Question 4.1) Let X be a drug against COVID-19. The effectiveness of the drug is equal to the sum ofthe first 7 numbers in your dataset out of 100 total applications. For example, the sum ofthe first 7 numbers in my dataset is equal to 30, it means that the drug X has beeneffective in 30 out of 100 cases. I would like to test the hypothesis that the effectivenessof the drug X is equal to 90%. Obtain the asymptotic distribution of drug effectiveness pand test the two tailed hypothesis at a = 5%;2) Now suppose we have 2 drugs X and Y against COVID-19. The effectiveness of X in100 cases has been found to be equal to the sum of the first 10 numbers in your dataset,while the effectiveness of Y in 100 cases has been found to be equal to the first 8numbers in your dataset. Write down the approximate distribution of the differencebetween sample means. Test the hypothesis that both drugs have the same effectivenessat a = 5%;3) Now suppose that there are three drugs available against COVID-19, X,Y and Z. Peoplehave strict preference for a particular type of drug. We sampled 100 people and we cangroup them into three categories based on their preferences: Group A strictly prefers Xover Y and Z and the number of such people in the sample is equal to the sum of the first5 numbers in your dataset. Group B strictly prefers Y over the other 2 available drugs andthe number of such people in our sample is equal to the sum of the first 7 numbers inyour dataset. And Group C strictly prefers Z over the other 2, and the number of suchpeople in our sample is equal to (100 – number of people in Group A – number of peoplein group B). Test the hypothesis that the proportions of people preferring each drug is thesame at a = 5% [65747668 4 2676234674 664 664 85 6 4 6]

Note: Hi there! Thank you for posting the question. As you have posted multiple questions, as per…

Let X be a drug against COVID-19. The effectiveness of the drug is equal to the sum of the first 7 numbers in your dataset out of 100 total applications. For example, the sum of the first 7 numbers in my dataset is equal to 30, it means that the drug X has been effective in 30 out of 100 cases. I would like to test the hypothesis that the effectiveness of the drug X is equal to 90%. Obtain the asymptotic distribution of drug effectiveness p and test the two tailed hypothesis at a = 5%; Now suppose we have 2 drugs X and Y against COVID-19. The effectiveness of X in

Let X be a drug against COVID-19. The effectiveness of the drug is equal to the sum of the first 7 numbers in your dataset out of 100 total applications. For example, the sum of the first 7 numbers in my dataset is equal to 30, it means that the drug X has been effective in 30 out of 100 cases. I would like to test the hypothesis that the effectiveness of the drug X is equal to 90%. Obtain the asymptotic distribution of drug effectiveness p and test the two tailed hypothesis at a = 5%; Now suppose we have 2 drugs X and Y against COVID-19. The effectiveness of X in

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

For any population, a z-score of -2.00 is a more extreme score than a z-score of +1.00. TRUE OR FALSE
Executives of a supermarket chain are interested in the amount of time that customers spend in the stores during shopping trips. The mean shipping time, μ, spent by customers at the supermarkets has been reported to be 40 minutes, but executives hire a statistical consultant and ask her to determine whether it can be concluded that μ is less than 40 minutes. To perform her statistical test, the consultant collects a random sample of shopping times at the supermarkets. She computes the mean of these times to be 34 minutes and the standard deviation of the times to be 16 minutes. Based on the information, answer the questions below.
A random sample of n1 = 20 winter days in Denver gave a sample mean pollution index x1 = 43. Previous studies show that ?1 = 11. For Englewood (a suburb of Denver), a random sample of n2 = 18 winter days gave a sample mean pollution index of x2 = 36. Previous studies show that ?2 = 15. Assume the pollution index is normally distributed in both Englewood and Denver. Do these data indicate that the mean population pollution index of Englewood is different (either way) from that of Denver in the winter? Use a 1% level of significance. a) What is the value of the sample test statistic? (Test the difference ?1 − ?2. Round your answer to two decimal places.)b) Find (or estimate) the P-value. (Round your answer to four decimal places.)
Executives of a supermarket chain are interested in the amount of time that customers spend in the stores during shopping trips. The mean shopping time, u, spent by customers at the supermarkets has been reported to be 35 minutes, but executives hire a statistical consultant and ask her to determine whether it can be concluded that u is greater than 35 minutes. To perform her statistical test, the consultant collects a random sample of shopping times at the supermarkets. She computes the mean of these times to be 42 minutes and the standard deviation of the times to be 10 minutes. Based on this information, answer the questions below. What are the null hypothesis (H,) and the alternative hypothesis (H,) that should be used for the test? H: u is ? H: u is ? In the context of this test, what is a Type I error? A Type I error is ? fact, u is ? ? v when, in v the hypothesis that u is? v? v. Suppose that the consultant decides to reject the null hypothesis. What sort of error might she be…
Help me please
A 2019 study surveyed Norwegian parents about their children's eating habits and taste sensitivities. We are interested in seeing if there is a relationship between sensitivity to sweetness and emotional overeating. The study reports an F* = 2.34 with dfb 3 and dfw = 96. How many levels of 'sensitivity to sweetness' were used in the study? How many subjects participated in the entire study?
On average, a sample of n = 36 scores will provide a better estimate of the population mean than a sample of n = 49 scores from the same population.
SHOW STEP BY STEP. pls
Assume that a high school principal believes that high number of absences hinders the students' ability to perform on standardized tests. He randomly selects a sample of 9 students who had 5 or more absences in the school year. The average ACT Composite score for this sample is X = 19 with s = 4.9. ACT Composite scores are normally distributed with u = 21.0. Do the data support the claim that the high number of absences hinders the students' ability to perform on standardized tests, using a = .05? Please show the four-step hypothesis test. %3D
2. I surveyed 150 adults in the U.S. and asked them how many hours of TV the watched on average per week. I then ran a regression of # of hours of TV on whether or not they were a college graduate (=1 if yes, =0 if no), their age in years, the number of children in their household, and whether or not they live a cold climate (=1 if latitude is greater than 41.2, =0 otherwise). The results fro the regression are shown in the table below. Estimate p-value College Graduate -0.8 0.003 Age 0.1 0.150 Number of Children 0.10 0.521 Cold Climate 1.8 0.047 Intercept -1.23 0.041 (a) What is the dependent variable in this regression? (b) What are the independent variable(s) in this regression? (c) What is the unit of analysis? (d) What is the sample size? (e) What is one binary variable used in this analysis? (f) What is one ratio variable used in this analysis? (g) What is the predicted number of TV hours watched by a 50 year old, colleg graduate, with no children at home who lives in Arizona…
Time to Complete the Course Right 45 47 50 49 50 50 48 44 Left | 45 | 43 48 47 50 52 | 44 42 Assume a Normal distribution. What can be concluded at the the a = 0.01 level of significance level of significance? For this study, we should use t-test for the difference between two dependent population means a. The null and alternative hypotheses would be: p1 p2 Ні: p1 p2 b. The test statistic t v v = 1.199 (please show your answer to 3 decimal places.) c. The p-value = [1338 your answer to 4 decimal places.) d. The p-value is > va e. Based on this, we should fail to reject f. Thus, the final conclusion is that ... * (Please show v the null hypothesis. O The results are statistically insignificant at a = 0.01, so there is insufficient evidence to conclude that the population mean time to complete the obstacle course with a patch over
A researcher collects data from 65 people to see if there is a relation between anxiety and memory in high school students. The researcher finds the following descriptive statistics: Xbar= 25.5, sX = 4.3, Ybar = 15.6, sY = 3.2, SSX = 198.4, SSY = 1152.3, and SP = 220.4. Test for a significant relation at α =0.05.