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 0.222. Using these data and a 0.05, 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? OA. Ho: p=0. H₁: p#0 OC. Ho: p=0 H₁: p>0 COD OB. Ho: #0 H₁: p=0 OD. Ho:p>0 H₁: p=0 1111

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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 0.222. Using these data and a = 0.05, 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.
ce
What are the correct null and alternative hypotheses?
OA. Ho: p=0
H₁: p#0
OC. Ho: p=0
H₁: p>0
OB. Ho: p=0
H₁: p=0
O D. Ho p>0
H₁: p=0
Transcribed Image Text: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 0.222. Using these data and a = 0.05, 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. ce What are the correct null and alternative hypotheses? OA. Ho: p=0 H₁: p#0 OC. Ho: p=0 H₁: p>0 OB. Ho: p=0 H₁: p=0 O D. Ho p>0 H₁: p=0
nu
Cheese and Wine Consumption
Cheese
38.6
37.2
36.7
35.2
35.3
Wine
2.94
2.63
2.01
2.14
2.03
Identify the following parameters.
r = (
n =
Cheese
35.5
35
34.9
34.7
35.8
Wine
2.85
2.57
2.48
2.87
2.12
0
Compute the test statistic using Excel, rounding to two decimal places.
Now find the p-value.
Use this comparison to determine whether or not to reject the null hypothesis, then interpret
the decision.
Transcribed Image Text:nu Cheese and Wine Consumption Cheese 38.6 37.2 36.7 35.2 35.3 Wine 2.94 2.63 2.01 2.14 2.03 Identify the following parameters. r = ( n = Cheese 35.5 35 34.9 34.7 35.8 Wine 2.85 2.57 2.48 2.87 2.12 0 Compute the test statistic using Excel, rounding to two decimal places. Now find the p-value. Use this comparison to determine whether or not to reject the null hypothesis, then interpret the decision.
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