Answer:
Option 3 - There 's a 3% chance that a loaded die could randomly produce the results we observed, so it's reasonable to conclude that the die is fair.
Explanation:
Given : The seller of a loaded die claims that it will favor the outcome 6.
We don’t believe that claim, and roll the die 200 times to test an appropriate hypothesis.
To find : Which conclusion is appropriate? Explain.
Solution :
Our P-value turns out to be 0.03.
i.e.
![P=0.03=3\%](https://img.qammunity.org/2020/formulas/mathematics/college/l5pgocof33svw27f26gxghwd6stdl5athz.png)
As die favors 6 (when no favoring, we have 1 chance in 6 to roll a 6).
The claim is either the null hypothesis or the alternative hypothesis.
i.e. Null hypothesis
![H_o: p=(1)/(6)](https://img.qammunity.org/2020/formulas/mathematics/college/905a0izdzmn8urfxf8knqzc8b0xcnav3ph.png)
Alternative hypothesis
![H_a: p>(1)/(6)](https://img.qammunity.org/2020/formulas/mathematics/college/uqc7y4sw0bp93hgtroev1mn23xf87xrtiu.png)
The P-value is the probability of obtaining the value of the test statistic, when the hypothesis is true.
In this case,
There is a 3% chance of obtaining a sample proportion higher than
, when the die is not loaded or fair.
So, option 3 is correct.
There 's a 3% chance that a loaded die could randomly produce the results we observed, so it's reasonable to conclude that the die is fair.