Chemistry, 05.07.2019 14:00 23s40

The results of an experiment do not support the hypothesis that the experiment was designed to test. was the experiment a waste of time? explain.

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No, the experiment was not a waste due to having an incorrect hypothesis, you just need to go back and make the correct hypothesis

Hope it helps :)

Sulgeorge2004-Peace out

Answer from: daniel4349

Hey there!

When managing an experiment, its always important to present accurate data even if the data doesn't support your hypothesis. If your data does not support the hypothesis, the experiment was not a waste of time. This data provides you with information regarding what is not happening in a particular phenomenon. Information gained from the experiment can help you to develop new hypotheses to test in the future.

Hope this helps

Tobey

Answer from: Quest

explanation:

i think option no d is the correct answer

40 points and brainliest to anyone who can answer these

Answer from: Quest

Answer: abeexplanation:

1. the question asks the most appropriate, which seems to rule out "all of the above." your choice appears to be the correct one.

2. the protocol described is good for identifying correlation, but not cause and effect. for cause/effect, you need to devise a protocol that will assign the treatment (or not) to groups that have essentially the same "demographics" with respect to all the other variables. your choice regarding control group seems appropriate. random assignment of treatment (choice d) may be appropriate also. (i think you can argue that b and d are just different descriptions of the same method.)

3. d will randomize the birds, but may not guarantee there are 10 in each group. e will do both, so seems the better choice.

comment on question 2

based on the problem statement, it seems clear that confident, attentive drivers are more likely to use daytime running lights. so, the protocol might need to be devised in such a way that the lights would be turned on or off without the driver's knowledge. (an attentive driver will figure it out.) assigning a confident, attentive driver to a group required to drive without running lights might mess with his/her confidence and attentiveness. you don't want your experiment to do that. (nor do you want the experiment to subject a driver to greater risk of accident as a consequence of driving without running lights.) experiments involving human safety are always problematic.

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The results of an experiment do not support the hypothesis that the experiment was designed to test....