Part 3: Read each of the following studies, construct the appropriate 2x2 table, calculatethe measure of association, state the study design, and state the interpretation of theresults.1. An investigator wanted to determine whether playing video games constantly (chronicvideogamer: CVG) was associated with carpal tunnel syndrome (CTS). By interviewingmales ages 15-30 in a Midwestern city, the researchers located 400 males with CTS. Atotal of 800 additional males without CTS were selected at random and interviewed. Ofthose with CTS, 59 reported not being a CVG. 465 control males reported being a CVG.Construct the appropriate 2x2 table and calculate the odds ratio between chronicvideogaming and carpal tunnel syndrome.2x2 tableOdds RatioPredictions: On Accessibility: InvestigateOE99+37M3HIFocus44°F @¹710/

Given that, by interviewing males ages 15-30 in a Midwestern city , there are 400 males with CTS. A…

Answered: 1. An investigator wanted to determine…

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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TOR is free and open-source web browser (https://www.torproject.org/) enabling anonymous communication. A researcher wanted to learn about how many College students have heard of the TOR web browser. She randomly selected 234 LaGuardia students and found that 21 have heard of the TOR web browser. She concluded that approximately 9% of LaGuardia students have heard of TOR. Is this an experimental or observational study? Is this an observational studyor an experiment? If it is an experiment, list the explanatory and response variables. If it is an observational study, list the sample and the population. State the research question of this study. If it is an experiment, list the explanatory and response variables. If it is anobservational study, list the sample and the population.
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
If a hurricane was headed your way, would you evacuate? The headline of a press release states, "Thirty-two Percent of People on High-Risk Coast Will Refuse Evacuation Order, Survey of Hurricane Preparedness Finds." This headline was based on a survey of 4,625 adults who live within 20 miles of the coast in high hurricane risk counties of eight southern states. In selecting the sample, care was taken to ensure that the sample would be representative of the population of coastal residents in these states. In USE SALT (a) Use this information to estimate the proportion of coastal residents who would evacuate using a 98% confidence interval. (Round your answers to three decimal places.) (b) Write a few sentences interpreting the interval and the confidence level associated with the interval. We are % confident that the proportion of all coastal residents who -Select-- v evacuate is within the confidence interval. If we were to take a large number of random samples of size 4,625, % of the…
This experiment examines the performance, as measured by the number of errors made, on a motor skills task. 24 subjects, 12 young and 12 old, were assigned to either an easy or hard motor skills task. There were 2 factors in the study: age (young/old) and difficulty of the motor skills task (easy/hard). The number of errors made on the motor skills task was recorded for each person and is presented in the table below. Null and Alternative Hypotheses: H0: There is not an interaction between young and old H0: µYoung = µOld H1: There is an interaction between young and old H1: µYoung ≠ µOld H0: There is not an interaction between easy and hard H0: µEasy = µHard H1: There is an interaction between young and old H1: µEasy ≠ µHard H0: There is not an interaction between age and difficulty H0: µAge = µDifficulty H1: There is an interaction between age and difficulty. H1: µAge ≠ µDifficulty My question: Report the results of the hypothesis tests below. Be sure to express the results in the…
In an article entitled “Bucket-Handle Meniscal Tears of the Knee: Sensitivity and Specificity of MRI signs,” Dorsay and Helms (A-6) performed a retrospective study of 71 knees scanned by MRI. One of the indicators they examined was the absence of the “bow-tie sign” in the MRI as evidence of a bucket-handle or “bucket-handle type” tear of the meniscus. In the study, surgery confirmed that 43 of the 71 cases were bucket-handle tears. The cases may be cross-classified by “bow-tie sign” status and surgical results as follows: Tear Surgically Confirmed Tear Surgically Confirmed As Not Present Total Positive Test (absent bow-tie sign) 38 10 48 Negative Test (bow-tie sign presence) 5 18 23 Total 43 28 71 Source: Theodore A. Dorsay and Clyde A. Helms, “Bucket-handle Meniscal Tears of the Knee: Sensitivity and…
“Poor quality medicines” is a term inclusive of counterfeit, substandard, and degraded medicines. In a study of 225 medicines with questionable quality, the following data was obtained: 90 were found to be counterfeit, 80 are substandard, and 68 are degraded. 12 were also reported to be counterfeit and substandard, 10 were counterfeit and degraded, and 14 were substandard and degraded. There are 5 medications that had all three problems. What is the probability that a randomly selected medication in this study belongs to only counterfeit? P(Counterfeit) = Round to two decimal places What is the probability that a randomly selected medication in this study belongs to only substandard? P(Substandard) = Round to two decimal places What is the probability that a randomly selected medication in this study belongs to only degraded? P(Degraded) = Round to two decimal places What is the probability that a randomly selected medication in this study does not have…
Part 1 of 4 The restaurants of a fast food chain are primarily located in three regions of Arizona. The CEO of the chain wants to know if the average monthly revenue of the restaurants in each region are equal. The monthly revenues (in thousads of dollars) for this past month of the restaurants in each of the three regions are given below. Conduct an ANOVA test using a 5% level of significance to determine whether or not the average monthly revenues in the three regions are equal. Monthly Revenues of Restaurants in Region 1: 179, 183.3, 156.8, 155.1, 253, 105.4, 219, 134.3, 119.9, 193.1, 188.5, 188.4 Monthly Revenuse of Restaurants in Region 2: 158.7, 175.2, 187.8, 187.1, 118.1, 179.5, 195.1, 199.7, 349.6, 226.5, 253.7, 287.4, 172.8, 290.5, 149 Monthly Revenuse of Restaurants in Region 3: 215.4, 199.8, 360.7, 273, 250, 214.2, 144.5, 165, 137, 187.6 Step 1: State the null and alternative hypotheses. Ho: P1 = P2 = H3 Ha: At least one mean isn't equal to the other means v Part 2 of 4 Step…
A researcher is studying the effects of his newly created lens on vision. He samples 9 people with poor vision and measures their visual distance (in feet) with the lens and then without the lens. Did people’s vision with the lens differ from their vision without? Participant # With Lens Without Lens 1 8 14 2 6 17 3 9 12 4 7 11 5 5 12 6 9 18 7 8 13 8 9 7 9 7 13 What kind of analysis will you use? Why? State the null and alternative hypothesis. Check your assumptions. Explain why each of them are or are not met. Sketch a distribution and shade the rejection region(s), including the corresponding critical value(s). Using R, calculate your test statistic and interpret the results of your test. (Don’t forget your 95% confidence interval and screenshots of your work!) What do you conclude about the null hypothesis? Are there significant differences?
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…
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?
In an article entitled “Bucket-Handle Meniscal Tears of the Knee: Sensitivity and Specificity of MRIsigns,” Dorsay and Helms (A-6) performed a retrospective study of 71 knees scanned by MRI. One ofthe indicators they examined was the absence of the “bow-tie sign” in the MRI as evidence of abucket-handle or “bucket-handle type” tear of the meniscus. In the study, surgery confirmed that 43 ofthe 71 cases were bucket-handle tears. The cases may be cross-classified by “bow-tie sign” status andsurgical results as follows:Tear SurgicallyConfirmed (D)Tear Surgically Confirmed AsNot Present ð Þ D TotalPositive Test(absent bow-tie sign) (T)38 10 48Negative Test(bow-tie sign present) ð Þ T5 18 23Total 43 28 71Source: Theodore A. Dorsay and Clyde A. Helms, “Bucket-handle Meniscal Tears of the Knee: Sensitivityand Specificity of MRI Signs,” Skeletal Radiology, 32 (2003), 266–272.(a) What is the sensitivity of testing to see if the absent bow tie sign indicates a meniscal tear?(b) What is the…
Borderline personality disorder (BPD) is a psychological illness marked by an ongoing pattern of varying moods, self-image, and behavior. A psychologist wants to evaluate the effectiveness of dialectical behavior therapy (DBT) on BPD in a two month study. The psychologist randomly selected 500 people who have BPD to participate in a study. The 500 participants were divided into two groups based on gender. The first group, contained 344 females, they were given medication along with DBT therapy. The second group were comprised of 156 males, they received medication alone. At the end of the two month study, the psychologist administered a standard test to evaluate the symptoms of BPD. It was found that the group that received the DBT therapy along with the medication had about the same level of improvement in symptoms as the group that received the medication alone. The psychologist concluded that there is no evidence that DBT therapy is effective at improving the symptoms of Borderline…

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