Answer:
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!
