Submitted By robowash1

Words 340

Pages 2

Words 340

Pages 2

HIM 220

La College International

Bobbie Washington

September 23, 2012

Documentation is when statistic can be pulled and used to support the operation and management of the health case facility. The documentation is the producing of written information about something. Administration can then distribute budgets, equipment, and staff more effectively and efficiently. The query is asking a question or inquiring about something. The age of majority is the age that the state considered a person an adult and they ill have all the rights and responsibilities of adulthood. It's also an age when a become liable for their own action. The paternal duty of support to a child cease when the child reaches the age of majority. Random sampling is when you pick a certain item by name without forethought. Allocation is set apart something for a special purpose.

Documentation and Query have in common is that physicians and nurses etc. From time to time will query about what in a documentation that they are looking for. Query tend to help the facility staff have better documentation habits. You need Documentation to provide that you have reached the age of majority

One of the main use of health care documentation in a medical facility is the support of medical decision making. In order for the best decision to be made physicians need the complete history of the patient and to attain this he has to look at the documentation.

Another use would be the Continuity of patient care the people who are working together on a patient case re care need to have access to the same information in order to provide the best care.

A third use would be a patient safety without document let the nurses know what medication was given to the patient it could be dangerous for the patient if they are given the same medication back to back.

Reference

Safian, Shelley, C,…...

...Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. Note: Use the data set provided by your instructor to complete this assignment. Bottle Number Ounces Bottle Number Ounces Bottle Number Ounces 1 14.5 11 15 21 14.1 2 14.6 12 15.1 22 14.2 3 14.7 13 15 23 14 4 14.8 14 14.4 24 14.9 5 14.9 15 15.8 25 14.7 6 15.3 16 14 26 14.5 7 14.9 17 16 27 14.6 8 15.5 18 16.1 28 14.8 9 14.8 19 15.8 29 14.8 10 15.2 20 14.5 30 14.6 Write a two to three (2-3) page report in which you: 1. Calculate the mean, median, and standard deviation for ounces in the bottles. 2. Construct a 95% Confidence Interval for the ounces in the bottles. 3. Conduct a hypothesis test to verify if the claim that a bottle contains less than sixteen (16) ounces is supported. Clearly state the logic of your test, the calculations, and the conclusion of your test. 4. Provide the following discussion based on the conclusion of your test: a. If you conclude that there are less than sixteen (16) ounces in a bottle of soda, speculate on three (3) possible causes. Next,......

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...Running head: BOTTLING COMPANY CASE STUDY 1 Bottling Company Case Study BOTTLING COMPANY CASE STUDY 2 Abstract In this assignment, I am a manager at a major bottling company and the customers have begun to make complaints that the bottles of the brand of soda produced at the company I work for have less than the advertised 16 ounces of soda. My boss wants me to solve the problem and has asked me to investigate into the situation. I have the employees on the floor pull 30 bottles off the line at random from every shift which I assume is from three shifts and I have asked the employees involved to measure the amount of soda there is in each of the 30 bottles. The Mean, Median and Standard Deviation The mean or average of a data set is simply the average of all the numbers in the set. To find the average mean add up all the numbers in the data set and divide by how many numbers in the set. In this situation, there are 30 bottles with the weight of 14.5, 14.6, 14.7,14.8,14.9,15.3,14.9, 15.3, 14.9,15.5,14.8,15.2,15,15.1,15,14.4,15.8,14,16,16,15.8,14.5,14.1,14.2,14,14.9,14.7,14.5, 14.6,14.8, and 14.6. The total is 446.1 and divided by 30 and the mean is 14.87. The median is calculated by arranging the data in order and selecting the middle point and in this data set the median is an even number so we have to add......

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...deviation of 0.55033, and a desired confidence level of 95%, the corresponding confidence interval is + 0.2. There is a 95% certainty that the true population mean falls within the range of 14.67 to 15.07. Conduct a hypothesis test to verify if the claim that a bottle contains less than sixteen (16) ounces is supported. Clearly state the logic of your test, the calculations, and the conclusion of your test. There is a complaint that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. In order to verify if the claim that a bottle contains less than sixteen (16) ounces is supported, the employees will pull thirty bottles off the line at random from all the shifts at the bottling plant. Employees are required to measure the amount of soda there is in each bottle. Alternative hypothesis: the bottles of the brand of soda produced contain less than the advertised sixteen (16) ounces of product Null hypothesis: the bottles of the brand of soda produced do not contain less than the advertised sixteen (16) ounces of product. 95% Confidence Interval = (14.67,15.07) We are confident that the true population mean is between 14.67 and......

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...Bottling Company Case Study Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. Note: Use the data set provided by your instructor to complete this assignment. Bottle Number Ounces Bottle Number Ounces Bottle Number Ounces 1 14 11 14.6 21 15 2 14 12 14.7 22 15 3 14.1 13 14.7 23 15.1 4 14.2 14 14.8 24 15.2 5 14.4 15 14.8 25 15.3 6 14.5 16 14.8 26 15.5 7 14.5 17 14.8 27 15.8 8 14.5 18 14.9 28 15.8 9 14.6 19 14.9 29 16 10 14.6 20 14.9 30 16.1 Calculate the mean, median, and standard deviation for ounces in the bottles. According to Larson and Farber, 2009, the mean of a data set is the sum of the data entries divided by the number entries. To find the mean of the sample data set the formula must be used: Sample mean x̄ = (∑x)/N = 446.1/30= 14.87 According to Larson and Farber, 2009, the median of a data set is the value that lie in the middle of the data when the data set is ordered. The given numbers in the table are in order, there are thirty entries (an even number). The median is the mean of the two middle entries. Median...

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...Assignment 1: Bottling Company Case Study In this project we were given the case of customer complaints that the bottles of the brand of soda produced in our company contained less than the advertised sixteen ounces of product. Our boss wants us to solve the problem at hand and has asked me to investigate. I have asked my employees to pull Thirty (30) bottles off the line at random from all the shifts at the bottling plant. The first step in solving this problem is to calculate the mean (x bar), the median (mu), and the standard deviation (s) of the sample. All of those calculations were easily computed in excel. The mean was computed by entering: =average, the median by: =median, and the std. dev. by: = = std dev. The corresponding values are x bar = 14.87, mu = 14.8, and s = 0.550329055. The next step in solving the problem is to construct a 95% confidence interval for the average amount of the company’s 16-ounce bottles. The confidence interval was constructed by drawing a normal distribution with c = 95%, a = 0.050, and Zc = 0.025. The Zc value was entered into the Z◘ (z box) function in the Aleks calculator that resulted in a Z score of +1.96 and -1.96. We calculate the standard error (SE) by dividing the s by the Square root of n which is the sample size. The margin of error is calculated by multiplying the z score = 1.96 by the std. dev. = 0.5503/the square root of n = 5.4772. The result is a 0.020 margin of error. The margin of error is added to and subtracted from...

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...maintain their support. Without the ability to communicate effectively the details of the event may be seen as a public misconception. Criminologists and Investigators must be able to present their research and findings in a coherent manner to persuade the case and apprehend the subject or subjects. Three Reasons and Results How Communication is Effective The first communication skills is understanding the cultural orientation including diverse age, cultural, economic, ethnic and religious groups. With the understanding of many cultures, many businesses hire personnel with multiple languages skills. This helps the language barrier and comprehension of what being communicated. As criminal investigators, basic speaking and active listening skills are parts of investigate methods to report in the case as giving and receiving feedback and instruction to write the summary. Having the ability to reflect, restate and clarify the information obtained are techniques used for building a case. Reporting relevant information by developing, interpreting tables and charts to support written and oral communication. (Oakes, 2011) The information in reports gives the personnel working the cases and supervisors knowledge of the progress in the cases such as dates, times, evidence, opening and closures. Conclusion I have experience of effectiveness of communication in the criminal investigating environment by the lawyers or agents calling daily for information. This......

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...| The Bottling Company Case Study | MAT300 (Statistics)Professor Pamela Self | | | 9/7/2014 | | Abstract In my research I find the mean, median, and standard deviations. These are simple calculations that can be done in Excel as long as you have the correct information. I was given the ounces of thirty bottles and had to find out whether the bottling companies were putting less than the advertised amount of liquid into the bottles. I believe the companies were putting enough in there but my results showed different. In my assignment, I had to find the mean, median, standard deviation, and confidence interval. I have inserted a spreadsheet to show my calculations. To find the mean I took the sum of ounces for all thirty bottles that were given (=average(B3:B32). To find the median I used the formula in Excel which is: =MEDIAN(B3:B32). To find the standard deviation, I used the formula in Excel as well which is: =STDEVA(B3:B32). The 95% confidence interval is +1.96 and -1.96. I took each bottle and added and subtracted the standard deviation from it to get my results. Majority of the bottles fell within the 95% confidence interval of 14.67 and 15.07. From my results, I was able to create a hypothesis that the claim of bottling companies are putting less than sixteen ounces in the bottle to be true. There can be many reasons the bottles are coming with less than sixteen ounces in them. One reason could be the types of machines that are being used are not......

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...Bottling Company Case Study Jason Otterbach Instructor: Agata Corobana Strayer University June 8, 2014 Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. A Confidence interval is a term used in inferential statistics that measures the probability that a population or sample parameter will be fall between two set values. The confidence interval can take any number of probabilities, with the most common being 95% or 99% (Investopedia.com, n.d.). To find the 95% confidence interval for the ounces in the bottles, we need to find the margin of error E. E =Z_C*(Ó/√(n) 446.1 / 30 = 14.87 x̄ = 14.87 n= 30 σ = 0.5503 E = (14.87 + 14.87) / 2 = 14.8 The 95% confidence interval for the ounces in the bottles can be written as x̄ ±E = 14.87- 0.2 and 14.87 + 0.2 = 14.67 ~ 15.07 In conclusion, with 95% confidence, the mean of the ounces in the bottles is between 14.67 ~ 15.07 ounces. A statistical hypothesis is a statement about the distribution of the data variable X. Equivalently, a statistical hypothesis specifies a set of......

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...powered by warm brews of coffee throughout the day in order to get their fix. They escape just for a couple of minutes to the nearest coffee shop around the corner or walk down the thin pathways between cubicles towards the break room. Once a cup has been poured, every sip is a hybrid of rejuvenation and relaxation so they can focus on the task ahead; however, getting a hot dose of caffeine is not always as easy as it seems. There are potentially long lines served by overwhelmed baristas or unclean burnt pots left in the office from the day before. This product is designed to alleviate the common daily office stresses of lack of a hot pot of caffeine. This product is the Pocket Espresso. This devices is small enough to place into a brief case or purse. This device requires a small cup of caffeine, similar to a K-cup and a cup such as a small coffee cup for pouring. This device is small in size and convenience. This device will fit back into the transportation carrier in which it was transported and does not require immediate cleaning. This device will prepare shots with the quality of a traditional coffee machine. (2.) Determine the business structure that best fits your Innovative Idea. The business structure that best fits this idea would be a limited liability company. Limited Liability is a hybrid type of legal structure that provides the limited liability features of a corporation and the tax efficiencies and operational flexibility of a partnership. The......

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...Students, please view the "Submit a Clickable Rubric Assignment" in the Student Center. Instructors, training on how to grade is within the Instructor Center. Assignment 1: Bottling Company Case Study Due Week 10 and worth 140 points Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. Note: Use the data set provided by your instructor to complete this assignment. Bottle Number | Ounces | Bottle Number | Ounces | Bottle Number | Ounces | 1 | 14.5 | 11 | 15 | 21 | 14.1 | 2 | 14.6 | 12 | 15.1 | 22 | 14.2 | 3 | 14.7 | 13 | 15 | 23 | 14 | 4 | 14.8 | 14 | 14.4 | 24 | 14.9 | 5 | 14.9 | 15 | 15.8 | 25 | 14.7 | 6 | 15.3 | 16 | 14 | 26 | 14.5 | 7 | 14.9 | 17 | 16 | 27 | 14.6 | 8 | 15.5 | 18 | 16.1 | 28 | 14.8 | 9 | 14.8 | 19 | 15.8 | 29 | 14.8 | 10 | 15.2 | 20 | 14.5 | 30 | 14.6 | Write a two to three (2-3) page report in which you: 1. Calculate the mean, median, and standard deviation for ounces in the bottles. 2. Construct a 95% Confidence Interval for the ounces in the bottles. 3. Conduct a hypothesis test to......

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...Strayer University MAT 300 Dr. Soosan Shahrokh December 12, 2014 Bottling Company Case Study In this project we were given the case of customer complaints that the bottles of the brand of soda produced in our company contained less than the advertised sixteen ounces of product. Our boss wants us to solve the problem at hand and has asked me to investigate. I have asked my employees to pull Thirty (30) bottles off the line at random from all the shifts at the bottling plant. The next step in solving this problem is to calculate the mean (x bar), the median (mu), and the standard deviation (s) of the sample. All of those calculations were easily computed in excel. The mean was computed by entering: =average, the median by: =median, and the std. dev. by: standard deviation. And the corresponding values are x bar = 14.87, mu = 14.8, and s = 0.550329055. The next to last step in solving the problem is to construct a 95% confidence interval for the average amount of the company’s 16-ounce bottles. The confidence interval was constructed by drawing a normal distribution with c = 95%, a = 0.050, and Zc = 0.025. The Zc value was entered into the Z◘ (z box) function in the Aleks calculator that resulted in a Z score of +1.96 and -1.96. We can calculate the standard error (SE) by dividing the s by the Square root of n which is the sample size. When the margin of error is calculated by multiplying the z score = 1.96 by the std. dev. = 0.5503/the square root of n = 5.4772.......

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...Assignment 1: Bottling Company Case Study Due Week 10 and worth 140 points Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. Note: Use the data set provided by your instructor to complete this assignment. Bottle Number Ounces Bottle Number Ounces Bottle Number Ounces 1 14.23 11 15.77 21 16.23 2 14.32 12 15.80 22 16.25 3 14.98 13 15.82 23 16.31 4 15.00 14 15.87 24 16.32 5 15.11 15 15.98 25 16.34 6 15.21 16 16.00 26 16.46 7 15.42 17 16.02 27 16.47 8 15.47 18 16.05 28 16.51 9 15.65 19 16.21 29 16.91 10 15.74 20 16.21 30 16.96 Write a two to three (2-3) page report in which you: 1 Calculate the mean, median, and standard deviation for ounces in the bottles. 2 Construct a 95% Confidence Interval for the ounces in the bottles. 3 Conduct a hypothesis test to verify if the claim that a bottle contains less than sixteen (16) ounces is supported. Clearly state the logic of your test, the calculations, and the conclusion of your test. 4 Provide the following discussion based on the conclusion of your test: a. If you conclude......

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...Assignment 1: Bottling Company Case Study Due Week 10 and worth 140 points Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. Note: Use the data set provided by your instructor to complete this assignment. NOTE: The Excel workbook containing the above data can be downloaded from here: MAT300_Assignment 1_Data.xlsx In a Word document, write a two to three (2-3) page report in which you: Calculate the mean, median, and standard deviation for ounces in the bottles. Round your final results to 3 significant places after the decimal. Construct a 95% Confidence Interval for the ounces in the bottles. Round your final results to 3 significant places after the decimal. Conduct a hypothesis test to verify if the claim that a bottle contains less than sixteen (16) ounces is supported. Use 0.02 as the level of significance. Clearly state the logic of your test, the calculations, and the conclusion of your test. Note that for performing a hypothesis testing, the following quantities have to be calculated: (a) The sampling......

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...Soda company | Bottling Company Case Study | Dr. Gregory Wright | | Michael Painter | 12/10/2015 | Statistics | Bottling Company Case Study Customer satisfaction is important to any business that is in business to please their customers who buy their products. That is no different than where I’m at as a manager of a bottling company. I want to make my customers happy and there have been complaints that our sodas are not meeting the labeled size of sixteen ounces. Customers are saying that there are less than sixteen ounces in our bottle. I plan to perform tests to see if we really do having a problem and if we do we need to correct the issue. For use to determine what is going on we collected a sample of bottles from all shifts at the plant for a total of 30 bottles. We calculated the amount of liquid in ounces of each bottle and recorded our date. We determined from the data gathered that out mean is 15.85 ounces, the mode was 16.21 ounces and the median was 15.99 ounces. From the data gathered we were then able to determine the standard deviation of the thirty bottles which was 0.66138 ounces. This information will allow us to see what our average is with the mean and from our average we are below the promised 16 ounces we promote. Then we look at our mode and it shows that our most commonly seen number is 16.21 ounces which tells our team that we have several bottles that are over 16 ounces. Once we achieve those numbers we construct a 95 percent......

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...Bottling Company Case Study TaNeesh Williams Derrick Barbee MAT 300-Statistics March 14, 2015 Bottling Company Case Study Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. Bottle Number | Ounces | Bottle Number | Ounces | Bottle Number | Ounces | 1 | 14.5 | 11 | 15 | 21 | 14.1 | 2 | 14.6 | 12 | 15.1 | 22 | 14.2 | 3 | 14.7 | 13 | 15 | 23 | 14 | 4 | 14.8 | 14 | 14.4 | 24 | 14.9 | 5 | 14.9 | 15 | 15.8 | 25 | 14.7 | 6 | 15.3 | 16 | 14 | 26 | 14.5 | 7 | 14.9 | 17 | 16 | 27 | 14.6 | 8 | 15.5 | 18 | 16.1 | 28 | 14.8 | 9 | 14.8 | 19 | 15.8 | 29 | 14.8 | 10 | 15.2 | 20 | 14.5 | 30 | 14.6 | Calculate the mean, median, and standard deviation for ounces in the bottles. The mean and median are measures of tendency which are also called measures of average. The mean is found by adding the values of the data and dividing by the total number of values. The median is the halfway point in a data set and found by arranging the date in order (Bluman, 2013, p 113-117)....

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