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## Statistics

describe interpreting the result from the given P-value.

Deliver an appropriate response.

The federal advice for smog is 12% pollutants per 10,000 volume of air. A metropolitan city is annoying to bring its smog level into federal guidelines. The city comes up with a fresh policy where city employees are to use city transportation to as well as from work. A local environmental group doesn't think the city is doing enough and no real change will take place. An independent agency borrowed by the city, runs its tests and comes up with a P-value of 0.055. What is sensible to conclude about the new strategy?

We can say there is 5.5% casual of seeing the new policy having an effect on smog in the results we observed from natural sampling variation. We arrange the new policy is more effective.

1) There's only a 5.5% chance of seeing the new policy having no effect on smog in the results we observed from natural sampling variation. We determine the new policy is more effective.

2) There is a 5.5% chance of the new policy having no effect on smog.

3) There is a 94.5% chance of the new policy having to effect on smog.

4)  We can say there is a 5.5% chance of sighted the new policy having no effect on smog in the results we observed from natural sampling variation. There is no confirmation the new policy is more effective however we cannot conclude the policy has no effect on smog.

Statistics and Probability, Statistics

• Category:- Statistics and Probability
• Reference No.:- M923469

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