Submitted By kpalesia

Words 471

Pages 2

Words 471

Pages 2

Karen Alesia Powell

Strayer University

BUS100 Professor Doris Martin August 3, 2014

Abstract

Communication is the key to a successful business or professional career. The use of effective communication is one the most important skills that I recommend for all people working in a professional position to acquire and perfect. But this skill is not easy for everyone, it can be a challenge for many even the most talented people. (Kelly, McGowen, William, 2014, Pg.125)

Fundamental of Effective Communication in the Workplace

Communication is imperative to achieve the goals of those who in work the law profession. Criminal justice, criminology and law enforcement workers must be able to articulate their actions and reasoning to the public in order to 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…...

...Assignment 1: Bottling Company Case Study MAT 300 Statistics Strayer University December 15, 2013 Calculate the mean, median, and standard deviation for ounces in the bottles. 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 Total: 446.1/ 30 = 14.87 Mean: (Avg) 14.87 Median: (14.87 + 14.87) / 2 = 14.8 Standard Deviation: 0.55033 Construct a 95% Confidence Interval for the ounces in the bottles. With a mean score of 14.87, a standard 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......

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...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. Write a two to three (2-3) page report in which you: Calculate the mean, median, and standard deviation for ounces in the bottles. Construct a 95% Confidence Interval for the ounces in the bottles. 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. Provide the following discussion based on the conclusion of your test: If you conclude that there are less than sixteen (16) ounces in a bottle of soda, speculate on three (3) possible causes. Next, suggest the strategies to avoid the deficit in the future. Or If you conclude that the claim of less soda per bottle is not supported or justified, provide a detailed explanation to your boss about the situation. Include your speculation on the reason(s) behind the claim, and recommend one (1) strategy geared......

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...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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...Mat 300 Statistics Bottling Company Case Study Assignment 1: Bottling Company Case Study MAT 300 Statistics Strayer University December 15, 2013 Calculate the mean, median, and standard deviation for ounces in the bottles. 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 Total: 446.1/ 30 = 14.87 Mean: (Avg) 14.87 Median: (14.87 + 14.87) / 2 = 14.8 Standard Deviation: 0.55033 Construct a 95% Confidence Interval for the ounces in the bottles. With a mean score of 14.87, a standard 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...

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...Deviation: 0.55033 Construct a 95% Confidence Interval for the ounces in the bottles. With a mean score of 14.87, a standard 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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...55033 Construct a 95% Confidence Interval for the ounces in the bottles. With a mean score of 14.87, a standard 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... View Full Essay...

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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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...| 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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...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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... Assn. 1: Bottling Company Case Study Strayer University Professor Anthony Myers MAT 300-Statistics 06/15/2014 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. 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. As stated in Bluman, (2013), “the mean is found by adding the values of the data and dividing by the total number of values” (p. 114). In the data collected from the bottling company case study, the mean is......

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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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...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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