A newspaper argued in a recent article that wine and cheese were important for world history and the development of human physiology. A researcher was interested in studying if there is actually a strong positive relationship between wine and cheese consumption. The accompanying table shows a certain country's per capita cheese and wine consumption for several years. These data have a sample correlation coefficient, rounded to three decimal places, of 0.181. Using these data and a = 0.10, test if the population correlation coefficient between the country's per capita consumption of cheese and wine is different from zero. What conclusions can you draw? Click the icon to view the cheese and wine consumption data. What are the correct null and alternative hypotheses? O A. Ho: p#0 Cheese and Wine Consumption - X OB. Ho: P >0 H1 : p = 0 H1: p = 0 O C. Ho: P = 0 OD. Ho: P= 0 Cheese Wine Cheese Wine Hy: p # 0 H1 : p >0 38.3 2.51 35.8 2.04 37.8 2.12 35 2.23 What is the test statistic? 36.9 2.05 34.1 2.15 t= (Round to two decimal places as needed.) 35.9 2.31 34.8 2.32 35.6 2.11 35.4 2.35 What is the p-value? p-value = (Round to three decimal places as needed.) Print Done State the conclusion. Ho. There enough evidence from the sample at a = 0.10 to conclude that p, the population correlation coefficient, is zero. not equal to greater than less than ? Click to select your answer(s). MacBook Air