A reporter for a large sports television network wants to determine if "homefield advantage" is dependent upon the sport. He col
lects data from a sample of games played in the four major professional sports in the country, and he records the number of home team wins and visiting team wins for these games. Use the 0.10 significance level to test the claim that home/visitor team wins are dependent on the sport. Find the value of the P-VALUE that would be used in a hypothesis test of the claim.
with 0.10 level of significance the P-VALUE that would be used in the hypothesis claim is 0.05%
Step-by-step explanation:
In hypothesis testing in statistics, we can say that the p-value is a probability of obtaining test results when we assume that the null hypothesis is correct.
The p-value is the probability that the null hypothesis is true.
A p-value less than or equals to 0.05 is statistically significant. It shows strong evidence against the null hypothesis, meaning there is less than a 5% probability the null is correct and clearly we can say that the results are random.
The first thing we must do for this case is to define variables. We have then: x = Tim's age Now we write the equation: x + 7 = 3 (x-19) Answer: Tim's age in 7 years will be three times what it was 19 years ago: x + 7 = 3 (x-19)
