacterial cell density (Log 10 CFU·mL −1 ) versus measured Far-UVC 1-Log 10 ID for ( a ) E. coli , ( b ) E. faecium , ( c ) P. aeruginosa and ( d ) S. aureus . 1-Log 10 ID calculated by dividing the dose (mJ·cm −2 ) at which the greatest statistically significant inactivation was achieved prior to tailing by the corresponding mean inactivation (Log 10 CFU·mL −1 ) (based on the inactivation kinetics presented in ). Pearson correlation and p -values calculated using Minitab (v18); linear fit performed using Origin (v2019b).

    Techniques Used:

    Data describing the Pearson correlation between bacterial cell density and Far-UVC 1-Log 10 ID for all bacterial species for which three or more different cell density values were available in the collected systematised review data. All bacteria are in vegetative cell form. Calculations performed using Minitab (v18) software (Minitab LLC, State College, PA, USA). * denotes significant p -value ( p < 0.05).
    Figure Legend Snippet: Data describing the Pearson correlation between bacterial cell density and Far-UVC 1-Log 10 ID for all bacterial species for which three or more different cell density values were available in the collected systematised review data. All bacteria are in vegetative cell form. Calculations performed using Minitab (v18) software (Minitab LLC, State College, PA, USA). * denotes significant p -value ( p < 0.05).

    Techniques Used: Bacteria, Software

    Data describing the Pearson correlation between irradiance and Far-UVC 1-Log 10 ID for all bacterial species for which three or more irradiance values were available in the collected systematised review data. All bacteria are in vegetative cell form unless specified otherwise. Calculations were performed using Minitab (v18) software (Minitab LLC, State College, PA, USA). Significant Pearson Correlation did not result in any case ( p < 0.05).
    Figure Legend Snippet: Data describing the Pearson correlation between irradiance and Far-UVC 1-Log 10 ID for all bacterial species for which three or more irradiance values were available in the collected systematised review data. All bacteria are in vegetative cell form unless specified otherwise. Calculations were performed using Minitab (v18) software (Minitab LLC, State College, PA, USA). Significant Pearson Correlation did not result in any case ( p < 0.05).

    Techniques Used: Bacteria, Software

    Related Articles

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    Article Title: On the inaccuracies of dental radiometers.
    Article Snippet: Linear regression analysis (Minitab v18 software) was used to investigate the relationship between the power data determined by the BM II radiometer, the laboratory-grade power meters, and the GS integrating sphere assembly test method.

    Software:

    Article Title: Head impact kinematics and injury risks during E-scooter collisions against a curb
    Article Snippet: .. A factorial analysis of variance (ANOVA) was performed on Minitab v18 software (Minitab LLC, USA) to determine the effect of the studied parameters, with a significance level set at p < 0.05, on the outcome responses, i.e., impact velocities and accelerations, HIC and BrIC. ..

    Article Title: Performance analysis of autonomous UV disinfecting robot (UV bot) using Taguchi method
    Article Snippet: .. Taguchi analysis is carried out using Minitab v18 software which is commonly used in the field of research to validate or process the obtained information and predict the accuracy or data model. ..

    Article Title: Optimization of ultra-precision CBN turning of AISI D2 using hybrid GA-RSM and Taguchi-GRA statistic tools
    Article Snippet: .. In this study, regression mathematical equations were developed using experimental data and Minitab v18 software to account for the connection between the process variables' R a and F c . The presented mathematical equations may be used with any combination of machining parameters to approximate experimental findings for R a and F c by using variables with a prob > F below 0.05. ..

    Article Title: Detection of human Metapneumovirus infection in children under 18 years old hospitalized in Lima-Peru
    Article Snippet: .. The graphics were prepared with the OriginPro v8 software, and analyzed with the Minitab v18 software. ..

    Article Title: Readmission Risk Assessment Tool (RRAT) for Decreasing 30-Day Readmission Rates in Total Joint Arthroplasty (TJA) and Predicting Readmission
    Article Snippet: .. All statistical analyses were performed using MINITAB v18 software (State College, PA). ..

    Article Title: Numerical and experimental investigations on sandwich panels made with eco-friendly components under low-velocity impact
    Article Snippet: A low-velocity impact characterisation of a sustainable sandwich panel based on upcycled bottle caps as circular honeycomb is conducted.. The recycled core aims to develop an alternative route of reusing waste bottle caps disposed in landfills.. Ecological alternatives to skin (recycled PET foil) and adhesive (bio-polyurethane) are also compared with classic components (aluminium skin and epoxy polymer).



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    Bacterial cell density (Log 10 CFU·mL −1 ) versus measured Far-UVC 1-Log 10 ID for ( a ) E. coli , ( b ) E. faecium , ( c ) P. aeruginosa and ( d ) S. aureus . 1-Log 10 ID calculated by dividing the dose (mJ·cm −2 ) at which the greatest statistically significant inactivation was achieved prior to tailing by the corresponding mean inactivation (Log 10 CFU·mL −1 ) (based on the inactivation kinetics presented in ). Pearson correlation and p -values calculated using Minitab <t>(v18);</t> linear fit performed using Origin (v2019b).
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    Bacterial cell density (Log 10 CFU·mL −1 ) versus measured Far-UVC 1-Log 10 ID for ( a ) E. coli , ( b ) E. faecium , ( c ) P. aeruginosa and ( d ) S. aureus . 1-Log 10 ID calculated by dividing the dose (mJ·cm −2 ) at which the greatest statistically significant inactivation was achieved prior to tailing by the corresponding mean inactivation (Log 10 CFU·mL −1 ) (based on the inactivation kinetics presented in ). Pearson correlation and p -values calculated using Minitab <t>(v18);</t> linear fit performed using Origin (v2019b).
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    Image Search Results


    Bacterial cell density (Log 10 CFU·mL −1 ) versus measured Far-UVC 1-Log 10 ID for ( a ) E. coli , ( b ) E. faecium , ( c ) P. aeruginosa and ( d ) S. aureus . 1-Log 10 ID calculated by dividing the dose (mJ·cm −2 ) at which the greatest statistically significant inactivation was achieved prior to tailing by the corresponding mean inactivation (Log 10 CFU·mL −1 ) (based on the inactivation kinetics presented in ). Pearson correlation and p -values calculated using Minitab (v18); linear fit performed using Origin (v2019b).

    Journal: Pathogens

    Article Title: The Antibacterial Efficacy of Far-UVC Light: A Combined-Method Study Exploring the Effects of Experimental and Bacterial Variables on Dose–Response

    doi: 10.3390/pathogens13080698

    Figure Lengend Snippet: Bacterial cell density (Log 10 CFU·mL −1 ) versus measured Far-UVC 1-Log 10 ID for ( a ) E. coli , ( b ) E. faecium , ( c ) P. aeruginosa and ( d ) S. aureus . 1-Log 10 ID calculated by dividing the dose (mJ·cm −2 ) at which the greatest statistically significant inactivation was achieved prior to tailing by the corresponding mean inactivation (Log 10 CFU·mL −1 ) (based on the inactivation kinetics presented in ). Pearson correlation and p -values calculated using Minitab (v18); linear fit performed using Origin (v2019b).

    Article Snippet: All statistical calculations were performed at the 95% confidence level using Minitab (v18) software (Minitab LLC, State College, PA, USA).

    Techniques:

    Data describing the Pearson correlation between bacterial cell density and Far-UVC 1-Log 10 ID for all bacterial species for which three or more different cell density values were available in the collected systematised review data. All bacteria are in vegetative cell form. Calculations performed using Minitab (v18) software (Minitab LLC, State College, PA, USA). * denotes significant p -value ( p < 0.05).

    Journal: Pathogens

    Article Title: The Antibacterial Efficacy of Far-UVC Light: A Combined-Method Study Exploring the Effects of Experimental and Bacterial Variables on Dose–Response

    doi: 10.3390/pathogens13080698

    Figure Lengend Snippet: Data describing the Pearson correlation between bacterial cell density and Far-UVC 1-Log 10 ID for all bacterial species for which three or more different cell density values were available in the collected systematised review data. All bacteria are in vegetative cell form. Calculations performed using Minitab (v18) software (Minitab LLC, State College, PA, USA). * denotes significant p -value ( p < 0.05).

    Article Snippet: All statistical calculations were performed at the 95% confidence level using Minitab (v18) software (Minitab LLC, State College, PA, USA).

    Techniques: Bacteria, Software

    Data describing the Pearson correlation between irradiance and Far-UVC 1-Log 10 ID for all bacterial species for which three or more irradiance values were available in the collected systematised review data. All bacteria are in vegetative cell form unless specified otherwise. Calculations were performed using Minitab (v18) software (Minitab LLC, State College, PA, USA). Significant Pearson Correlation did not result in any case ( p < 0.05).

    Journal: Pathogens

    Article Title: The Antibacterial Efficacy of Far-UVC Light: A Combined-Method Study Exploring the Effects of Experimental and Bacterial Variables on Dose–Response

    doi: 10.3390/pathogens13080698

    Figure Lengend Snippet: Data describing the Pearson correlation between irradiance and Far-UVC 1-Log 10 ID for all bacterial species for which three or more irradiance values were available in the collected systematised review data. All bacteria are in vegetative cell form unless specified otherwise. Calculations were performed using Minitab (v18) software (Minitab LLC, State College, PA, USA). Significant Pearson Correlation did not result in any case ( p < 0.05).

    Article Snippet: All statistical calculations were performed at the 95% confidence level using Minitab (v18) software (Minitab LLC, State College, PA, USA).

    Techniques: Bacteria, Software