Asian Americans are a heterogeneous group often coined as one in national and state estimates of healthdata. Recent studies, however, have shown that some Asian American subgroups are more likely to die earlydue to cardiovascular disease and more likely to report metabolic syndrome. An epidemiologist wants to studythe age of diagnosis of type 2 diabetes among two Asian American subgroups (Asian Indians, Koreans).The researcher had the following two questions:Is the mean age of diagnosis for type 2 diabetes among Asian Indians different than 55 years?Is the mean age of diagnosis of type 2 diabetes different between Koreans and Asian Indians?The epidemiologist should conduct which types of tests to answer the above 2 questions?Nonetwo-sample t test after checking for equal variance and a one sample t-testOne-sample t test and two-sample t test after checking for equal varianceOne-sample t test and ANOVAOne-sample t test and ANOVA

To answer the epidemiologist's questions regarding the age of diagnosis of type 2 diabetes among…

Answered: Asian Americans are a heterogeneous…

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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The Transportation Security Administration (TSA) collects data on wait time at each of its airport security checkpoints. For flights departing from Terminal 3 at John F. Kennedy International Airport (JFK) between 3:00 and 4:00 PM on Wednesday, the mean wait time is 12 minutes, and the maximum wait time is 16 minutes. [Source: Transportation Security Administration, summary statistics based on historical data collected between February 18, 2008, and March 17, 2008.]
1) Soda consumption is very common in the U.S. For the purposes of this question, assume that 30% of the population consumes the equivalent of 3 or more 12 oz. sodas per week (this is the prevalence of the exposure). A large multi-center cohort study was conducted to evaluate the association between soda consumption and risk of diabetes. At baseline, participants were asked about their typical soda consumption, and individuals who reported consuming 3 or more sodas per week were considered exposed. Participants were followed for 10 years, and the following results were obtained: Incident Cases of Diabetes 356 236 Person-Years Contributed 3+ sodas a week 375234 <3 sodas a week 399763 a) Name the appropriate measure of association corresponding to the excess rate of diabetes attributable to soda consumption among subjects who consume 3+ sodas per week. Calculate this measure (shown as a rate, using the correct units), and provide a brief interpretation of your answer b) Calculate the…
Anterior cruciate ligament (ACL) injuries occur most frequently in planting and cutting sports such as basketball, soccer, and volleyball. A sports medicine researcher wants to test if female athletes are more likely to have an ACL injury than males. He surveyed 50 collegiate programs that had both men’s and woman’s volleyball and asked them how many grade 3 ACL tears they had during the past season. Which statistical test would be best to determine if there is a significant difference between groups?
An important measure in the study of contagious infectious diseases is the number of cases directly generated by one previous case. Jessica is an epidemiologist studying the spread of an infectious disease in her country. She claimed that the mean number of cases directly generated by one previous case is now greater than 1.2. A study of 12 randomly selected cases of the disease is conducted and finds the sample mean number of cases directly generated by one previous case to be 1.5 with a sample standard deviation of 0.7. Assume that the population of the number of cases directly generated by one previous case is approximately normally distributed. Complete the parts below to perform a hypothesis test to see if there is enough evidence, at the 0.10 level of significance, to support the claim that u, the mean number of cases directly generated by one previous case, is greater than 1.2. (a) State the null hypothesis H, and the alternative hypothesis H, that you would use for the test.…
You're a healthcare analytics professional working for Pawhuska, Oklahoma's fourth-largest hospital. You're examining the amount of waiting time that patients classified as ES5 (those with ailments that are not life-threatening) spend in the emergency room. You'll make some changes to emergency room procedures if you find that the mean ES5 waiting time is longer than 18 minutes, the industry standard. Based on a sample of 22 ES5 patients, you found an average and standard deviation of waiting times to be 19.2 minutes and 2.4 minutes, respectively. Draw basic conclusions with the CRITICAL VALUE APPROACH with 99% confidence. Р What is the probability that you conclude that no changes in the emergency room are needed when the actual waiting time for ES5 patients is 20 minutes?
We are interested in analysing the effect of the lockout laws introduced in some areas of the Sydney CBD and nearby surrounds on the number of alcohol-related violent incidents. Suppose we have two samples of data on the number of violent incidents in a number of local areas of the Sydney CBD and nearby surrounds. Pubs, hotels and clubs located in a subset of these areas became subject to the lockout laws when they were introduced in 2014. The first sample is from 2010 before the introduction of the lockout laws, and the second is from 2015 after the introduction of the law. The hypothesis we wish to test is that the introduction of the lockout laws reduces violent incidents in the areas in which the lockout laws were put in place. We use a difference-in-difference model on the pooled data from 2010 and 2015. We find the following results: viol_inc hat = 33.21 (5.29) + 12.43lockout (7.01) – 4.19Yr2015 (2.98) – 3.32 (lockout x Yr2015) (1.85) N = 181, R^2 = 0.128 Where: viol_incis the…
IS IT REASONABLE TO ASSUME THIS SAMPLE CAME FROM A NORMAL POPULATION?
At BYU-Idaho there has been a lot of interest in the performance of students in online classes. Generally, administrators are interested to know if there is a difference in the learning of students who take an online course compared to those who take a traditional course. A study was done to see if the grade received in the course is related to the type of course. Researchers collected the grades of randomly selected students who were taking a traditional Business Statistics class and compared those with the grades earned by randomly selected students who were taking an online Business Statistics class. The data are shown in the table below. Grade A B с D F You want to determine if a student's grade and the type of course he or she is enrolled in are independent. Use a level of significance of a = 0.01. State the null and alternative hypothesis for this test. O Ho: Traditional and online courses are not independent. H₂: Traditional and online courses are independent. O Ho: Traditional…
Anterior cruciate ligament (ACL) injuries occur most frequently in planting and cutting sports such aa basketball, soccer, and volleyball. A sports medicine researcher wants to test if female athletes are more likely to have an ACL injury than males. He surveyed 50 collegiate programs that had both men's and woman's volleyball and asked them how many grade 3 ACL tears they had during the past season. Which statistical test would be best to determine if there is a significant diffence between groups? One sample t test Dependent samples t test Independent samples t test ANOVA
Part 1 of 4 A doctor in Oklahoma City wants to know whether the average life span for heart disease patients at four hospitals in the city differ. The data below represents the life span, in years, of heart disease patients from each hospital. Perform an ANOVA test with a 10% level of significance to test whether the average life span of heart disease patients in Oklahoma City differs depending on the hospital that treats them Life Span of Patients Treated at Hospital 1: 8.1, 1.2, 7, 11.5, 21, 2, 15.3, 19.2, 10.5, 15.4, 12.7, 15.3, 12.1, 7.5, 11.4, 16.4, 26.7, 14.6, 1.5, 16.3, 12.6, 0.8, 18.2, 4.2, 9.6, 21, 16.3, 2.7 Life Span of Patients Treated at Hospital 2: 17.6, 11.6, 16.8, 5.2, 6.7, 3.2, 13.8, 12.5, 0.9, 6, 14.3, 1.8, 14.8, 10, 5.8, 15.2, 10, 3.7, 11.4, 21.6, 12.9, 0.5, 9.2, 13.9, 10.9 Life Span of Patients Treated at Hospital 3: 8.5, 2.3, 11, 7.4, 14.8, 5.8, 11, 3.4, 10.9, 1.1, 5.9, 21.6, 12.5, 0.1, 15.5, 15.4, 0.8, 7.7, 5.6, 12, 7.1 Life Span of Patients Treated at Hospital 4:…
Color blindness, or dyschromatopsia, is a form of genetic deficiency in color perception. The condition is much more prevalent among males than females, pointing to a genetic connection with the X chromosome. The frequency of dyschromatopsia in the Caucasian American male population is about 7%. However, it is thought that this proportion might be smaller among males of other ethnicities. We want to estimate the proportion of Asian American males who are color-blind. How large a sample size do we need in order to obtain a 95% confidence interval with a margin of error no greater than 5%, or 0.05? Use 0.5 for p̂.
The Wall Street Journal asked Concur Technologies, Inc., an expense management company, to examine data from 8.3 million expense reports to provide insights regarding business travel expenses. Their analysis of the data showed that New York was the most expensive city. The following table shows the average daily hotel room rate (*) and the average amount spent on entertainment (y) for a random sample of 9 of the 25 most-visited U.S. cities. These data lead to the estimated regression equation ŷ = 17.49 +1.0334x. For these data SSE = 1541.4. Click on the datafile logo to reference the data. Use Table 1 of Appendix B. DATA file City Boston Denver Nashville New Orleans Phoenix San Diego San Francisco San Jose Room Rate ($) 148 96 91 110 90 102 136 90 82 Tampa a. Predict the amount spent on entertainment for a particular city that has a daily room rate of $89 (to 2 decimals). $ Entertainment ($) 161 105 101 142 ***** b. Develop a 95% confidence interval for the mean amount spent on…

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