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Understanding Hypothesis Tests: Why We Need to Use …

WEBThis is where hypothesis tests are useful. A hypothesis test allows us quantify the probability that our sample mean is unusual. For this series of posts, I’ll continue to …

Actived: 5 days ago

URL: https://blog.minitab.com/en/adventures-in-statistics-2/understanding-hypothesis-tests-why-we-need-to-use-hypothesis-tests-in-statistics

Quality Improvement in Healthcare: Showing if process …

WEBVia Christi Health, the largest provider of healthcare in Kansas, operates a Center for Clinical Excellence that's made up of a team of quality practitioners, all who …

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Understanding Analysis of Variance (ANOVA) and the F …

WEBTo use the F-test to determine whether group means are equal, it’s just a matter of including the correct variances in the ratio. In one-way ANOVA, the F-statistic …

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Understanding Hypothesis Tests: Significance Levels …

WEBThe P value of 0.03112 is statistically significant at an alpha level of 0.05, but not at the 0.01 level. If we stick to a significance level of 0.05, we can conclude that …

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How to Use Brushing to Investigate Outliers on a Graph

WEBClick OK. Turn on brushing mode and set an ID variable to get specific information about the outlier. With the scatterplot window active, follow these steps: …

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Exploring Healthcare Data, Part 1

WEBExploring Healthcare Data, Part 1. Working with healthcare-related data often feels different than working with manufacturing data. After all, the common thread among healthcare …

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Quality Improvement in Healthcare: Completing Projects …

WEBThe DMAIC methodology for completing quality improvement projects divides project work into five phases: define, measure, analyze, improve, and control. It’s …

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A Statistical Approach to Improving Health Equity

WEBThe Quintuple Aim in healthcare improvement seeks to enhance the overall health and wellness experience for patients, clinicians and communities. This five …

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Exploring Healthcare Data, Part 2

WEBExploring Healthcare Data, Part 2. In the first part of this series, we looked at a case study where staff at a hospital used ATP swab tests to test 8 surfaces for …

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Minitab Blog Healthcare

WEBFewer X-Ray Errors Reduce Cancer Risk, Wait Time and Costs. Healthcare | Tips and Techniques for Statistics and Quality Improvement. Blog posts and articles about using …

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SWOT Analysis examples in healthcare, marketing, quality and …

WEBA SWOT analysis can be a powerful way to bridge the gap between stakeholders and a CI department. Let’s use an example in the healthcare industry to illustrate how a SWOT …

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Understanding Hypothesis Tests: Confidence Intervals and

WEBYou can use either P values or confidence intervals to determine whether your results are statistically significant. If a hypothesis test produces both, these results will …

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A Health Insurance SIPOC Example

WEBA Completed SIPOC Example. Below is a SIPOC form that has been filled out, to give you an idea of the kind of information you want to capture with this tool. This form is for a …

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A Six Sigma Healthcare Project, part 1: Examining Factors with a …

WEBThe Pareto chart is a must-have in any analyst’s toolbox. The Pareto principle states that about 80% of outcomes come from 20% of the possible causes. By …

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Which Control Chart Should I Use

WEBWeight, height, width, time, and similar measurements are all continuous data. If you're looking at measurement data for individuals, you would use an I-MR chart. If your data …

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Combating COVID-19: How Adventist HealthCare is Using Process …

WEBBased in Gaithersburg and founded in 1907, Adventist Healthcare is the first and largest healthcare provider in Montgomery County, Maryland. Their healthcare …

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How to Use Value Stream Maps in Healthcare

WEBThe he althcare industry has faced enormous challenges in 2020, namely battling the novel coronavirus COVID-19. This industry is made of professionals known for their resiliency, …

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Regression Analysis: How Do I Interpret R-squared and Assess the

WEBThe definition of R-squared is fairly straight-forward; it is the percentage of the response variable variation that is explained by a linear model. Or: R-squared = Explained …

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Discovering Four Types of Fishbone Diagrams

WEBThe 4S Fishbone. This type of fishbone diagram gets its name from the way it organizes information about potential causes into four common categories: Suppliers, Systems, …

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