Enamored with the solitaire game on his new computer, Author A sets out to estimate his probability of winning the game and wins 25 games while losing 192 games. Anxious to outperform Author A, Author B plays 444 games of solitaire and wins 74. Author B wants to know if she is performing significantly different than Author A. The p-value tells us that approximately 8.17% of random samples from processes with the same probability of success would yield a difference in sample proportions as small as -0.051 or smaller or as large or larger than 0.051 by chance alone (assuming the null hypothesis is true). O The p-value tells us that approximately 4.08% of random samples from processes with the same probability of success would not yield a difference in sample proportions as small as -0.051 or smaller by chance alone (assuming the null hypothesis is true). The p-value tells us that approximately 95.9% of random samples from processes with the same probability of success would not yield a difference in sample proportions as small as -0.051 or larger by chance alone (assuming the null hypothesis is true). eTextbook and Media There is strong evidence against the null hypothesis. O True O False The 95% confidence interval was calculated to be (-0.1063, 0.0034). Interpret the 95% confidence interval in the context of the study. O A 95% confidence interval for the difference in their winning probabilities (TA - Te) is (-0.1063, 0.0034), indicating that A's win probability could be as much as 0.1063 smaller than B's or as much as 0.0034 higher than B's. O A 95% confidence interval for the difference in their winning probabilities (TA - Mp) is (-0.1063, 0.0034), indicating that A's losing probability could be as much as 0.1063 smaller than B's or as much as 0.0034 higher than B's. O A 95% confidence interval for the difference in their winning probabilities (TA - Te) is (-0.1063, 0.0034), indicating that A's win probability could be as much as 0.1063 larger than B's or as much as 0.0034 smaller than B's. O A 95% confidence interval for the difference in their winning probabilities (TA - Up) is (-0.1063, 0.0034), indicating that A's losing probability could be as much as 0.1063 larger than B's or as much as 0.0034 smaller than B's