Choose customers carefully, ask for feedback often, and always
test a hypothesis before implementing what you hear from customers.
MatGB, Well, yes, it may be consistent within that worldview, but the reality - based community is allowed to see whether we have any information to
test the hypothesis before we implement it on the basis of these very confident assertions.
Not exact matches
«We make assumptions or
hypotheses and run small
tests before we build fully featured versions of a new service.
I think this demand for evidence
before being willing to
test the
hypothesis is either intentionally or unwittingly dishonest, because it seems to me that the evidence would be the result.
Two weeks
before the Systematic Review was published, the Lucas study — which aimed to
test a
hypothesis that «duration of breast feeding is related to changes in vascular function relevant to the development of cardiovascular disease» — was published in the BMJ alongside 2 press releases and a leader article.
I have advocated
before that one way to mitigate problems with null -
hypothesis significance
testing is for editors of scientific journals to employ «results blind» decision making in determining whether to publish and make it be known that they are doing so.
In a nutshell, here's how the model works, based on a general description provided by the Center for Open Science's (COS's) Open Science Framework (OSF):
Before researchers even begin the experiments, they submit a manuscript presenting a clear
hypothesis that they plan to
test and their proposed experimental methods and analyses.
According to Neil Buckholtz, director of the NIA Division of Neuroscience, the investment reflects a shift toward trying to prevent the disease
before it ravages the brain, rather than reverse its effects, and a commitment to
testing the amyloid
hypothesis properly.
«There has never
before been a
test of a biomarker in a cohort that has so much information accumulated, making it the ideal sample for Dr. Akassoglou to
test her
hypothesis.
Do you believe, this is what I believe and I could be wrong and you have more experience in this than I do so I'm
testing my
hypothesis with an expert, that as you add these toxins, like if you were to say on an average day someone with no toxins doesn't ever drop a word for their memory but on a day or a week or when their mercury levels hit one out of 10, maybe they drop one word today, and when they're five out of 10, they drop four words a day, there's a gradual decline in cognitive performance or physical performance
before we hit the «Oh my god I feel crappy all the time, I have chronic fatigue, fibromyalgia, and I'm a zombie?»
The greatest improvements should be seen among schools that had already received one F grade from the state, since their students would become eligible for vouchers if they received a second F. To
test this
hypothesis, average FCAT scale - score improvements for schools were broken out by the grade they received the year
before.
One
hypothesis, for example, is that retesting reduces the pressure to unduly focus teaching effort on the marginal students — students who may or may not pass — in the months
before the initial
test, and thus teachers can give relatively more effort to the infra - marginal students, including those high - achieving students at little risk of failing.
Inquiry and innovation - this is one of the most important outcomes of this model - students, as they work together, will need to learn how to solve problems, where to look for good information, how to distinguish good information from bad, how to confirm their
hypothesis before coming to conclusions, how to
test those conclusions, and more.
Before we can
test hypotheses, we must control for the effects of family background and the level of resources devoted to education.
These procedural processes and descriptors have to be taught to, and practiced by, students
before they can move on to generating and
testing hypotheses.
I mean, one of the things that I've tried to do over these last four years and will continue to do over the next four years is to make sure that we are promoting the integrity of our scientific process; that not just in the physical and life sciences, but also in fields like psychology and anthropology and economics and political science — all of which are sciences because scholars develop and
test hypotheses and subject them to peer review — but in all the sciences, we've got to make sure that we are supporting the idea that they're not subject to politics, that they're not skewed by an agenda, that, as I said
before, we make sure that we go where the evidence leads us.
It's important to look at a large number of cases, rather than just a couple,
before you can
test any
hypotheses.
From the point of view of statistical analysis there is a difference between
testing a
hypothesis specified fully
before the experiment and determining the confidence interval, but the issues are closely related and methods developed to handle the differences correctly.
It seems to be
before we can discuss statistical
tests of any data set for the significance of any
hypothesis, we must
test the data itself for various characteristics.
In science, a
hypothesis needs to go through a lot of
testing before it gets labeled a theory.
I fully understand the two points you raised even
before I proposed this method of
hypothesis testing.
Or just read in some statistical textbook about type I and type II errors when statistical
testing is done,
before you dispute the statement that a failure of rejecting the Null -
hypothesis doesn't confirm the Null -
hypothesis.
You seem to have made up your mind on the validity of the GCR cloud
hypothesis even
before it has been fully
tested at CERN.
It is for those that support the idea of AGW to describe the
hypothesis in detail and to set out repeatable
tests based on falsifiable empirical evidence
before the
hypothesis can become an accepted theory.
So I think the more certainty you can have, the more
hypotheses you've been able to
test before you make the official leap and certainly
before you start raising, trying to raise capital, the more comfortable you'll be I think.
However, divorce mediation can be a time and place in which the parties consciously examine their options and
test out various
hypotheses before settling on a course of action.
Before testing our three main
hypotheses, we conducted preliminary analyses to explore the age differences with regard to the measured affect - relevant traits.
Before testing the first study
hypothesis, we ran a manipulation check to determine distinction between the experimental and control versions of the online program.
At a preliminary stage,
before testing hypotheses with Hierarchical Regression Analyses, Confirmatory Factor Analyses (CFAs) as implemented by AMOS [50].