A green laser emits light with a wavelength of 532 nm. Calcu…
A green laser emits light with a wavelength of 532 nm. Calculate: The energy of a single photon The frequency of this light Constants: h= 6.626×10-34 J/Hz c= 3.00×108 m/s 1Hz =1s-1 = 1/s c = 3.00 \times 10^8 \, \text{m/s} 1Hz = 1s-1 = 1/s
Read DetailsUsing the data in the table from a study assessing the link…
Using the data in the table from a study assessing the link between asthma and the risk of developing obstructive sleep apnea (OSA), calculate the cumulative incidence of OSA among study participants without asthma assuming no participants dropout over the course of the study. Table 1. Participant Characteristics at Baseline by Asthma Duration Status All participants Participants with asthma Participants without asthma Participants 547 81 466 Age, mean (SD), y 50.4 (7.7) 49.0 (6.8) 50.6 (7.8) Women 284 50 234 BMI, mean (SD) 28.9 (5.5) 30.6 (6.4) 28.6 (5.3) Incident OSA* 97 22 75 Asthma controller medication use 16 16 NA BMI, body mass index; OSA, obstructive sleep apnea *New cases of OSA developed over 4 years of follow-up
Read DetailsTrue or False: During the initial examination for an epidemi…
True or False: During the initial examination for an epidemiological study, existing cases of coronary heart disease were identified in 5 per 1,000 men and 2 per 1,000 women. From this data, it would be reasonable to deduce that men have a higher risk of developing coronary artery disease than women.
Read DetailsLet X be the number of taxis that a customer finds waiting o…
Let X be the number of taxis that a customer finds waiting outside of their hotel anytime between 5:00pm and midnight on weeknights. The probability mass function for X is Solve for the following probabilities. Round to the nearest hundredth. d)
Read DetailsThe next two questions use the same problem statement. An i…
The next two questions use the same problem statement. An industrial psychologist has developed a test to identify people with a potential to be good managers. His statistics indicate that 30 percent of the employees in the company positive leadership traits. Past data indicates that 45 percent of those with positive traits are promoted into management, while 10 percent of those without the traits are promoted into management. a) What is the probability that an employee picked at random from the company will be promoted to management? Round to the nearest thousandth.
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