What is the relative risk for the association between men and women vs COVID-19 infection? What do you conclude? COVID +Women200Men900For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac).BIUSParagraphArialdAVEX² X₂EXE 图王图 <> {}10pt>¶¶<?KK:!!!>+]IABCVCOVID -750500AVEP99VΩIx

Data is given for Men and women, vs Covid infection ( Covid positive and Covid negative We have to…

Answered: What is the relative risk for the…

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

An epidemiologist found five cases of “big toe cancer” in the Yukon Territory. Because there were only a few cases, the epidemiologist decided to conduct a matched case-control study to determine whether shoe size larger than 9 is a risk factor for big toe cancer. Cases were individually matched to one control for daily activity, history of athlete’s foot, and history of ingrown toenails. The following data were gathered: Shoe size > 9 Pair Case Control 1 Yes No 2 No No 3 No Yes 4 Yes Yes 5 No Yes Compute the proper measure of association. Interpret your results. If you were to investigate a rare cancer in Lynchburg, where might you look for data? What would be necessary legally and ethically to be able to utilize this data set(s)? Submit your thread by 11:59 p.m. (ET) on Thursday of Module/Week 3, and submit your replies by 11:59 p.m. (ET) on Sunday of the same module/week. 1
A research team is interested in the effect of Parent-Child Interaction Therapy (PCIT) in reducing children’s disruptive behaviors for children with disruptive behavior disorders (DBD). The research team recruited 12 families with a child with DBD and interviewed the parents about the number of disruptive behaviors the child has at home. After three weeks' therapy, the research interviewed again about the child's disruptive behaviors. What is the research question? What is/are the variable(s)? Are they categorical or continual variables? What statistical test can be used to answer the research question?
An ANOVA would help establish a cause-effect relationship true or false?
Since this research focuses on sleep habits in college students and its effect on mental health, we have proposed the research question to be what the prevalence of college student's mental health issues are due to poor sleeping habits.Previous research has shown that anxiety and depression can be two indicators of poor sleep habits in college students (Becker et al., 2018). As mentioned before, college students are also at risk of developing poor sleep habits because, as freshmen, they transition into a more significant workload than they are accustomed to doing. They are also given more freedom with their time. So, we predict a relationship between mental health and low amounts of sleep-in students. In contrast, the alternative outcome is that there will be no mental health problems arising as students lose sleep for long periods. Since getting good sleep allows us to function better throughout our days, we will likely see the impact bad quality and quantity of sleep will have on…
You think that there might be a relationship between stress for Middle Schoolers and the number of after-school activities that the student participates in. Conduct an ANOVA with an 8-step hypothesis on the following data to find if there if there is a significant relationship occurring. # of after school activities Stress Scores 0 1 0 2 0 8 1-2 3 1-2 10 1-2 4 1-2 2 1-2 6 3 or more 9 3 or more 8 3 or more 3
Researchers investigate how the presence of cell phones influence the quality of human interaction. Subjects are randomly selected from a population and divided into an experimental group that is asked to leave their phones in the front of the room and a control group that are not asked to leave their cell phones at the front of the room. Subjects are left alone for 10 minutes and then asked to take a survey designed to measure quality of interactions they had with others in the experiment. What statistical test is appropriate?
This research was conducted with Korean adolescents in the Los Angeles area. Would you be willing to generalize the results of this study to Korean adolescents who live in other regions of the country? Why or why not.
A small pilot study is run to compare a new drug for chronic pain to one that is currently available. Participants are randomly assigned to receive either the new drug or the currently available drug and to report improvement in pain on a 5-point ordinal scare: 1= pain is much worse,2=pain is slightly worse,3=no change,4=pain improved slightly,5= pain much improved.Is there a significance difference in self reported improvement in pain? Use the Mann-Whitney U test with a 5% level of significance. New Drug: 4 5 3 3 4 2 Standard Drug: 2 3 4 1 2 3
A small pilot study is run to compare a new drug for chronic pain to one that is currently available. Participants are randomly assigned to receive either the new drug or the currently available drug and report improvement in pain on a 5-point ordinal scale: 1=Pain is much worse, 2=Pain is slightly worse, 3= No change, 4=Pain improved slightly, 5=Pain much improved. Is there a significant difference in self-reported improvement in pain? Use the Mann-Whitney U test with a 5% level of significance. Please show work. New Drug: 4 5 3 3 4 2 Standard Drug: 2 3 4 1 2 3
Researchers examine the association between the fluoridation of water and the prevention of tooth decay by comparing the prevalence of tooth decay in countries that have fluoridated water with the prevalence in countries that do not. Is this a randomized experiment or an observational study? Assume that tooth decay was seen to be less common in countries with fluoridated water. Could this result be due to confounding?
Can eating a yogurt a day cause people to lose weight? In a study investigating this: (1) What is the explanatory variable? (2) What is the response variable?
In study A, explain why the researchers adjusted “BMI and initial and changes in diet and lifestyle covariates” when analyzing the association between sugary beverage intake and diabetes risk? Objective: We evaluated the associations of long-term changes in consumption of sugary beverages (including sugar-sweetened beverages and 100% fruit juices) and artificially sweetened beverages (ASBs) with subsequent risk of type 2 diabetes. Research design and methods: We followed up 76,531 women in the Nurses' Health Study (1986-2012), 81,597 women in the Nurses' Health Study II (1991-2013), and 34,224 men in the Health Professionals' Follow-up Study (1986-2012). Changes in beverage consumption (in 8-ounce servings/day) were calculated from food frequency questionnaires administered every 4 years. Results: During 2,783,210 person-years of follow-up, we documented 11,906 incident cases of type 2 diabetes. After adjustment for BMI and initial and changes in diet and lifestyle covariates,…

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS