Question

In: Nursing

Suppose that we want to determine whether or not amount of light exposure is linked to...

Suppose that we want to determine whether or not amount of light exposure is linked to depression. We identify 5,000 participants across the United States with no intention of moving to a different permanent residence within the next two years and classify them as living in an area with high or low light exposure. We exclude those who are experiencing depression symptoms at baseline. We then follow them up for two years and determine whether they have experienced depression since baseline. There were 1500 participants residing in low-light areas and 3500 participants living in high-light areas. Of those in low-light areas, 500 participants experienced depression, and of those in high-light areas, 500 participants experienced depression. Assume the exposure is low-light. What type of study is this and which measure of association would be more useful in this case?

Solutions

Expert Solution

Light is used to treat seasonal affective disorder. Sensitivy to light is associated with depression. It causes depression,anxiety,pain,high blood pressure,migraine head ache and panic attack. Light at night may contribute to depresssion and suicidal thoughts and suppressing sleep signals.
Photophobia:
​ It is a symptom of abnormal intolerance to vissual perception of light..Patient may experience different type of conditions and problems and skin diseases..it can affect their optic nerve and nervous system.
​    There fore in America most of people suffer from severe and painful sensitivity to light..Over 40millions people in the US for medical reasons are very sensitive to light..especially the brightness of sun and glare..Due to this millions of people suffer from magraine head ache and depression in USA.
​ The good news is that help available for psychological and social counselling and other programs.
​ Measures:
​    Electromyography was used to measure subjects and serving a function of biological protection is useful. Sunglasses outside,of course are fine blepharospasm to wearing FL-41 sunglasses for two weeks will be useful among patients. Be sure glasses block blue-green..
  


Related Solutions

Suppose we want to test whether or not three means are equal. We want to perform...
Suppose we want to test whether or not three means are equal. We want to perform this test with a 2% significance level. If we perform an ANOVA test, what is the probability of the test producing accurate results (avoiding a Type I error)? Suppose we, instead, run three separate hypothesis tests (t-tests), each with 2% significance level. Mean 1 = Mean 2 Mean 1 = Mean 3 Mean 2 = Mean 3 What is the probability that all three...
Suppose we want to test whether or not three means are equal. We want to perform...
Suppose we want to test whether or not three means are equal. We want to perform this test with a 2% significance level. If we perform an ANOVA test, what is the probability of the test producing accurate results (avoiding a Type I error)? Suppose we, instead, run three separate hypothesis tests (t-tests), each with 2% significance level. Mean 1 = Mean 2 Mean 1 = Mean 3 Mean 2 = Mean 3 What is the probability that all three...
Suppose we want to test whether or not three means are equal. We want to perform...
Suppose we want to test whether or not three means are equal. We want to perform this test with a 10% significance level. If we perform an ANOVA test, what is the probability of the test producing accurate results (avoiding a Type I error)? Suppose we, instead, run three separate hypothesis tests (t-tests), each with 10% significance level. Mean 1 = Mean 2 Mean 1 = Mean 3 Mean 2 = Mean 3 What is the probability that all three...
Suppose we want to test whether or not three means are equal. We want to perform...
Suppose we want to test whether or not three means are equal. We want to perform this test with a 2% significance level. If we perform an ANOVA test, what is the probability of the test producing accurate results (avoiding a Type I error)? Suppose we, instead, run three separate hypothesis tests (t-tests), each with 2% significance level. Mean 1 = Mean 2 Mean 1 = Mean 3 Mean 2 = Mean 3 What is the probability that all three...
Suppose we want to test whether or not three means are equal. We want to perform...
Suppose we want to test whether or not three means are equal. We want to perform this test with a 7% significance level. If we perform an ANOVA test, what is the probability of the test producing accurate results (avoiding a Type I error)? Suppose we, instead, run three separate hypothesis tests (t-tests), each with 7% significance level. Mean 1 = Mean 2 Mean 1 = Mean 3 Mean 2 = Mean 3 What is the probability that all three...
Suppose we are interested in studying whether exposure to a pesticide increases the risk of prostate...
Suppose we are interested in studying whether exposure to a pesticide increases the risk of prostate cancer. Assume that 20% of controls are exposed to the pesticide and we wish to detect an odds ratio of 2.7 from the exposure. Note that p2 = 0.2 and we need to calculate p1. How many cases and how many controls are needed in your case-control study?
the manager of a candy supply store, and you want to determine whether the mean amount...
the manager of a candy supply store, and you want to determine whether the mean amount of candy contained in 5-ounce bag purchased from a nationally known refiner is actually 5 ounces. You know from the refiner's specifications that the amount of candy per bag is normally distributed with the standard deviation of 0.25 ounces. You select a random sample of 30 bags, and the mean amount of candy per 5-ounce bag is 5.10 ounces. What are the hypotheses that...
Suppose you own a factory. You want to determine whether the level of illumination on the...
Suppose you own a factory. You want to determine whether the level of illumination on the assembly line affects worker productivity. One day, you have one group of 5 employees work under very dim lighting, a second group of 5 employees work under a moderate level of light, and a third group of 5 employees work under very bright lights. The mean productivity (number of units assembled) for the low light group was 56; for the moderate light group, 68;...
Suppose that we are interested to determine whether the mean unemployment duration in state A is...
Suppose that we are interested to determine whether the mean unemployment duration in state A is different from the mean unemployment duration in state B. Suppose also we collect information from samples of unemployed workers from the two states and track the duration in weeks until they get employment. The following table summarizes the sample results and the population standard deviations State A State B Sample Size 64 81 Sample mean unemployment duration (in weeks) 20 23 Population standard deviation...
.  Suppose you own a factory.  You want to determine whether the level of illumination on the assembly...
.  Suppose you own a factory.  You want to determine whether the level of illumination on the assembly line affects worker productivity.  One day, you have one group of 5 employees work under very dim lighting, a second group of 5 employees work under a moderate level of light, and a third group of 5 employees work under very bright lights.  The mean productivity (number of units assembled) for the low light group was 56; for the moderate light group, 68; for the bright...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT