Researchers studying osteoporosis (bone loss) suspected that women over the age of 50 in the United States are diagnosed with the disease more often than women over 50 in Mexico. They took a random sample of 200 women over the age of 50 from each country. Here are the results: Diagnosed with osteoporosis? US Mexico Yes 40 20 No 160 180 Total 200 200 The researchers want to use these results to test Ho: pus – PM = 0 versus H,: pus – PM > 0. Assume that all conditions have been met. What is the P-value associated with these sample results? P-value is greater than or equal to 0.20 0.05 is less than or equal to the P- value < 0.10 0.10 is less than or equal to the P- value < 0.20 O P-value < 0.01 0.01 is less than or equal to the P- value < 0.05

Researchers studying osteoporosis (bone loss) suspected that women over the age of 50 in the United States are diagnosed with the disease more often than women over 50 in Mexico. They took a random sample of 200 women over the age of 50 from each country. Here are the results: Diagnosed with osteoporosis? US Mexico Yes 40 20 No 160 180 Total 200 200 The researchers want to use these results to test Ho: pus – PM = 0 versus H,: pus – PM > 0. Assume that all conditions have been met. What is the P-value associated with these sample results? P-value is greater than or equal to 0.20 0.05 is less than or equal to the P- value < 0.10 0.10 is less than or equal to the P- value < 0.20 O P-value < 0.01 0.01 is less than or equal to the P- value < 0.05

Name: Researchers studying osteoporosis (bone loss) suspected that women ov
Uploaded: 2024-03-20T07:07:00.000Z
Channel: Bartleby
Description: Researchers studying osteoporosis (bone loss) suspected that women over the age of 50 in the UnitedStates are diagnosed with the disease more often than women over 50 in Mexico. They took a randomsample of 200 women over the age of 50 from each coun

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

A geneticist was curious about the relationship between gender and dominant hand. They surveyed a random sample of 500 people. Here is a summary of the responses and the results from a chi-squared test: Chi-square test: Dominant hand vs. gender Men Women Right 207 227 Expected 208.32 225.68 Left 21 27 Expected 23.04 24.96 Ambidextrous 12 - Expected 8.64 9.36 X%3D2.876, DF 2, P-value 0.237 Assume that all conditions for inference were met. At the a = 0.05 significance level, what is the most appropriate conclusion to draw from this test? O This is convincing evidence that the distribution of dominant hand differs between the genders. O This isn't enough evidence to say that the distribution of dominant hand differs between the genders. O This is convincing evidence that dominant hand and gender are not independent. OThey lack evidence to say that dominant hand and gender are not independent. O Gender causes people to be more likely to be left- or right-handed.
age As a labor economist, you would like to measure the effect that an older sibling has on the average level of education for the youngest sibling. You randomly select 137 individuals from t Longitudinal Study of Youth (NLSY) that have an older brother (population 1) and 245 individuals that have an older sister (population 2) and compare the average level of education of the sibling depending on having an older brother or older sister. Which of the following is the best test to use for your hypothesis assuming only the following tests are available? Use "Formula Sheet Fall 2020" if necessary. Select one: O a. A paired sample t-test for the difference in two population means O O O b. Az-test for the difference in two population means c. A t-test for the difference in two population means with unknown but equal variances d. A chi square test for single population variance e. An F-test for the ratio of two population variances Finish
The General Social Survey (GSS) collects data on demographics, eduction and work, among many other characteristics of US residents. Suppose we want to estimate the difference between the average number of hours worked by all Americans with a college degree and those without a college degree. Is there sufficient evidence that there is a significant difference between the average number of hours worked by those Americans with a college degree vs. those Americans without a college degree? Use the following output: Welch Two Sample t-testdata: yes and not = 3.1181, df = 1098.5, p-value = 0.001867alternative hypothesis: true difference in means is not equal to 095 percent confidence interval: 1.011652 4.445822sample estimates:mean of x mean of y 42.81574 40.08701 Using the provided output, find the 95% confidence interval for the difference of the average amount of hours worked for those that have a college degree vs. those that do not have a college degree (ie: for the difference of two…
Pls show complete solution
We are interested in comparing the proportions of men and women who say earning a large salary is very important to them. You surveyed 200 men and 200 women and recorded their answers to the question as “yes” (earning a large salary is very important) or “no” (earning a large salary is not very important). Yes No Total Men 150 50 200 Women 110 90 200 Total 260 140 400 Test the association between sex and the importance of earning a large salary using a z-test. Provide the null and alternative hypotheses, test statistic, p-value, and conclude test with 0.01 signifigance.
2. Given the following table for one way ANCOVA (3 TRTS with 5 observation each). Source SS df MS F TRT 205 155 Error 365 -- Total -- a. Complete the table b. Test for treatment effect. Use Alpha=.05
A new medication is being developed to treat severe nausea and vomiting among chemotherapy patients. The information below was generated from a small sample size (n = 11) and shows the number of times a chemotherapy patient vomited both before and after treatment due to the side effects of chemotherapy. Set up and interpret the results of a sign test at the alpha equals .05 level to determine if there is a difference in symptoms before and after treatment. Chemotherapy Patient Before Treatment After Treatment Difference Sign 1 9 3 2 12 5 3 14 7 4 9 4 5 8 2 6 11 3 7 15 7 8 12 8 9 7 8 10 9 5 11 8 7 A) We fail to reject H0, which states the median difference in the number of vomiting episodes in a day before and after treatment are equal because 1 is less or equal to critical value 1 for a sign test…
In a 4-week study about the effectiveness of using magnetic insoles to treat plantar heel pain, 58 subjects wore magnetic insoles and 40 subjects wore nonmagnetic insoles. The results are shown at the right. At a= 0.06, can you support the claim that there is a difference in the proportion of subjects who feel better between the two groups? Assume the random samples are independent. Complete parts (a) through (e). Do you Feel Better? Magnetic Insoles I Yes 20 I No 38 Nonmagnetic Insoles Yes 17 No 23 (Use a comma to separate answers as needed. Type an integer or a decimal. Round to two decimal places as needed.) Identify the rejection region(s). Select the correct choice below and fill in the answer box(es) within your choice. (Round to two decimal places as needed.) O A. z O B. z> O D. z< C. (c) Find the standardized test statistic. (Round to two decimal places as needed.) (d) Decide whether to reject or fail to reject the null hypothesis Choose the correct answer below.
The authors of the paper "Statistical Methods for Assessing Agreement Between Two Methods of Clinical Measurement" compared two different instruments for measuring a subject's ability to breathe out air.† (This measurement is helpful in diagnosing various lung disorders.) The two instruments considered were a Wright peak flow meter and a mini-Wright peak flow meter. Seventeen subjects participated in the study, and for each subject air flow was measured once using the Wright meter and once using the mini-Wright meter. Subject 1 2 3 4 5 6 7 8 9 Mini- Wright Meter 512 430 520 428 500 600 364 380 658 Wright Meter + 494 395 516 434 476 557 413 442 650 Subject 10 11 12 13 14 15 16 17 Mini- Wright Meter 445 432 626 260 477 259 350 451 Wright Meter 433 417 656 267 478 178 423 427 (a) Suppose that the Wright meter is considered to provide a better measure of air flow, but the mini-Wright meter is easier to transport and to use. If the two types of meters produce different readings but there is…
The recidivism rate for convicted sex offenders is 12%. A warden suspects that this percent is different if the sex offender is also a drug addict. Of the 322 convicted sex offenders who were also drug addicts, 48 of them became repeat offenders. What can be concluded at the a = 0.01 level of significance? a. For this study, we should use z-test for a population proportion V b. The null and alternative hypotheses would be: Ho: ? v Select an answer (please enter a decimal) H1: ? v Select an answer v (Please enter a decimal) c. The test statistic ? v = (please show your answer to 3 decimal places.) d. The p-value = (Please show your answer to 4 decimal places.) e. The p-value is ? V a f. Based on this, we should Select an answer v the null hypothesis. g. Thus, the final conclusion is that ... O The data suggest the population proportion is not significantly different from 12% at a = 0.01, so there is statistically insignificant evidence to conclude that the population proportion of…
Further studies to determine the validity of a hypothesis concerning the occurence of disease? A. Analytic Epidemiology B. Descriptive Epidemiology C. Experimental Epidemiology pick the correct answer.