After the political ad campaign, pollsters check the dictator's negatives. They test the hypothesis that the ads produced no change against the alternative that the negatives are now below 70% and find a P-value of 0.291. Which conclusion is appropriate? Explain.

Step-by-step explanation:

Hello!

The hypothesis tested where that "adds produce no change" symbolically p=0.7 versus "negatives are below 70%" symbolically: p < 0.70

So the hypothesis tested where:

H₀: p=0.7

H₁: p < 0.70

After conducting the analysis the p-value was 0.291

To decide over a hypothesis test using the p-value you have to compare it with the significance level of the test. The decision rule is the following:

If p-value > α, the decision is to not reject the null hypothesis.

If p-value ≤ α, the decision is to reject the null hypothesis.

Let's say the significance level of the test is α= 0.05

Using this level the decision is to nor reject the null hypothesis.

This means that after the political ad campaign the proportion of negatives hasn't changed.

I hope it helps!

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