Sentences with phrase «model correct answers»

It can also be played during the feedback lesson to model correct answers for students.

Model the correct answer, using a complete sentence with a preposition.

Not exact matches

On the other hand if you get a NOT true and answer, you KNOW your model is not correct and so you make a BETTER model to take into account this new data.

If it is a correct answer, it implies that we must support such organized efforts as that of the APPE4 to deflect current educational momentum into other channels than a mere reshifting of the same materials and approaches, putting forward of dead models as new panaceas, or the temptation to begin with precise discipline where in fact learning should start in a different way.

But she believes that computer software could be written to respond to — maybe even «learn» from — the interplay of correct answers and mistakes that makes up the model / rival system.

Knowing the correct answers to these questions is really important, as without them, we won't get the desired result and will never know if the process is complete or whether we are done with it, getting an actual predictive model.

There is also a writing model answer containing mistakes for the pupils to find and then correct.

Although the specs may seem fairly intimidating, they lay out task models for developing different types of items to address each target — for example, task models for developing multiple choice items, for developing multiple choice items with multiple correct answers, and for items using hot text (for technology - enhanced items where students highlight particular parts of texts to provide their answers).

Paulster2's answer, of search by model number, is correct.

More detailed modeling can come up with a reasonable answer, but also state that the correct beta is a weak tendency, and is swamped by other effects.

No, that is not correct, both papers seek to determine whether the observational data are consistent with the models, however Douglass et al use a statistical test that actually answers a different question, namely «is there a statistically significant difference between the mean trend of the ensemble and the observed trend».

Are the models capable of giving us a correct answer in a probabilistic sense about the attribution of 20th century climate change, or sensitivity to CO2 doubling?

(New capitals) All you have said is that the models give the correct answer.

How do we know that the models are giving the «correct» answer?

How do we know that any particular model is giving the correct answer to the problem it is trying to solve?

What I asked was «HOW do we know that the models are giving the «correct» answer?»

Further, agreement between model and data does not imply that the model gets the correct answer for the right reasons; rather, such agreement merely indicates that the model is empirically adequate.

basically in a model where there are corner cases that drive extreme values it is possible to understand the fundamentals, get the answer correct on many cases, and still have corner cases that are wildly wrong.

The pattern of answers a model gives you is no sure indication of whether or not you have the «fundamentals correct» A real skeptic would recognize that when the answer of a model does nt fit the data all you know is this: something is wrong.

(sarc) The correct answer to all political questions about TCR global sun - induced ozone recovery sensitivity (50 % undefined or rather obscurely neglecting the modelling of bark beetles and their modelled «black carbon» on ice sheets.)

As if the stooge Consensus likes measurements rather than inept expensive models, that nevetheless do their masters bidding and produce the * politically * correct answers.

Steve, (My apologies if I'm repeating an oft - asked & oft - answered question here)... I am highly dubious of any model's ability to «correct» for UHI, be it on a site - specific, regional, or global basis.

And then the IPCC expects an aggregation of incorrect models to magically supply a correct answer.

because there is always error we specify that a model must get an answer correct within X units.