Hi, I need an answer for Parts A to D. I would like to know why the P-value is different than mine?
Posted: Sat Jul 02, 2022 10:15 pm
Hi, I need an answer for Parts A to D. I would like to know whythe P-value is different than mine?
Beryllium disease: Beryllium is an extremely lightweight metal that is used in many industries, such as aerospace and electronics. Long-term exposure to beryllium can cause people to become sensitized. Once an individual is sensitized, continued exposure can result in chronic beryllium disease, which involves scarring of the lungs. In a study of the effects of exposure to beryllium, workers were categorized by their duration of exposure (in years) and by their disease status (diseased, sensitized, or normal). The results were as follows: Diseased Sensitized Normal Send data to Excel Part: 0 / 4 Duration of Exposure <1 1 to <5 9 12 7 19 80 145 Test the hypothesis of independence. Use the α = 0.10 level of significance and the P-value method with the TI-84 Plus calculator. What do you conclude? Part 1 of 4 ≥5 19 15 204 (a) State the null and alternate hypotheses. Ho: Beryllium exposure and disease status H₁: Beryllium exposure and disease status (Choose one) ▼ independent. (Choose one) ▼ independent. & E
Part 2 of 4 (b) Find the P-value. Round your answer to at least four decimal places. The P-value is 0.9544 Correct Answer: The P-value is 0.0327. Part 3 of 4 (c) Determine whether to reject Ho. Do not reject the null hypothesis Ho. Part: 4 / 4 Part 4 of 4 (d) State a conclusion. There is not (X) ▼ enough evidence to conclude that beryllium exposure and disease status are not independent.
Beryllium disease: Beryllium is an extremely lightweight metal that is used in many industries, such as aerospace and electronics. Long-term exposure to beryllium can cause people to become sensitized. Once an individual is sensitized, continued exposure can result in chronic beryllium disease, which involves scarring of the lungs. In a study of the effects of exposure to beryllium, workers were categorized by their duration of exposure (in years) and by their disease status (diseased, sensitized, or normal). The results were as follows: Diseased Sensitized Normal Send data to Excel Part: 0 / 4 Duration of Exposure <1 1 to <5 9 12 7 19 80 145 Test the hypothesis of independence. Use the α = 0.10 level of significance and the P-value method with the TI-84 Plus calculator. What do you conclude? Part 1 of 4 ≥5 19 15 204 (a) State the null and alternate hypotheses. Ho: Beryllium exposure and disease status H₁: Beryllium exposure and disease status (Choose one) ▼ independent. (Choose one) ▼ independent. & E
Part 2 of 4 (b) Find the P-value. Round your answer to at least four decimal places. The P-value is 0.9544 Correct Answer: The P-value is 0.0327. Part 3 of 4 (c) Determine whether to reject Ho. Do not reject the null hypothesis Ho. Part: 4 / 4 Part 4 of 4 (d) State a conclusion. There is not (X) ▼ enough evidence to conclude that beryllium exposure and disease status are not independent.