In a random sample of n = 200 patients, the proportion cured by a new drug was p = 120/200 = 0.6. We would like to determine with 90% confidence whether this provides sufficient evidence that, in the long run, the cure rate of the new drug would be higher than the 51% cure rate of the old drug. That is, we want to: Test Ho: p = 0.51 New drug is no better than the old drug. Versus Ha: p > 0.51 New drug is better than the old drug. Use all digits showing on your calculator in your intermediate calculations but show only the indicated number of digits to the right of the decimal point in your final answer. (a) Critical value from the z table: (b) Test statistic:| (c)Conclusion: O A. Fail to reject Ho. Sample does not provide enough evidence to say that the new drug is better than the old. B. Reject Ho with 90% confidence and conclude that the new drug is better than the old. (d) p-value: Because the p-value is less than 0.01, the sample provides strong evidence that the new drug is better than the old.

In a random sample of n = 200 patients, the proportion cured by a new drug was p = 120/200 = 0.6. We would like to determine with 90% confidence whether this provides sufficient evidence that, in the long run, the cure rate of the new drug would be higher than the 51% cure rate of the old drug. That is, we want to: Test Ho: p = 0.51 New drug is no better than the old drug. Versus Ha: p > 0.51 New drug is better than the old drug. Use all digits showing on your calculator in your intermediate calculations but show only the indicated number of digits to the right of the decimal point in your final answer. (a) Critical value from the z table: (b) Test statistic:| (c)Conclusion: O A. Fail to reject Ho. Sample does not provide enough evidence to say that the new drug is better than the old. B. Reject Ho with 90% confidence and conclude that the new drug is better than the old. (d) p-value: Because the p-value is less than 0.01, the sample provides strong evidence that the new drug is better than the old.

Name: Question HelpIn a random sample of n = 200 patients, the proportion c
Uploaded: 2024-03-20T07:07:00.000Z
Channel: Bartleby
Description: Question HelpIn a random sample of n = 200 patients, the proportion cured by a new drug was p = 120/200 = 0.6. We would like to determine with 90% confidence whether thisprovides sufficient evidence that, in the long run, the cure rate of the new dr

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

10% of all Americans suffer from sleep apnea. A researcher suspects that a lower percentage of those who live in the inner city have sleep apnea. Of the 369 people from the inner city surveyed, 22 of them suffered from sleep apnea. What can be concluded at the level of significance of αα = 0.01? For this study, we should use Select an answer t-test for a population mean z-test for a population proportion The null and alternative hypotheses would be: Ho: ? μ p Select an answer = < ≠ > (please enter a decimal) H1: ? μ p Select an answer > ≠ < = (Please enter a decimal) The test statistic ? z t = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is ? > ≤ αα Based on this, we should Select an answer reject accept fail to reject the null hypothesis. Thus, the final conclusion is that ... The data suggest the population proportion is not significantly smaller than 10% at αα = 0.01, so…
A population has a mean of µ = 20. A sample is selected from this population and a treatment is administered to each individual in the sample. The scores from this sample are summarized as follows: n = 16 ,X = 28 ,s2 = 64. Do the sample data support the conclusion that the treatment has a significant effect? Test with α = .05.
A researcher would like to examine how the chemical tryptophan, contained in foods such as turkey, can affect mental alertness. A sample of n = 9 college students is obtained and each student’s performance on a familiar video game is measured before and after eating a traditional Thanksgiving dinner including roast turkey. The average score dropped by M = 14 points after the meal with SS = 1152 for the difference scores. A. Is there is significant difference in performance before eating versus after eating? Use a two-tailed test with α = .05. SMD = ___________________________ tcritical = ________________________ tcalculated = ________________________ Decision = _______________________ B. Compute r2 to measure the size of the effect. r2 = _____________________________ C. Write a sentence demonstrating how the outcome of the test and the measure of effect size would…
The population of healthy female adults, the mean red blood cell count (RBC) is 4.8 (millions of cells per cubic millimeter of whole blood). A researcher thinks the RBC is underestimated, so she conducts a test of significance using Null Hypothesis: µ ≤ 4.8 vs. Alternative Hypothesis: µ >4.8. If the true mean RBC is 4.75 and the null hypothesis is rejected, out of the four options below, what has occured? Type 1 Error, Type 2 Error, No error, OR can’t tell without knowing the degrees of freedom?
An independent-measures experiment with four treatment conditions has a sample of n = 30 scores in each condition. The T-scores for each of the three conditions is T1 = 32.8, T2 = 22.6, T3 = 39.6, T4 = 11.2. What is SS-Between? (Be sure to round your response to the second decimal place)."
16% of all Americans suffer from sleep apnea. A researcher suspects that a different percentage of those who live in the inner city have sleep apnea. Of the 337 people from the inner city surveyed, 47 of them suffered from sleep apnea. What can be concluded at the level of significance of α= 0.05? a. The test statistic= (please show your answer to 3 decimal places.) b. The p-value = (Please show your answer to 4 decimal places.)
In the US, 42.3% of all people have type O blood, 40.8% have type A blood, 12% have type B blood and 4.9% have type AB blood. A researcher wants to see if the distribution of blood type is different for millionaires. The table below shows the results of a random sample of 897 millionaires. What can be concluded at the significant level of a = 0.1. For this study, we should use [x²GOF-Test Your friend Henry helped you with the null and alternative hypotheses... Ho: The distributions of blood types are the same between the general population and the millionaires. H₁: The distributions of blood types are NOT the same between the general population and the millionaires. You drew 897 samples, and the observed frequencies are recorded below. Please complete the table (round answers to at least 4 decimal places). Blood Type 0 A B AB Observed Frequency 375 The degree of freedom = 366 104 52 The test-statistic for this data = The p-value for this sample= Expected Frequency (Please show your…
The effectiveness of surgery for weight loss reported here found that "The surgery was associated with significantly greater weight loss [than the control group who dieted] through 2 years (61.3 versus 11.2 pounds, P<0.001)." What test could have been used and how would it have been computed?
A study is being conducted to compare vitamin C and zinc to determine which is better at fighting colds. Customers believe vitamin C is better at fighting colds. What are the appropriate hypotheses for this testing scenario? Let μc equal the mean of the effectiveness of vitamin C and μz equal the mean of the effectiveness of zinc. O Ho: Hc - Hz= 0 Ha Hc - Hz > 0 O Ho: Hc - Hz= 0 Ha Mc-Hz 0 o Ho: Xe – xz = 0 Hai Xi — Xz #0
What is the answer of the 7.14 question?