Two surgical procedures are widely used to treat a certain type of cancer. To compare the success rates of the two procedures, random samples of the two types of surgical patients were obtained and the numbers of patients who showed no recurrence of the disease after a 1-year period were recorded. The data are shown in the table. How large a sample would be necessary in order to estimate the difference in the true success rates to within 0.10 with 95% confidence interval for population proportion? number of successes Procedure A |100 95 Procedure B 100 97 n1=n2=21 n1=n2=192 n1=n2=29 n1=n2=30

Two surgical procedures are widely used to treat a certain type of cancer. To compare the success rates of the two procedures, random samples of the two types of surgical patients were obtained and the numbers of patients who showed no recurrence of the disease after a 1-year period were recorded. The data are shown in the table. How large a sample would be necessary in order to estimate the difference in the true success rates to within 0.10 with 95% confidence interval for population proportion? number of successes Procedure A |100 95 Procedure B 100 97 n1=n2=21 n1=n2=192 n1=n2=29 n1=n2=30

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question #7
The surgical procedures are widely used to treat a certain type of cancer. To compare the success rates of the two procedures, random samples of the two types of surgical patients were obtained and the numbers of patients who showed no recurrence of the disease after a 1-year period were recorded. The data are shown in the table. How large a sample would be necessary in order to estimate the difference in the true success rates to within 0.10 with 95% reliability? n Number of Successes Procedure A 100 85 Procedure B 100 89
Find the critical value, for a 90% confidence when the sample size is 22
A marketing study with a random sample of 400 results in 160 subjects reacting positively to the proposed product. Determine the 95% confidence interval for the population proportion.
Approximately 58% of all people are able to wink with both eyes. Is this percent different for people who wear glasses? A researcher tests 319 people who wear glasses and found that 204 could wink with both eyes. What can be concluded at the αα = 0.05 level of significance? For this study, we should use Select an answer z-test for the difference between two population proportions t-test for a population mean z-test for a population proportion t-test for the difference between two dependent population means t-test for the difference between two independent population means The null and alternative hypotheses would be: H0:H0: Select an answer μd p1 p μ1 μ Select an answer ≥ = ≠ ≤ H1:H1: Select an answer μ μ1 p p1 μd Select an answer < ≠ > = The test statistic ? z t = (round to 3 decimal places) The p-value = (round to 4 decimal places) The p-value is ? > ≤ αα. Based on this, we should Select an answer accept reject fail to reject the null hypothesis. Explain…
A researcher surveyed 12 men who lost their fathers earlier in their lives. His survey included the age of the subjects when their fathers died and their confidence that they would someday be happily married themselves (100 point scale – higher score = more confidence). The results are shown below. Mx=15 My =60 SSx=348 SSy=5198 SPxy=933 Age Confidence Rating 12 34 8 30 11 89 21 69 15 55 7 38 18 78 23 66 22 89 19 79 9 35 15 58 Can you estimate a confidence rating for a man who lost his father at 30 years old? Why or why not?
For a 95% confidence interval and n=21 give the Chi-squared right value.
A researcher surveyed 12 men who lost their fathers earlier in their lives. His survey included the age of the subjects when their fathers died and their confidence that they would someday be happily married themselves (100 point scale – higher score = more confidence). The results are shown below. Mx=15 My =60 SSx=348 SSy=5198 SPxy=933 Age Confidence Rating 12 34 8 30 11 89 21 69 15 55 7 38 18 78 23 66 22 89 19 79 9 35 15 58 The effect size is equal to _____________ . This means it is a ______________ effect.
while estimates vary, one website indicated that approximately 44% of US citizens have type O blood. A statistics class tested this claim by having students identify their blood types. In a sample of 64 students, 26 indicated their blood type to be type O. At a=.01, test that the percentage of US citizens with type O blood is less than 44%. The hypotheses for this situation are:
A study would like to investigate the risk of lung cancer in url. area and rural area. Assume the proportion of urban residents with lung cancer is p1, and the proportion of rural area residents with lung cancer is p2. If it is found that 20 of 200 adults in an urban community have lung cancer and 10 of 150 adults in the rural community have lung cancer. Find the 95% confidence interval for the difference in the proportions. Would you conclude that p1 is greater than p2? Select all correct answers. O "O" is not in the interval (C.I) O Yes, we can conclude p1 is greater than p2. O "0.1" is in the interval (C.I) O "O" is in the interval (C.I) Not enough information is given. O (-0.02431, 0.090972) O (21.48721, 22.90809) O No, we can't conclude p1 is greater than p2. O "0.1" is not in the interval (C.I) (-1.21908, 2.64790) O (-19.20998, -17.21458) Previous hp
Please let me know if I calculated relative risk correctly. Thank you for your assistance.
What is the odds ratio for a study with a logistic regression coefficient -0.2524? 0.78 1.00 -0.78 -2524