Don't be one of them who are still not able to differentiate between Excel vs Minitab. Here in this PDF, we have provided the best every comparison between Excel vs Minitab.
This document discusses blocking and confounding in 2k factorial designs. It explains that blocking is used to reduce noise in experiments, and confounding involves assigning treatments to experimental units in a way that balances out systematic errors. The document provides examples of chemical yield, filtration rate, and etching process experiments to illustrate 2k factorial designs with different numbers of blocks and how confounding works. It demonstrates randomization techniques and shows experimental design layouts. The overall purpose is to explain how to design experiments with blocks and use confounding to make comparisons between treatment combinations more reliable.
The reduced model is better than the full model based on the following criteria:
1. The reduced model has a higher R-squared and adjusted R-squared value indicating it fits the data better.
2. The predicted R-squared of the reduced model is closer to the adjusted R-squared indicating it has better predictive power.
3. The PRESS value which indicates prediction accuracy is lower for the reduced model.
4. The lack of fit F-value is higher (better) for the reduced model indicating it fits the data as well as the full quadratic model without the extra terms.
Therefore, the reduced model is more statistically significant and has better predictive ability compared to the full quadratic model based on these
Pharmacovigilance planning is a systematic approach to ensuring the safety of pharmaceutical products, including drugs and medical devices, once they are approved and available in the market. It involves creating strategies, processes, and systems to monitor, detect, assess, and prevent adverse effects or other drug-related problems throughout the product's lifecycle. The ultimate goal of pharmacovigilance planning is to protect patient safety and public health by minimizing risks associated with the use of medical products.
This document discusses the calibration of various analytical instruments used in pharmaceutical analysis. It begins with an introduction to calibration and the need for calibrating instruments. It then provides details on calibrating UV-Vis spectrophotometers, IR spectrophotometers, spectrofluorimeters, HPTLC, and gas chromatography. For each instrument, it describes the parameters checked during calibration such as wavelength accuracy, resolution, photometric accuracy, linearity, and acceptance criteria. The document aims to explain the calibration process for key analytical tools to ensure accurate measurements.
The document outlines the key steps in designing a research methodology, including formulating the research problem, conducting an extensive literature review, developing testable hypotheses, preparing the research design and sample, collecting and analyzing data, testing hypotheses, and preparing a final report. The goal is to systematically answer the research question by developing an experimental process to find the best solution under different conditions.
Bioequivalence studies : A statistical approach through "R"Lavkush Upadhyay
This document discusses bioequivalence and how it is assessed using statistical methods in R. It defines bioequivalence as the comparison of bioavailability between two formulations of the same active ingredient. Key points:
- Bioequivalence studies compare pharmacokinetic measures like AUC and Cmax between test and reference drugs.
- A common crossover study design involves each subject receiving both drugs on different occasions.
- Data are analyzed using ANOVA to separate out variance components and determine equivalence.
- The FDA typically uses a 80-125% range for the 90% CI of the ratio of means on log-transformed AUC and Cmax data to determine equivalence.
- An example is shown of constructing the 90
The document discusses the use of technology for field data capture and compilation in agricultural censuses. It provides an overview of computer assisted personal interview (CAPI) software, describing advantages like easier survey management and higher quality data, as well as disadvantages like high upfront costs and reliance on connectivity. Examples are given of countries that have used CAPI and GPS technologies successfully in recent agricultural censuses. Specific CAPI products like Survey Solutions are profiled, highlighting features like integrated survey design and management tools. Country experiences using these technologies, such as Tanzania and Mozambique, are also summarized.
Minitab is a statistics package developed at the Pennsylvania State University by researchers Barbara F. Ryan, Thomas A. Ryan, Jr., and Brian L. Joiner in 1972.
It began as a light version of OMNITAB 80, a statistical analysis program by NIST.
Statistical analysis software such as Minitab automates calculations and the creation of graphs, allowing the user to focus more on the analysis of data and the interpretation of results.
It is compatible with other Minitab, LLC software.
This document discusses blocking and confounding in 2k factorial designs. It explains that blocking is used to reduce noise in experiments, and confounding involves assigning treatments to experimental units in a way that balances out systematic errors. The document provides examples of chemical yield, filtration rate, and etching process experiments to illustrate 2k factorial designs with different numbers of blocks and how confounding works. It demonstrates randomization techniques and shows experimental design layouts. The overall purpose is to explain how to design experiments with blocks and use confounding to make comparisons between treatment combinations more reliable.
The reduced model is better than the full model based on the following criteria:
1. The reduced model has a higher R-squared and adjusted R-squared value indicating it fits the data better.
2. The predicted R-squared of the reduced model is closer to the adjusted R-squared indicating it has better predictive power.
3. The PRESS value which indicates prediction accuracy is lower for the reduced model.
4. The lack of fit F-value is higher (better) for the reduced model indicating it fits the data as well as the full quadratic model without the extra terms.
Therefore, the reduced model is more statistically significant and has better predictive ability compared to the full quadratic model based on these
Pharmacovigilance planning is a systematic approach to ensuring the safety of pharmaceutical products, including drugs and medical devices, once they are approved and available in the market. It involves creating strategies, processes, and systems to monitor, detect, assess, and prevent adverse effects or other drug-related problems throughout the product's lifecycle. The ultimate goal of pharmacovigilance planning is to protect patient safety and public health by minimizing risks associated with the use of medical products.
This document discusses the calibration of various analytical instruments used in pharmaceutical analysis. It begins with an introduction to calibration and the need for calibrating instruments. It then provides details on calibrating UV-Vis spectrophotometers, IR spectrophotometers, spectrofluorimeters, HPTLC, and gas chromatography. For each instrument, it describes the parameters checked during calibration such as wavelength accuracy, resolution, photometric accuracy, linearity, and acceptance criteria. The document aims to explain the calibration process for key analytical tools to ensure accurate measurements.
The document outlines the key steps in designing a research methodology, including formulating the research problem, conducting an extensive literature review, developing testable hypotheses, preparing the research design and sample, collecting and analyzing data, testing hypotheses, and preparing a final report. The goal is to systematically answer the research question by developing an experimental process to find the best solution under different conditions.
Bioequivalence studies : A statistical approach through "R"Lavkush Upadhyay
This document discusses bioequivalence and how it is assessed using statistical methods in R. It defines bioequivalence as the comparison of bioavailability between two formulations of the same active ingredient. Key points:
- Bioequivalence studies compare pharmacokinetic measures like AUC and Cmax between test and reference drugs.
- A common crossover study design involves each subject receiving both drugs on different occasions.
- Data are analyzed using ANOVA to separate out variance components and determine equivalence.
- The FDA typically uses a 80-125% range for the 90% CI of the ratio of means on log-transformed AUC and Cmax data to determine equivalence.
- An example is shown of constructing the 90
The document discusses the use of technology for field data capture and compilation in agricultural censuses. It provides an overview of computer assisted personal interview (CAPI) software, describing advantages like easier survey management and higher quality data, as well as disadvantages like high upfront costs and reliance on connectivity. Examples are given of countries that have used CAPI and GPS technologies successfully in recent agricultural censuses. Specific CAPI products like Survey Solutions are profiled, highlighting features like integrated survey design and management tools. Country experiences using these technologies, such as Tanzania and Mozambique, are also summarized.
Minitab is a statistics package developed at the Pennsylvania State University by researchers Barbara F. Ryan, Thomas A. Ryan, Jr., and Brian L. Joiner in 1972.
It began as a light version of OMNITAB 80, a statistical analysis program by NIST.
Statistical analysis software such as Minitab automates calculations and the creation of graphs, allowing the user to focus more on the analysis of data and the interpretation of results.
It is compatible with other Minitab, LLC software.
The document discusses pharmaceutical marketing practices in India and the development of a Uniform Code of Pharmaceutical Marketing Practices (UCPMP). It notes that while the UCPMP aims to standardize ethical practices, some remain skeptical of its effectiveness without strict enforcement. Concerns have been raised about the influence of pharmaceutical company promotions on doctor prescribing habits. The UCPMP framework outlines principles for ethical product promotion, prohibiting gifts to influence prescribing, and requiring transparency around expenditures.
Artificial Intelligence in Pharma - Where it MattersDaniel Faggella
This slide deck is for a presentation for a room of French pharmaceutical executives at the Paris Region Enterprises offices in San Francisco. The presentation draws on some of our pharma coverage from TechEmergence over the last year, including:
1) https://www.techemergence.com/ai-in-pharma-and-biomedicine/
2) https://www.techemergence.com/machine-learning-in-pharma-medicine/
Analysis of elemental impurities in APIDr. Amsavel A
The document discusses guidelines for controlling elemental impurities in active pharmaceutical ingredients (APIs) according to new regulatory requirements. It provides an overview of:
1) Background guidelines from various regulatory agencies on limiting elemental impurities.
2) Reasons for the new requirements to replace heavy metal testing, including difficulties with reproducibility and safety of current methods.
3) Classification of elemental impurities based on toxicity and permissible intake limits set by the ICH.
It also outlines procedures for method development, validation, and implementation of elemental impurity testing and control as defined in USP general chapters 232 and 233.
Calibration of analytical instruments is important to ensure they are accurate and precise. It involves comparing an instrument's measurements to a reference standard to determine any adjustments needed. Regular calibration helps verify that instruments are suitable for their intended purposes in pharmaceutical analysis. It is necessary to comply with quality standards and regulations. The calibration process involves using traceable standards and documented procedures to evaluate instruments and certify their performance is within specified tolerance limits. Maintaining calibration records provides a history of each instrument's accuracy over time.
This document discusses elemental impurities in pharmaceutical products. It defines elemental impurities as traces of metals that can be introduced during manufacturing from sources like catalysts, equipment, or packaging materials. It identifies several potential sources of elemental impurities and analytical procedures that can be used to detect specific impurities. These include testing for impurities introduced during synthesis, from equipment, excipients, or container leaching. The document also describes CHNS elemental analyzers which can rapidly determine carbon, hydrogen, nitrogen and sulfur content and are widely used in applications like pharmaceuticals, chemicals and food analysis.
Social and preventive Pharmacy UNIT 4.pptxManojKumbhare2
The document discusses India's Reproductive, Maternal, Newborn, Child and Adolescent Health framework and related programs and initiatives. It aims to provide continuum of care across life stages with a focus on reducing preventable maternal and newborn deaths. Key programs mentioned include SUMAN (for quality maternal and newborn healthcare), Maternal Death Surveillance and Response, and the Reproductive and Child Health Portal for tracking pregnant women and children. The National Family Planning Program and Mission Pariwar Vikas initiative aim to increase access to family planning services and choices. The National Tobacco Control Program also aims to reduce tobacco use through awareness, enforcement of laws, and cessation facilities.
This case study based in hip implant which was done by johnson and johnson company ,controversy on hip implant, compensation, adverse effect, and many more
1. A statistical hypothesis represents the mathematical relationship between two or more population parameters. It can be directional, specifying the exact relationship, or nondirectional, anticipating a difference but not specifying the direction.
2. The null hypothesis predicts no difference between population parameters, while the alternative or experimental hypothesis predicts a difference. Through statistical testing, we can either reject the null hypothesis in favor of the alternative, or accept the null hypothesis.
3. Significance testing uses statistical tests and probabilities to determine if sample data can be used to reject the null hypothesis involving population parameters. If the difference is unlikely to have occurred by chance when the null hypothesis is true, it is considered statistically significant.
Introduction,Definations,Types of Bioequivalence studies,Invitro,Invivo studies,Biowaivers,Study protocol,Types of study designs,statistical procedures,conclusion
Drug development involves basic research to identify drug targets and applied research to develop treatments. Preclinical trials test drug safety and efficacy in animals prior to human trials. They involve pharmacokinetic, pharmacodynamic and toxicology studies in two animal species. This provides data on effective and toxic doses, screens the drug's activity, and identifies formulation. Preclinical trials help determine if a drug warrants further development or should be terminated. They aim to predict potential human adverse effects and provide guidance for initial human clinical trials. However, extrapolating animal data to humans has limitations due to interspecies differences.
This document discusses validation parameters for analytical methods according to FDA, USP, and ICH guidelines. It outlines key parameters such as specificity, linearity, accuracy, precision, detection and quantitation limits, ruggedness, and robustness. Precision is discussed as having three levels - repeatability, intermediate precision, and reproducibility. The document also provides details on validation parameters like range, system suitability testing, and acceptance criteria for assays.
Research Methodology (M. Pharm, IIIrd Sem.)_UNIT_IV_CPCSEA Guidelines for Lab...RAHUL PAL
CPCSEA guidelines for laboratory animal facility: Goals, veterinary care, quarantine,
surveillance, diagnosis, treatment and control of disease, personal
hygiene, location of animal facilities to laboratories, anesthesia, euthanasia, physical facilities, environment, animal husbandry, record keeping, SOPs, personnel and
training, transport of lab animals.
This document provides an overview of strategic marketing and planning to improve pharmaceutical marketing in Bangladesh. It discusses the background and history of the pharmaceutical sector in Bangladesh, including key milestones like the National Drug Policy of 1982. It analyzes the size and growth of the domestic pharmaceutical market. It also examines the competitive strategies used by leading pharmaceutical companies in Bangladesh, including their approaches to product pricing and promotion. The document evaluates opportunities and barriers to expanding pharmaceutical exports from Bangladesh. Overall, it aims to understand factors that influence pharmaceutical marketing in Bangladesh and identify ways to further improve the sector.
marketing & sales roles for the pharma industriesAbhilash Vangari
The document discusses marketing and sales roles in the pharmaceutical industry. It describes the key principles of marketing, including meeting consumer needs. It outlines the role of marketing in influencing activities from manufacturer to patient. Marketing helps remove gaps between parties interested in exchange. The document also discusses the unique aspects of pharmaceutical marketing, including the influence of physicians on purchasing. It defines different types of market research conducted, including environmental scanning, clinical trial planning, and post-marketing monitoring. Finally, it outlines sales roles like detailing and sample management.
BP801T. BIOSTATISITCS AND RESEARCH METHODOLOGY (Theory), Unit-II, Regression: Curve fitting by the method of least squares, fitting the lines y= a + bx and x
= a + by, Multiple regression, standard error of regression– Pharmaceutical Examples, • Regression: how well a certain independent variable
predict dependent variable?
• Regression: a measure of the relation between
the mean value of one variable (e.g. output) and
corresponding values of other variables (e.g.
time and cost).
FDA’s emphasis on quality by design began with the recognition that increased testing does not improve product quality (this has long been recognized in other industries).In order for quality to increase, it must be built into the product. To do this requires understanding how formulation and manufacturing process variables influence product quality.Quality by Design (QbD) is a systematic approach to pharmaceutical development that begins with predefined objectives and emphasizes product and process understanding and process control, based on sound science and quality risk management.
This presentation - Part VI in the series- deals with the concepts of Design of Experiments. This presentation was compiled from material freely available from FDA , ICH , EMEA and other free resources on the world wide web.
MIS Project 5Just choose one of the projects cases there are .docxraju957290
MIS Project 5
Just choose one of the projects cases there are below. Don’t use the one that requires MyMISLab’s , chose the ones that do not require special software.
Complete and submit ONE Hands-on MIS Project
There is no word/length requirement. Just try to answer in a way that's clear and makes sense.
Don’t use the MIS project that requires MyMISLab
Chapter 9Hands-On MIS Projects
The projects in this section give you hands-on experience analyzing business process integration, suggesting supply chain management and customer relationship management applications, using database software to manage customer service requests, and evaluating supply chain management business services. Visit MyMISLab’s Multimedia Library to access this chapter’s Hands-On MIS Projects,Management Decision Problems
1. 9-8 Toronto-based Mercedes-Benz Canada, with a network of 55 dealers, did not know enough about its customers. Dealers provided customer data to the company on an ad hoc basis. Mercedes did not force dealers to report this information. There was no real incentive for dealers to share information with the company. How could CRM and PRM systems help solve this problem?
2. 9-9 Office Depot sells a wide range of office supply products and services in the United States and internationally. The company tries to offer a wider range of office supplies at lower cost than other retailers by using just-in-time replenishment and tight inventory control systems. It uses information from a demand forecasting system and point-of-sale data to replenish its inventory in its 1,600 retail stores. Explain how these systems help Office Depot minimize costs and any other benefits they provide. Identify and describe other supply chain management applications that would be especially helpful to Office Depot.Improving Decision Making: Using Database Software to Manage Customer Service Requests
Software skills: Database design; querying and reporting
Business skills: Customer service analysis
1. 9-10 In this exercise, you’ll use database software to develop an application that tracks customer service requests and analyzes customer data to identify customers meriting priority treatment.
Prime Service is a large service company that provides maintenance and repair services for close to 1,200 commercial businesses in New York, New Jersey, and Connecticut. Its customers include businesses of all sizes. Customers with service needs call into its customer service department with requests for repairing heating ducts, broken windows, leaky roofs, broken water pipes, and other problems. The company assigns each request a number and writes down the service request number, the identification number of the customer account, the date of the request, the type of equipment requiring repair, and a brief description of the problem. The service requests are handled on a first-come-first-served basis. After the service work has been completed, Prime calculates the cost of the work, enters the ...
Applications of sas and minitab in data analysisVeenaV29
SAS and Minitab are statistical software packages used for data analysis. SAS is used to process raw data, perform a variety of analyses, and generate insights to help organizations make better decisions. It has functions to manipulate text and works through data and procedure steps. Minitab is designed for teaching introductory statistics and solving problems in six sigma projects. It allows users to input, manipulate, visualize, and find patterns in data through various statistical tests and quality control charts. Both SAS and Minitab are widely applied in industry, research, and education.
The document discusses pharmaceutical marketing practices in India and the development of a Uniform Code of Pharmaceutical Marketing Practices (UCPMP). It notes that while the UCPMP aims to standardize ethical practices, some remain skeptical of its effectiveness without strict enforcement. Concerns have been raised about the influence of pharmaceutical company promotions on doctor prescribing habits. The UCPMP framework outlines principles for ethical product promotion, prohibiting gifts to influence prescribing, and requiring transparency around expenditures.
Artificial Intelligence in Pharma - Where it MattersDaniel Faggella
This slide deck is for a presentation for a room of French pharmaceutical executives at the Paris Region Enterprises offices in San Francisco. The presentation draws on some of our pharma coverage from TechEmergence over the last year, including:
1) https://www.techemergence.com/ai-in-pharma-and-biomedicine/
2) https://www.techemergence.com/machine-learning-in-pharma-medicine/
Analysis of elemental impurities in APIDr. Amsavel A
The document discusses guidelines for controlling elemental impurities in active pharmaceutical ingredients (APIs) according to new regulatory requirements. It provides an overview of:
1) Background guidelines from various regulatory agencies on limiting elemental impurities.
2) Reasons for the new requirements to replace heavy metal testing, including difficulties with reproducibility and safety of current methods.
3) Classification of elemental impurities based on toxicity and permissible intake limits set by the ICH.
It also outlines procedures for method development, validation, and implementation of elemental impurity testing and control as defined in USP general chapters 232 and 233.
Calibration of analytical instruments is important to ensure they are accurate and precise. It involves comparing an instrument's measurements to a reference standard to determine any adjustments needed. Regular calibration helps verify that instruments are suitable for their intended purposes in pharmaceutical analysis. It is necessary to comply with quality standards and regulations. The calibration process involves using traceable standards and documented procedures to evaluate instruments and certify their performance is within specified tolerance limits. Maintaining calibration records provides a history of each instrument's accuracy over time.
This document discusses elemental impurities in pharmaceutical products. It defines elemental impurities as traces of metals that can be introduced during manufacturing from sources like catalysts, equipment, or packaging materials. It identifies several potential sources of elemental impurities and analytical procedures that can be used to detect specific impurities. These include testing for impurities introduced during synthesis, from equipment, excipients, or container leaching. The document also describes CHNS elemental analyzers which can rapidly determine carbon, hydrogen, nitrogen and sulfur content and are widely used in applications like pharmaceuticals, chemicals and food analysis.
Social and preventive Pharmacy UNIT 4.pptxManojKumbhare2
The document discusses India's Reproductive, Maternal, Newborn, Child and Adolescent Health framework and related programs and initiatives. It aims to provide continuum of care across life stages with a focus on reducing preventable maternal and newborn deaths. Key programs mentioned include SUMAN (for quality maternal and newborn healthcare), Maternal Death Surveillance and Response, and the Reproductive and Child Health Portal for tracking pregnant women and children. The National Family Planning Program and Mission Pariwar Vikas initiative aim to increase access to family planning services and choices. The National Tobacco Control Program also aims to reduce tobacco use through awareness, enforcement of laws, and cessation facilities.
This case study based in hip implant which was done by johnson and johnson company ,controversy on hip implant, compensation, adverse effect, and many more
1. A statistical hypothesis represents the mathematical relationship between two or more population parameters. It can be directional, specifying the exact relationship, or nondirectional, anticipating a difference but not specifying the direction.
2. The null hypothesis predicts no difference between population parameters, while the alternative or experimental hypothesis predicts a difference. Through statistical testing, we can either reject the null hypothesis in favor of the alternative, or accept the null hypothesis.
3. Significance testing uses statistical tests and probabilities to determine if sample data can be used to reject the null hypothesis involving population parameters. If the difference is unlikely to have occurred by chance when the null hypothesis is true, it is considered statistically significant.
Introduction,Definations,Types of Bioequivalence studies,Invitro,Invivo studies,Biowaivers,Study protocol,Types of study designs,statistical procedures,conclusion
Drug development involves basic research to identify drug targets and applied research to develop treatments. Preclinical trials test drug safety and efficacy in animals prior to human trials. They involve pharmacokinetic, pharmacodynamic and toxicology studies in two animal species. This provides data on effective and toxic doses, screens the drug's activity, and identifies formulation. Preclinical trials help determine if a drug warrants further development or should be terminated. They aim to predict potential human adverse effects and provide guidance for initial human clinical trials. However, extrapolating animal data to humans has limitations due to interspecies differences.
This document discusses validation parameters for analytical methods according to FDA, USP, and ICH guidelines. It outlines key parameters such as specificity, linearity, accuracy, precision, detection and quantitation limits, ruggedness, and robustness. Precision is discussed as having three levels - repeatability, intermediate precision, and reproducibility. The document also provides details on validation parameters like range, system suitability testing, and acceptance criteria for assays.
Research Methodology (M. Pharm, IIIrd Sem.)_UNIT_IV_CPCSEA Guidelines for Lab...RAHUL PAL
CPCSEA guidelines for laboratory animal facility: Goals, veterinary care, quarantine,
surveillance, diagnosis, treatment and control of disease, personal
hygiene, location of animal facilities to laboratories, anesthesia, euthanasia, physical facilities, environment, animal husbandry, record keeping, SOPs, personnel and
training, transport of lab animals.
This document provides an overview of strategic marketing and planning to improve pharmaceutical marketing in Bangladesh. It discusses the background and history of the pharmaceutical sector in Bangladesh, including key milestones like the National Drug Policy of 1982. It analyzes the size and growth of the domestic pharmaceutical market. It also examines the competitive strategies used by leading pharmaceutical companies in Bangladesh, including their approaches to product pricing and promotion. The document evaluates opportunities and barriers to expanding pharmaceutical exports from Bangladesh. Overall, it aims to understand factors that influence pharmaceutical marketing in Bangladesh and identify ways to further improve the sector.
marketing & sales roles for the pharma industriesAbhilash Vangari
The document discusses marketing and sales roles in the pharmaceutical industry. It describes the key principles of marketing, including meeting consumer needs. It outlines the role of marketing in influencing activities from manufacturer to patient. Marketing helps remove gaps between parties interested in exchange. The document also discusses the unique aspects of pharmaceutical marketing, including the influence of physicians on purchasing. It defines different types of market research conducted, including environmental scanning, clinical trial planning, and post-marketing monitoring. Finally, it outlines sales roles like detailing and sample management.
BP801T. BIOSTATISITCS AND RESEARCH METHODOLOGY (Theory), Unit-II, Regression: Curve fitting by the method of least squares, fitting the lines y= a + bx and x
= a + by, Multiple regression, standard error of regression– Pharmaceutical Examples, • Regression: how well a certain independent variable
predict dependent variable?
• Regression: a measure of the relation between
the mean value of one variable (e.g. output) and
corresponding values of other variables (e.g.
time and cost).
FDA’s emphasis on quality by design began with the recognition that increased testing does not improve product quality (this has long been recognized in other industries).In order for quality to increase, it must be built into the product. To do this requires understanding how formulation and manufacturing process variables influence product quality.Quality by Design (QbD) is a systematic approach to pharmaceutical development that begins with predefined objectives and emphasizes product and process understanding and process control, based on sound science and quality risk management.
This presentation - Part VI in the series- deals with the concepts of Design of Experiments. This presentation was compiled from material freely available from FDA , ICH , EMEA and other free resources on the world wide web.
MIS Project 5Just choose one of the projects cases there are .docxraju957290
MIS Project 5
Just choose one of the projects cases there are below. Don’t use the one that requires MyMISLab’s , chose the ones that do not require special software.
Complete and submit ONE Hands-on MIS Project
There is no word/length requirement. Just try to answer in a way that's clear and makes sense.
Don’t use the MIS project that requires MyMISLab
Chapter 9Hands-On MIS Projects
The projects in this section give you hands-on experience analyzing business process integration, suggesting supply chain management and customer relationship management applications, using database software to manage customer service requests, and evaluating supply chain management business services. Visit MyMISLab’s Multimedia Library to access this chapter’s Hands-On MIS Projects,Management Decision Problems
1. 9-8 Toronto-based Mercedes-Benz Canada, with a network of 55 dealers, did not know enough about its customers. Dealers provided customer data to the company on an ad hoc basis. Mercedes did not force dealers to report this information. There was no real incentive for dealers to share information with the company. How could CRM and PRM systems help solve this problem?
2. 9-9 Office Depot sells a wide range of office supply products and services in the United States and internationally. The company tries to offer a wider range of office supplies at lower cost than other retailers by using just-in-time replenishment and tight inventory control systems. It uses information from a demand forecasting system and point-of-sale data to replenish its inventory in its 1,600 retail stores. Explain how these systems help Office Depot minimize costs and any other benefits they provide. Identify and describe other supply chain management applications that would be especially helpful to Office Depot.Improving Decision Making: Using Database Software to Manage Customer Service Requests
Software skills: Database design; querying and reporting
Business skills: Customer service analysis
1. 9-10 In this exercise, you’ll use database software to develop an application that tracks customer service requests and analyzes customer data to identify customers meriting priority treatment.
Prime Service is a large service company that provides maintenance and repair services for close to 1,200 commercial businesses in New York, New Jersey, and Connecticut. Its customers include businesses of all sizes. Customers with service needs call into its customer service department with requests for repairing heating ducts, broken windows, leaky roofs, broken water pipes, and other problems. The company assigns each request a number and writes down the service request number, the identification number of the customer account, the date of the request, the type of equipment requiring repair, and a brief description of the problem. The service requests are handled on a first-come-first-served basis. After the service work has been completed, Prime calculates the cost of the work, enters the ...
Applications of sas and minitab in data analysisVeenaV29
SAS and Minitab are statistical software packages used for data analysis. SAS is used to process raw data, perform a variety of analyses, and generate insights to help organizations make better decisions. It has functions to manipulate text and works through data and procedure steps. Minitab is designed for teaching introductory statistics and solving problems in six sigma projects. It allows users to input, manipulate, visualize, and find patterns in data through various statistical tests and quality control charts. Both SAS and Minitab are widely applied in industry, research, and education.
Business Analytics Training Catalog - QueBIT Trusted Experts in Business Anal...QueBIT Consulting
Why use QueBIT for training? QueBIT aims to make it easy to help you find the right information. Our mission is to empower you with the training you need, so that you can apply analytic techniques with confidence. We want you to succeed and see the power in the data that is at your fingertips, so that you can make better informed decisions. QueBIT is a full-service operation, offering flexible training sessions to meet your busy schedules. Our training is presented by certified, expert, technical trainers.
QueBIT will support your training needs for all the IBM Business Analytics products: TM1, Business Intelligence, and SPSS. QueBIT Consulting, LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit.
Application of Excel and SPSS software for statistical analysis- Biostatistic...Himanshu Sharma
This slide contains B.Pharm Biostatistics and Research methodology 8th Sem. Unit-3 L2 topic- "Statistical Analysis using Software"
It contains topics:
1. MS Excel
2. SPSS
3. MiniTab
#StatisticalAnalysisusingMSExcel
#StatisticalAnalysisusingMiniTab
#StatisticalAnalysisusingSPSS
Statistical software tools like MS Excel, SPSS, and MiniTab can be used for statistical analysis.
MS Excel is commonly used due to its convenience and low cost, but requires statistical knowledge. It provides functions for descriptive statistics. SPSS is commonly used in social sciences for tasks like frequencies, cross-tabulation, and regression without coding. MiniTab provides statistical analysis tools and graphical visualization for processes like Six Sigma. Each tool has advantages like ease of use, analysis capabilities, and limitations like learning curves, file sizes, and costs.
August webinar - Data Analysis vs Business Analysis vs BI vs Big DataMichael Olafusi
Michael Olafusi is an Excel expert and experienced trainer who quit his job in the telecom industry to focus on Excel. He has worked in various roles involving data analysis and business intelligence. He is now the training director of UrBizEge and plans to revolutionize business data analysis in Nigeria. He is also the only Excel MVP in Africa and first from Nigeria.
This document summarizes a presentation about rethinking the use of SharePoint. Some key points:
- SharePoint is widely used but often implemented without proper planning, resulting in uncontrolled growth and silos.
- A better approach is to treat SharePoint as a platform and design customized solutions on top of it to meet user and business needs.
- This involves upfront requirements gathering, design, and development work but reduces total costs compared to just deploying SharePoint out of the box.
- Strategies are presented to address typical SharePoint problems like ease of use, silos, and lack of control through approaches like simplified interfaces, dashboards, and business rules.
Ikon Office Solutions is a leading office technology company with over $5 billion in revenue. It aims to double in size within 4 years through acquisitions. To integrate acquired companies and enable growth, Ikon embarked on an ERP implementation project using SAP R/3. However, the project faced major challenges including configuration issues, data conversion problems, and lack of user adoption. As a result, the system went live significantly over budget and behind schedule. Ikon was unable to realize benefits and the failed ERP implementation hampered the company's growth strategy.
This document discusses using Microsoft Excel 2013 and Microsoft Access to create an offers bank decision support system (DSS). It proposes a 4 phase approach: 1) Create a database and star schema using Access, 2) Fill the database with data by defining dimensions and measures and retrieving data in Excel, 3) Create a dashboard in Excel, 4) Analyze past trends and predict future trends using data mining. The document also provides background on business intelligence solutions and reviews literature on using BI to turn raw data into meaningful business insights.
Minitab webinar presentation See the unknown with monte carlo simulationMinitab, LLC
This document is a transcript from a webinar presented by Jennifer Atlas on using Monte Carlo simulation in Minitab. The webinar discusses how Monte Carlo simulation can account for risk and uncertainty in quantitative analysis by running simulations with probabilistic inputs. Examples are provided on using it to assess project schedule risk and optimize a manufacturing process for roofing shingles. The webinar promotes Minitab products like Engage for managing improvement projects and visual tools for process analysis and problem solving.
Beyond the Dashboard:Exploratory Analytics discusses how exploratory analytics allows users to go beyond traditional dashboards and reports to test hypotheses, conduct "what if" scenarios, and build predictive models. Exploratory analytics uses visualization, modeling, and interactive capabilities to analyze data in a more flexible way compared to static reports. The presentation highlights how the Quantrix platform supports exploratory analytics through capabilities like pivot and filter charts, enhanced visualization, modeling, and multidimensional analysis for forecasting, planning, and risk analysis. Real-world examples are also provided.
Centric Seattle's Ryan Lowe and Microsoft's Karthik Ravindran partner to speak about "Marketing Operations: Scaling the Art and Science of Modern Marketing" at Seattle Interactive on Wednesday, October 19.
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Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Find out more about ISO training and certification services
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2. 02
Highlights
1
Overview
Excel vs Minitab
Introduction to Excel
Introduction to Minitab
Features of Excel
Minitab Features
Excel Cost
Minitab Cost
Excel learning
Minitab Learning
MS Excel Support
Minitab Support
Excel jobs
Minitab jobs
Conclusion
3. 03
Overview
Excel vs Minitab is the closest competitors in the world.
There are many similarities between Excel vs Minitab.
That’s why it is quite hard for the students to pick either
one between these two statistics softwares. This time to
overcome the student’s problem, we are going to share
with you the in-depth comparison between Excel vs
Minitab. This comparison will help you to pick the best
one between these two
5. Microsoft Excel is one of the most powerful and widely used
spreadsheet program in the world. It is the most commonly used
spreadsheet software of all time. Millions of businesses and people
around the globe are using excel to manage their daily tasks. The
reason is, you can insert all sorts of data into excel. Besides you can
also perform various financial, statistics, and mathematics
calculations.In other words, it is used to record and analyze numerical
data. Like other statistics software, it is the collection of rows and
columns. The numbers are assigned to the rows, which is quite
useful. The group of both rows and the column is known as the
cell.And the address of the cell is denoted by column number and the
row number with a hyphen between them. Microsoft Excel is
considered as one of the oldest spreadsheet software. It was
launched around 1982. But the improved version of MS Excel was
launched in the year 1987 by Microsoft.
05
Introduction to Excel
6. 06
Minitab is not for all types of users. It is specially designed for the
six sigma professionals. Six Sigma professionals are one of the
most important factors for the business. They use Minitab to
analyze the data, and on the basis of their analyzation, they
improve the business process. The six sigma is all about quality
management techniques.They do a lot of analysis to eliminate the
defects in the products or services. Minitab was developed
by Barbara F. Ryan, Thomas A. Ryan, Jr., and Brian L. Joiner in
1972 at the Pennsylvania State University. They were the
researcher at that university. Minitab help has automated the
calculation and the process of graph creation. Moreover, It allows
the users to put more focus on data analysis and results in
interpretation.
Introduction to Minitab
8. Measurement
systems analysis
Contour and
rotating 3D plots
Analysis of
Variance
Linear and
nonlinear
regression
Binary, ordinal and
nominal logistic
regression
Measurement
Systems Analysis
Exact failure, right-,
left-, and interval-
censored data
Random number
generator
Extensive
preferences and
user profiles
Chi-square, Fisher’s
accurate, and other
tests
08
Features
of Minitab
9. Microsoft excel is not an individual product of
Microsoft. It is the part of Microsoft office. But
nowadays you can purchase MS excel separately.
MS Excel will cost you around $129.99 for once pc
activation. You can’t install and activate it on
another PC. It is compatible with the latest version
of Windows 10 and offers multi-language support.
Purchased the licensed version of MS Excel at Buy
now
Excel Cost
09
10. Minitab has two types of licenses, the first one is the
annual network license, and the other one is a single
license. You can purchase the Minitab, or you can
upgrade it to the latest version by paying some money to
Minitab.For academic users, the Minitab cost you around
$29.99 for 6-month rent and $49.99 for 12-month rent.
For a multi-user network, you need to get in touch with
them. And for the single-user license, you need to spend
$2348 one time. Or if you upgrade you Minitab version to
the latest one, then you need to pay $1432.
Minitab Cost
10
11. Excel learning
Excel is offering the quite easy to use interface to the users. It is easy
to do the basic math calculations in Excel without any prior training.
Nowadays, there are lots of free platforms where you can learn to
excel for free. If we talk about the ease of learning for beginners,
then yes, it is easy for beginners to get started with excel.Microsoft
has initiated the best excel training support to the students on a
freemium basis. It athat some of the services or products are paid in
their training area, and some are free. Besides, you will find plenty of
stuff like full excel training from basic to advanced level, some pre-
built templates, tips from the experts, experts tips directly from
YouTube.
11
12. Minitab Learning
Like MS Excel, Minitab is also offering training support for the users.
But if I talk about the ease of learning, then it is not as easy as MS
Excel. It is popular among the Six Sigma professionals. It means that
if you want to perform specific tasks in Minitab, then you need to
have prior training.Minitab is officially offering many courses to the
users, and these courses are divided into 2 Categories i.e.,
Manufacturing and the Services. You can also get onsite training
and public training from the Minitab. Apart from that, it is also
offering the E-learning to its users.
12
13. MS Excel Support
Microsoft excel is offering excellent online
support to users. You can get into touch
with their experts with the help of their
community, or you can jump into the section
where you can type your issues, and their
experts will resolve your problems as soon
as possible.
14. Minitab Support
Minitab beats MS Excel at this point of
comparison. It is offering outstanding
support to the users. It is offering a variety of
online support to the users. You can get the
data set, the documentation, downloads the
additional tools for Minitab, videos,
webinars, FAQs of installations, blog,
software updates, licensing, and activation.
16. Minitab jobs
Senior Specialist
Sales Management Advisor
Quality Manager
Pharma Quality Associate
Project Development
Engineer
Sales Management Advisor
Program Manager
Data Analyst
Design Engineer
Process Improvement
Manager
17. 17
Conclusion
Now you may quite confident to choose the best between Excel vs Minitab; from the above
comparison, we have found that anyone can use MS Excel, and it is quite popular among the
small and medium enterprises.On the other hand, Minitab is use in educational, small, medium,
and even large enterprises. Matlab is offering lots of features that are not provided by Excel. But
wait, if we talk about the cost of both of these products, then excel is quite cheaper than
Minitab.Besides you can fulfill all the primary requirements of small and medium businesses.
Excel also has numerous job opportunities. Minitab is also offering diverse job opportunities, but
you need to have excellent command over Minitab. Now it’s up to you what you are going to
learn between Excel vs Minitab.Get the best Excel assignment help and excel homework
help from the experts. Also get the best minitab assignment help and minitab homework help at
nominal charges.