Fountain View Hospice is an inpatient hospice that has an EHR. Because of a hurricane, the town, including the hospice, was flooded. Patients had to be evacuated and the data center was underwater. The hospice backs up its files daily and the files are stored at a vendor site across town. The vendor’s office was unaffected by the flood, so the backup files are safe. The vendor does not have the EHR application. The flood waters have receded, and the building is undergoing renovations. The vendor has stated that there is no way to recreate their application and so a full implementation of the EHR will be necessary and could take a year or more. In the meantime, the hospice will have to operate using paper health records. The hospice will have to pay to select and implement the new information system as well as manage the paper health record.1. What else could the hospice have done to prevent having to completely reimplement the EHR?2. Are there other issues that could have been addressed to help prevent this?____Lewis-Beck Medical Center (LBMC) is a 650-bed acute care hospital in north Florida. In the last decade, this geographic area has experienced a significant increase in the number of persons moving to here who are 60 years and older. It has become a popular destination due to a reasonable cost of living, temperate weather, close to the Gulf of Mexico, quality schools and healthcare facilities, and many university-sponsored cultural events. There are currently 17 assisted living and memory care facilities approved or being built to address this need. LBMC recognized this trend early on. Using data analytics software and statistical predictions, C-suite personnel were able to identify trends and patterns in patient care for this age group. A concerted effort was made to recruit and/or train physicians and nurses specializing in geriatric medicine. Additional staffing and locations were added to provide physical, occupational, and speech therapy. Physician group practices associated with the hospital have increased the number of physicians with specialty training in cardiology, oncology, and internal medicine. LBMC strengthened or established relationships with the organizations building the assisted living communities and memory care centers. Working with local universities and a community college, education and training programs were identified and implemented to meet the employment demand. The local senior center, an organization providing education, health screening, entertainment, and cultural programs for active seniors, was identified as a key stakeholder and gateway to this population. LBMC regularly evaluates internal and external data to monitor trends to meet the need of this fast-growing segment of the local population.1. What roles does the local chamber of commerce and the economic development authority play in LBMC’s growth regarding the senior market?Total 500 words ^_^ Thankyou!1 day agoREQUIREMENTS

1) The first task is to review some information that might be useful later:a) Write a brief definition of the word "quartile" as we have used it in previous weeks. Be sure to provide a citation: _____________________________.b) Write a brief definition of the word "quantile" as it might be used in statistics. Be sure to provide a citation (do not cut and paste... use your own words to summarize what you discovered): ________________________________.c) From within interactive R, enter the command shown below (the command shows a help page for the pbinom command). Provide a very brief description of the arguments that are passed to the pbinom() command ("arguments" in computer programming are the options that you give to a function so that the function can calculate what you want it to). Note that one of the arguments is lower.tail = TRUE, and because there is a value assigned to it with the equals sign, it means that if you do not enter a new value for lower.tail, it will be set to TRUE by default. Do not type the ">" into R, it is the command prompt:> ?pbinom2) You can use the dbinom() command (function) in R to determine the probability of getting 0 heads when you flip a fair coin four times (the probability of getting heads is 0.5): dbinom(0, size=4, prob=0.5)Find the equivalent values for getting 1, 2, 3, or 4 heads when you flip the coin four times. TIP: after you run the first dbinom() command, press the up arrow and make a small change and run it again.probability of getting exactly 1 head: _______probability of getting exactly 2 heads: _______probability of getting exactly 3 heads: _______probability of getting exactly 4 heads: _______3) Use the pbinom() function in R to show the cumulative probability of getting 0, 1, 2, 3, or 4 heads when you flip the coin 4 times (this is the same as finding the probability than the value is less than or equal to 0, 1, 2, 3, or 4.)probability of getting no more than 0 heads: ____probability of getting no more than 1 head: _____probability of getting no more than 2 heads:_____probability of getting no more than 3 heads: ____probability of getting no more than 4 heads: ____4) The following R command will show the probability of exactly 6 successes in an experiment that has 10 trials in which the probability of success for each trial is 0.5:dbinom(6, size=10, prob=0.5)(True/False)____________5) Read Yakir (2011, pp. 68-69) carefully to review the meaning of the pbinom function (related to tests that a value will be “equal to” versus “less than or equal to” a criterion value). What is the probability of getting fewer than 2 heads when you flip a fair coin 3 times (round to 2 decimal places) ? ______6) What is the probability of getting no more than 3 heads when you flip a fair coin 5 times (be sure to understand the wording differences between this question and the previous one—round to 2 decimal places)? ________---------------------------------------------------InformationThe exponential distribution is a continuous distribution. The main R functions that we will use for the exponential distribution are pexp() and qexp(). Here is an example of the pexp() function. Leaves are falling from a tree at a rate of 10 leaves per minute. The rate is 10, or we can say that lambda = 10 (meaning 10 leaves fall per minute). The leaves do not fall like clockwork, so the time between leaves falling varies. If the time between leaves falling can be modeled with an exponential distribution, then the probability that the time between leaves falling will be less than 5 seconds (which is 5/60 of a minute) would be:(note: this is an explanation of how pexp() works, you will answer a different question below) pexp(5/60, rate=10)which is about 0.565 (meaning that the probability is a bit higher than 50% that the next time-span between leaves falling will be less than 5 seconds).For tasks 7-12, assume that the time interval between customers entering your store can be modeled using an exponential distribution. You know that you have an average of 4 customers per minute, so the rate is 4, or you can say that lambda = 4 according to Yakir (2011, p. 79-80). It is easiest to keep everything in the original units of measurement (minutes), but you can also translate that to seconds because a rate of “4 customers per minute” is the same as “4 customer per 60 seconds,” and you can divide each number by 4 to get a rate of “1 customer per 15 seconds” or a rate of “1/15 customers per second.”7) What is the expectation for the time interval between customers entering the store? Be sure to specify the units of measurement in your answer (see Yakir, 2011, pp. 79-80). Round to 3 decimal places: ___________________8) What is the variance of the the time interval? Be sure to specify the units of measurement in your answer. Round to 3 decimal places:_________________9) The pexp() function is introduced at the bottom of Yakir, 2011, p. 79, and there are some tips above. What is the probability that the time interval between customers entering the store will be less than 15.5 seconds. Be sure to enter values so that everything is in the same unit of measurement. Be sure to specify the units of measurement in your answer. Round your answer to 3 decimal places: _________________.10) What is the probability that the time interval between customers entering the store will be between 10.7 seconds and 40.2 seconds (see Yakir (2011, p. 79-80)?________11) The qexp() function in R allows you to enter a probability, and it will tell you the criterion value (“cutoff point”) that corresponds to that probability value (e.g., if you enter .05 it tells you the cutoff point below which 5% of the values in the distribution fall).What value of x would be the criterion value (cut-off point) for the top 5% of time intervals (Round to 3 decimal places, and include the units of measurement)? _______---------------------------------12) Describe in your own words the meaning of the number that the following R command produces (you are asked to interpret the resulting number so that we understand what that number means).pexp(1.2, rate=3)---------------------------------InformationYou have now had practice with the binomial distribution and the exponential distribution. The approach to solving problems for the normal distribution is similar to that for the exponential function, but obviously you use different R functions (usually pnorm() or qnorm()).For the following three exercises, assume that you have a normally distributed random variable, called A, with a mean of 7, and a population standard deviation of 3.13) What is the probability that a randomly selected value from variable A will be greater than 9 (see Yakir, 2011 p. 88-89, 100)?_______14) What value of variable A would be the cutoff point (criterion value) for identifying the lowest 4% of values in variable A (use the qnorm function)?____________15) What is the probability that a randomly selected value from variable A will be more than one standard deviation above its mean (there are couple ways to solve this, one way is to use the standard normal distribution, Yakir, 2011, p. 90-91) ?________________