A certain type of legal proceeding has three possible outcomes: in favor of party A, in favor of party B, or not in favor of eit
her party. The outcomes are expected to be 40 percent, 20 percent, and 40 percent, respectively. A random sample of 40 cases is selected from a certain judge to investigate whether the judgeâs outcomes are consistent with the expected outcomes. A chi-square goodness-of-fit test is conducted, and the value of the chi-square test statistic is Ï2=9.19 with a corresponding pâvalue of 0.01. Assuming the conditions for inference were met, which of the following is the correct interpretation of the pâvalue? a. There is a 1 percent chance that the company's claim is correct.
b. If the null hypothesis is true, there is a 1 percent chance that the company's claim is correct.
c. If the null hypothesis is true, there is a 1 percent chance of obtaining a chi-square value of 9.19.
d. If the null hypothesis is true, there is a 1 percent chance of obtaining a chi-square value of at least 9.19.
e. There is a 1 percent chance of obtaining a chi-square value of at least 9.19.
If the null hypothesis is true, there is a 1 percent chance that the company’s claim is correct.
Step-by-step explanation:
The p-value tells us the likeliness of our data occurring under the null hypothesis. So basically it tells us the chances of the claim being true, if we assume the null hypothesis is correct.
