Raaphorst, NadineErasmus UnivPublic management reviewRaaphorst, N. 2018. "How to Prove, How to Interpret and What to Do? Uncertainty Experiences of Street-Level Tax Officials." Public Management Review 20 (4): 485- 502. doi:10.1080/14719037.2017.1299199....
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The calculation itself is not too complicated, and it is relatively easy to interpret for its wide range of applications. If an investment’s ROI is net positive, it is probably worthwhile. But if other opportunities with higher ROIs are available, these signals can help investors eliminate or ...
Improve your margin of error with SurveyMonkey You can increase your sample size, reducing your margin of error, with SurveyMonkey.SurveyMonkey Audienceoffers a powerful platform to collect high-quality data quickly and efficiently from an audience that mirrors your target market. Whether you're lau...
The explicit mention of the reference class helped people to interpret probabilities of precipitation better when the target area was explicit; but this was not the case when it was not specified. Furthermore, the polysemy of the percentage format is not likely to cause these misinterpretations, ...
Add confidence intervals: To better understand the uncertainty that comes with sampling error, add confidence intervals to the percentages. Create variables: With your comments coded and associated with an ID, you now have a new variable to create additional analyses. For example, the table below ...
There seems to be a little bit of mystery, and even confusion, around the dates and how to interpret them, so let’s take a little time to understand them a little better. And since my background is in vegetable production, I’ll share a bit more detail there in terms of plants –...
Learn how Shelter Animals Count has created a trusted source of data to support informed decision-making and better outcomes for animal welfare. DataFam Roundup DataFam Roundup: December 9-13, 2024 A weekly blog that brings together what’s trending in the Tableau Community all in one post. ...
The biggest misconception regarding confidence intervals is that they represent the percentage of data from a given sample that falls between the upper and lower bounds. For example, one might erroneously interpret the aforementioned 99% confidence interval of 70-to-78 inches as indicating that 99%...
How appropriately users interpret and act on the results of at-home COVID-19 self-tests is unknown. Objective To assess how users of at-home COVID-19 self-test kits interpret and act on results when given instructions authorized by the FDA, instructions based on decision science principles, ...