Beer die" is a table-based drinking game that, shortly before COVID, had taken over the Ann Arbor party scene; in this game, a well-thrown die scores a point. John knows from experience that Erik, his beer die partner, scores a point on only 30% of his throws. While walking along Hill Street to try to find a better partner, he stops to watch Dinesh playing beer die at a house party. Across a few rounds of the game, Dinesh scores a point on 17 of 40 throws. What should John conclude about his hypothesis that Dinesh scores on more than 30% of his throws against these opponents at the 1% significance level?

Group of answer choices

We cannot conclude Dinesh's scoring probability exceeds 30% because we obtained a p-value of 0.042

We cannot conclude Dinesh's scoring probability exceeds 30% because we obtained a p-value of 0.046

We cannot conclude Dinesh's scoring probability exceeds 30% because we obtained a p-value of 0.055

We can conclude Dinesh's scoring probability exceeds 30% because we obtained a p-value of 0.042

We can conclude Dinesh's scoring probability exceeds 30% because we obtained a p-value of 0.046

We can conclude Dinesh's scoring probability exceeds 30% because we obtained a p-value of 0.055