Statistical tests on the photometric and pixel flux time series established the viability of the planet candidates triggering ground - based follow - up observations.
The «Interactive Statistics Chart» allows researchers to calculate
statistical tests on their own data.
Rodriguez and Tower performed a simple
statistical test on historical data about the performance record of Dan Weiner's Growth Porfolio.
Not exact matches
The exact mathematics of what goes
on behind split
testing reliability analysis can be read in the 20bits article Statistical Analysis and A / B Testing, or my blog article Mathematics of A / B t
testing reliability analysis can be read in the 20bits article
Statistical Analysis and A / B
Testing, or my blog article Mathematics of A / B t
Testing, or my blog article Mathematics of A / B
testingtesting.
Based
on testing grounded in
statistical analysis, we expect to swing that drawdown back into positive territory within 2 months following that mailing.
The «soft» social sciences, which includes spirituality as well as psychology and sociology, rely
on the
statistical evidence that has been
tested in the crucible of human experience.
Where
statistical testing was performed
on categorical data, χ2
tests were used.
Their first step of the evaluation is comparing scores
on state assessment
tests to «
statistical expectations for the state» and pulling those that have a high gap.
As 2 - way is considered, I would say level of accomplishment (though Mikal has been the best defender
on the team for the last two years and has an award to show for it last year BEDPOY if I am not mistaken) is not as relevant as it is to the GOAT discussion (though clearly still a factor), and rather, the eye
test /
statistical analysis is more applicable.
Test results are based
on both
statistical averaging and comments received from the parent / testers.
Y - HC and FSPN advised
on the selection and conduct of
statistical tests, and the interpretation of the results.
The two groups have an almost identical average majority and there is no
statistical difference between them
on any of the constituency demographics I
tested for [10].
You'll want to wait for what's called «
statistical significance,» a fancy term that means that there's a 95 % chance that the results are representative of what would happen if you let the
test go
on forever.
The notion was backed up by the American
Statistical Association, which previously said the formula the state uses to calculate student growth based
on test scores should not be used in teacher evaluations.
Kaminsky's team then developed a blood
test that measured SKA2 activity and levels of methyl groups, then fed its results, plus data
on demographics and stress level, into a
statistical model.
Another important design consideration is the types of
statistical tests that will be used
on the data.
A
statistical analysis of the data revealed that UF FA value was a stronger predictor of recovery time than initial symptom severity based
on neurocognitive
testing.
So Higgins conducted an experiment to determine whether a
statistical approach could identify more of the athletes who sandbagged
on the baseline
test.
Results of each
statistical test should be reported in full with the value of the
test statistic and p - value, and not simply reported as significant or non-significant; more than two significant digits
on p - values are usually not needed except in situations of extreme multiple
testing such as in genetic association studies where stringent corrections for multiple
testing might be used.
Any results that are reported to constitute a blinded, independent validation of a
statistical model (or mathematical classifier or predictor) must be accompanied by a detailed explanation that includes: 1) specification of the exact «locked down» form of the model, including all data processing steps, algorithm for calculating the model output, and any cutpoints that might be applied to the model output for final classification, 2) date
on which the model or predictor was fully locked down in exactly the form described, 3) name of the individual (s) who maintained the blinded data and oversaw the evaluation (e.g., honest broker), 4) statement of assurance that no modifications, additions, or exclusion were made to the validation data set from the point at which the model was locked down and that neither the validation data nor any subset of it had ever been used to assess or refine the model being
tested
Secondly, given that much of this centres
on antenatal genetic
testing, the notion of holding a doctor responsible for single instances of false negatives violates basic
statistical...
Some will, no doubt, question the result
on the basis that it is «simply» a
statistical test.
The critics «decided to focus
on one [
statistical]
test and burn down the entire story based
on that,» she says.
By using meta - analysis, an advanced
statistical technique that analyzes many studies at the same time, they performed rigorous
testing to determine whether the beneficial effect of adding biochar depends
on geography.
They have developed a set of tools that can be used to make accurate, rapid assessments of proposed materials, using a series of relatively simple lab
tests combined with computer modeling of the physical properties of the material itself, as well as additional modeling based
on a
statistical method known as Bayesian inference.
Paul Meehl was renowned for many things: his insistence
on statistical and research rigor; his prescient views
on schizophrenia; his advancements in psychotherapy; his creation of one of the scales of the Minnesota Multiphasic Personality Inventory (MMPI — one of the most widely used
tests of personality in clinical research and practice.)
An investigation of the
statistical power of neutrality
tests based
on comparative and population genetic data.
Heiko Woith and colleagues at the GFZ German Research Centre for Geosciences say scientists must determine whether the link between the animal behavior and the earthquake is based
on clearly defined rules (such as the animal's distance from earthquakes of a certain magnitude), whether the animal behavior has ever been observed and not followed by an earthquake, whether there is a
statistical testing hypothesis in place to examine the evidence, and whether the animal population is a healthy, among other questions.
Aggregation
tests (sometimes called burden
tests) were developed to help identify genetic association driven by variants that, individually, are too rare to reach
statistical significance
on their own.
Genes were further categorized based
on fold - change and additional
statistical tests within each module.
The differences in percentage of marital break - ups across
on - line venues approached
statistical significance [χ2 (10) = 16.71, P = 0.08; Table S5], but differences across off - line venues were not statistically significant [χ2 (9) = 10.17, P = 0.34], and neither
test was significant after controlling for covariates [χ2 (10) = 14.41, P = 0.17, and χ2 (9) = 7.66, P = 0.56, respectively].
We use common
statistical procedures to estimate the effect
on math and reading
test scores of each additional year of actual attendance at a charter school.
In all of the following snapshot comparisons, I consider the group - to - group differences (i.e. margins or gaps) as significant if we can be 90 percent confident of the difference — based either
on statistical t -
tests for comparing means or
statistical z -
tests for comparing population proportions.
Even with this methodology and controlling for measurement error and other variables, Krueger and Lindahl found that the effect of the change in schooling
on growth did not always pass standard
tests for a significant
statistical relationship.
Complete set of notes, content checklist, and poster
on choosing a
statistical test.
While researchers often shy away from using rankings in serious
statistical analyses of
test scores, they can have a substantial impact
on political rhetoric, and consequently, education policy.
Mostly based
on «value added,» a
statistical measure of the contribution the teachers make to student achievement
on standardized
tests.
This assessment is based
on state
tests, using a value - added model that applies
statistical analysis to students» past
test scores to determine how much they are likely to grow
on average in the next year.
We know of no legitimate
statistical text that argues it is irrelevant to use
tests of
statistical significance to guard against random fluctuations in the data - in this case, scores
on tests of student performance.
Incorporating rich information
on students» high school performance, placement
test scores, and demographics, we developed
statistical models to predict how remediated students would have performed had they been placed directly into college - level courses.
To measure the effect
on children's
test scores of switching to a private school, we estimate a
statistical model that takes into account whether a child attended a public or a private school, as well as baseline reading and math
test scores.
There are several different
statistical tests you can use, and the best one to pick will depend
on the type of data you are dealing with.
Even if teachers are not sufficiently aware of the
statistical forces at work to recognize their rather limited influence
on test scores in the short run, they may well become aware of this over time.
A successful undergraduate teacher in, say, introductory biology, not only induces his or her students to take additional biology courses, but leads those students to do unexpectedly well in those additional classes (based
on what we would have predicted based
on their standardized
test scores, other grades, grading standards in that field, etc.) In our earlier paper, we lay out the
statistical techniques [xi] employed in controlling for course and student impacts other than those linked directly to the teaching effectiveness of the original professor.
As a result of our findings of no consistent
statistical association between the achievement and attainment effects in school choice studies we urged commentators and policymakers «to be more humble» in judging school choice programs or schools of choice based solely or primarily
on initial
test score effects.
Using data
on test scores and student records from the Chicago Public Schools, we developed a
statistical algorithm to identify classrooms where cheating was suspected.
Our analysis estimated that the share of classrooms where cheating occurred
on any particular subject
test ranged from 1.1 percent to 2.1 percent, depending
on where the
statistical cutoff point was set.
The API is a separate
statistical measure for schools which, at the elementary and middle school level, is entirely based
on standardized
tests.
The Times used a
statistical approach known as value - added analysis, which rates teachers based
on their students» progress
on standardized
tests from year to year.
The Times analysis relied
on a
statistical approach known as «value - added,» which estimates the effectiveness of teachers by crediting them for the gains students make over their performance in previous years
on standardized
tests in math and English.