Part 1: You are the healthcare administration leader for a health services organization and are interested in achieving a standard, whereby 90% of all patients are screened within the initial 15 minutes of arriving for a family practice appointment. In a random sample of 30 patients, you find that 25 were screened within 15 minutes. The probability that this event (or one more extreme) would occur, might be modeled as a binomial with the following probability statement: P(X≤25 | N=30, p=0.9) To solve, you use =binom.dist(25, 30, 0.9, TRUE) in Excel and find that you would expect 25 or fewer screenings in 30 trials when the success rate should be 0.9 about 17.5% of the time. Review the resources and consider how one of the distributions presented might be useful for healthcare administration leaders. Describe in 2 or 3 paragraphs an example of how one of the distributions presented might be used in your health services organization or one with which you are familiar. Then, generate a representative probability statement based on the scenario and solve using fictitious data. Be specific in your probability statement. Part 2: Your company is running a Medicare audit on Sleaze Hospital. Because Sleaze has a history of overbilling, the focus of your audit is on checking whether the billing amounts are correct. Assume that each invoice is for too high an amount with probability 0.06 and for too low an amount with probability 0.01 (so that the probability of a correct billing is 0.93). Also, assume that the outcome for any invoice is probabilistically independent of the outcomes for other invoices. For this Assignment, reflect on the case presented. Think about what strategies you might use to calculate associated probabilities for Sleaze Hospital, and then address the series of questions. The Assignment: (3–5 pages) If you randomly sample 200 of Sleaze's invoices, what is the probability that you will find at least 15 invoices that overcharge the customer? What is the probability you won't find any that undercharge the customer?Find an integer, k, such that the probability is at least 0.99 that you will find at least k invoices that overcharge the customer. (Hint: Use trial and error with the BINOMDIST function to find k.)Suppose that when Sleaze overcharges Medicare, the distribution of the amount overcharged (expressed as a percentage of the correct billing amount) is normally distributed with mean 15% and standard deviation 4%.What percentage of overbilled invoices are at least 10% more than the legal billing amount?What percentage of all invoices are at least 10% more than the legal billing amount?If your auditing company samples 200 randomly chosen invoices, what is the probability that it will find at least five where Medicare was overcharged by at least 10%?References:Albright, S. C., & Winston, W. L. (2015). Business analytics: Data analysis and decision making (5th ed.). Stamford, CT: Cengage Learning.Chapter 4, "Probability and Probability Distributions" (pp. 139–165)Chapter 5, "Normal, Binomial, Poisson, and Exponential Distributions" (pp. 166–221)Fulton, L. V., Mendez, F. A., Bastian, N. D., & Musal, R. M. (2012). Confusion between odds and probability, a pandemic? Journal of Statistics Education, 20(3), 1–20.Note: Retrieved from the Walden Library databases.Microsoft. (2016). Statistical functions (reference). Retrieved from https://support.office.com/en-us/article/Statistic...

No plagarism. Please include references. You are the Chief Risk Officer for a company and you’ve been tasked with identifying the areas where your company is exposed to systematic and unsystematic risks.Respond to the following in a minimum of 175 words:Based on the information you learned this week, what approach would you take in explaining how systematic and unsystematic risks affect risk planning?Describe your approach.Name 3 or more systematic or unsystematic risks your company might face.Think of some implications if your company decides not to be proactive and plan for these risks.

Attempt HistoryAttemptTimeScoreLATESTAttempt 16 minutes0 out of 10 ** Some questions not yet graded Correct answers are hidden.Score for this attempt: 0 out of 10 *Submitted Apr 30 at 11:16amThis attempt took 6 minutes.Learn by DoingSome features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.A list of StatCrunch directions is provided at the bottom of this text-box.ContextRecall the following example: The average gestation period, or time of pregnancy, of an animal is closely related to its longevity—the length of its lifespan. Data on the average gestation period and longevity (in captivity) of 40 different species of animals have been recorded.For the StatCrunch problem, you will analyze data for 40 species of animals in captivity. Variablesanimal: the name of the animal speciesgestation: the average gestation period of the species, in dayslongevity: the average longevity of the species, in yearsThe explanatory variable is average lifespan (longevity.) The response variable is length of pregnancy (average gestation period.)DataDownload the animals (Links to an external site.) datafile. Then upload the datafile in StatCrunch. If you need a reminder about how to do this, review the list of StatCrunch directions below.PromptIn the first question you will produce a scatterplot in StatCrunch (with longevity as the explanatory variable and gestation as the response variable) and then use StatCrunch to calculate the correlation coefficient.List of StatCrunch DirectionsPurchase StatCrunch (You only need to do this once.)Open StatCrunchDownload Excel Data FileUpload Excel Data File to StatCrunchDownload StatCrunch Output Window (do not take screenshots; please use these directions)Upload Files into Your Stat-Class Folder in CanvasEmbed Pictures in a Discussion Post (do not post attachments; please use these directions)Copy and Paste StatCrunch Text OutputCreate a Scatterplot in StatCrunchProduce the Correlation Coefficient in StatCrunchHere is a PDF document with all StatCrunch directions (Links to an external site.).Question 1Not yet graded / 10 ptsThese directions assume you have downloaded the animals datafile and uploaded it in StatCrunch. If you have not, please see the Data section above.Use StatCrunch to create a scatterplot with longevity as the explanatory variable and gestationas the response variable. (directions)Download the StatCrunch output window (your scatterplot) and upload it to your Stats-Classfolder in Canvas.Embed the .png file for your scatterplot in the text-box below.Use StatCrunch to produce the correlation coefficient. (directions)Copy the Correlation "text" output and paste it in the text-box below. (directions)Correlation between gestation and longevity is: 0.66323967Correlation between gestation and longevity is:0.66323967Score: 0 out of 10