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Click Link Below To Buy: http://hwcampus.com/shop/ma260-assignment-05-statistical-analysis/ Assignment 05

MA260 Statistical Analysis I

Directions: Be sure to save an electronic copy of your answer before submitting it to Ashworth College for grading. Unless otherwise stated, answer in complete sentences, and be sure to use correct English, spelling, and grammar. Refer to the "Assignment Format" page located on the Course Home page for specific format requirements.

NOTE: Show your work in the problems.

1. Compute the mean and variance of the following discrete probability distribution.

x

P(x)

2

.50

8

.30

10

.20

2. The Computer Systems Department has eight faculty, six of whom are tenured. Dr. Vonder, the chair, wants to establish a committee of three department faculty members to review the curriculum. If she selects the committee at random:

a. What is the probability all members of the committee are tenured?

b. What is the probability that at least one member is not tenured? (Hint: For this question, use the complement rule).

3. New Process, Inc., a large mail-order supplier of women’s fashions, advertises same-day service on every order. Recently, the movement of orders has not gone as planned, and there were a large number of complaints. Bud Owens, director of customer service, has completely redone the method of order handling. The goal is to have fewer than five unfilled orders on hand at the end of 95% of the working days. Frequent checks of the unfilled orders follow a Poisson distribution with a mean of two orders. A Poisson distribution is a discrete frequency distribution.

Has New Process, Inc. lived up to its internal goal? Cite evidence.

4. Recent information published by the U.S. Environmental Protection Agency indicates that Honda is the manufacturer of four of the top…...

...1. The null hypothesis a. Is a statement about the value of the population parameter. b. Will always contain the equal sign. c. Cannot include values less than 0. d. Both a and b are correct 2. The alternate hypothesis a. Is accepted if the null hypothesis is rejected b. Will always contain the equal sign c. Tells the value of the sample mean d. None of the above 3. The level of significance a. Is frequently .05 or .01 b. Can be any value between 0 and 1 c. Is the likelihood of rejecting the null hypothesis when it is true d. All of the above 4. A tType I error is a. The correct decision. b. A value determined from the test statistic. c. Rejecting the null hypothesis when it is true. d. Accepting the null hypothesis when it is false. 5. The critical value is a. Is cCalculated from sample information. b. Cannot be negative. c. Is tThe point that divides the acceptance region from the rejection region. d. Is aA value determined from the test statistic. 6. In a one-tailed test a. The rejection region is in only one of the tails. b. The rejection region is split between the tails. c. The p-value is always less than the significance level. d. The p-value is always more than the significance level. 7. To conduct a one sample test of means and use the z distribution as the test statistic a. We need to know...

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...market by gaining greater market shares by strategically introducing a new cold beverage product. In this case my line of questioning would be what popular drinks are being marketed successfully currently? Is the health-concious drinks and foods at the top of the food chain currently? Is there a more convenient consumption of cold beverages we can capitalize on such as a no-sugar-added fruit juice in a carton that is individual in size? How will the product be marketed? What regions are the cold beverages selling best? What surveys indicate who is buying the drinks by gender, age, time of year, etc. These are all questions that would be important to my report to identify a relationship between variables, probably single linear analysis would provide this information best with dependent and independent variables to be considered. The variables in my mind then become gender, will the drink be more appealing to women than men; portability, will the personalized approach to individual grab-and-go drinks be more appealing to consumers in that market? Research could easily show a company where most cold beverages are sold from regionally designed research for collecting this data. This variable would be region. The generational/age input or “baby boomer” effect could be part of the input or variables (Can Soft Drink Taxes Reduce Population Weight?). Placing the correct variables into the regression model should give me a fairly accurate answer with regard to my......

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...Basic statistical analysis is descriptive analysis, descriptive statistics summarizes responses for large numbers of respondents in a few simple statistics. When a sample is gathered, the sample descriptive statistics are used to make inferences about characteristics of the entire population of interests. Descriptive analysis is describing data in a way that explains the basic characteristics such as tendency, distribution, and variables. Examples of this would be if a company wanted to find out what type of bonus employees prefer. Descriptive statistics are used to explain the basic properties of these variables. Mean, Median, and Modes are descriptive statistics that is used to explain the basic properties of variables. The mean would reflect the average answer that is given. The Median would provide the answer that is the central, or middle range answer. The mode would be the answer that was given the most often. Tabulation refers to the orderly arrangement of data in a table or other summary format. When the tabulation process is done by hand, the term tallying is used. Simple tabulation tells how frequently each response or bit of information occurs. Cross Tabulation is used for addressing research questions involving relationships among multiple less than interval variables. One key factor in interpreting a cross tabulation table is comparing the observed table values with the hypothetical values that could result from pure chance. Percentage Cross......

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...tools (e.g., spreadsheet, database) or creating custom programs. MIS 301: Statistical Analysis for Business At the end of this course students should be able to: 1. Use data from a sample to make inferences about a population. 2. Apply probability theory in decision making situations. 3. Formulate hypotheses for decision making and research. 4. Analyze data using appropriate statistical techniques. 5. Interpret the results of statistical analysis. 6. Present statistical results using graphics, text, and the spoken word. MIS 302: Introduction to Operations Management At the end of this course students should be able to: 1. Define the role of operations and supply chain in an organization and its interactions with business functions such as accounting, finance, and marketing. 2. Develop the basic business and operations strategies for increased productivity and competitiveness for service and manufacturing. 3. Use descriptive and optimization models and incorporate cost drivers to improve general business decision making. 4. Identify issues in inventories and resources for an organization and use basic models to improve its management 5. Design quality management strategies, techniques and tools for improved customer satisfaction. 6. Plan the basic scheduling for project and its management 7. List and apply lean operations principles. 1 Last updated August 2012 MIS 306: Information Systems Analysis At the end of this course students should be able to: 1. Work in a......

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...Statistical Analysis Process: Generally, all of the business courses that you take are focused on answering a single question - “What can managers do to improve the performance of their organizations?” It is not sufficient to theorize that a particular business strategy will lead to improved performance. You must test the theory. The statistical analysis process is a standardized methodology for testing theories. Generally, you identify a strategy that you believe may work, you ask experts what they think about the strategy, you analyze the data collected from the experts, you interpret the results from the analysis, and you draw conclusions about how well the strategy works based on the interpretations. All remaining assignments require that you follow this process. 1. State the research question. This is general question related to our area of concern. For example: “What can managers do to improve the performance of their organizations?” That’s probably stated a little too generally. More specific examples include: “Will implementation of a market orientation strategy improve my organization’s performance?” and “Will implementation of JIT and TQM improvement programs combine to improve my organization’s performance?” 2. State the hypotheses. Hypotheses are formulated from the research question. They must be stated in a form that is statistically testable. For example, “Market orientation is positively associated with operational......

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...salaries for schools requiring English test = µ (starting salaries for schools not requiring english test) Alternative hypothesis (Ha): µ (starting salaries for schools requiring English test) ≠ µ (starting salaries for schools not requiring English test) Significance level = 5% Minitab test results: Conclusion: At 5% significance level, P-value is 0.245 which is greater than 0.05. FAIL TO REJECT NULL HYPOTHESIS. 95% CI for difference contains 0. Hence, there is no statistically significant difference between the mean starting salary of schools requiring and not requiring English test. Part 3: Relation between starting salaries and tuition: We can conduct a correlation analysis to measure association between starting salaries and tuition fees. Two separate correlation analysis can be conducted using local and foreign tuition fees data sets. Correlation between starting salaries and local tuition fees: There is a significant strong positive linear correlation between Local Tuition and Starting Salary of MBA graduates. As the Local Tuition fee increases, the starting salaries increase too. Correlation between starting salaries and foreign tuition fees: There is a significant strong positive linear correlation between Foreign Tuition and Starting Salary of MBA graduates. As the Foreign Tuition fee increases, the starting salaries increase too. Part 4: There are three interesting observations that I’d like to cover in this section: 1.......

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...Statistical Information Paper HCS 438 July 17, 2011 Monica Vargas Statistical Information Paper Statistics are used in many different ways in my workplace. The use of statistics is for the improvement of quality care and safety. Statistics are also used to measure employee compliance in regards to hand washing and proper use of policies and procedures. We also use charts and graphs to show infection rates, skin integrity, falls within the facility, budget concerns, and many more. These graphs help hospital personal improve care and safety to provide quality care to all patients. Graphs can also be used to measure patient and employee satisfaction. Descriptive statistics are used to describe the basic features of the data in a study and do not involve generalizing the data that has been collected. They provide simple summaries about the sample and the measures. Together with simple graphics analysis, they form the basis of virtually every quantitative analysis of data (Trochim, 2006). An example of descriptive statistics used at my workplace can be the number of patients that are admitted into the hospital on a Monday versus a patient admitted on any other day of the week. This information can also be broken down into more descriptive categories such as how many patient were men, women , children, what is their diagnosis, why were they admitted, and so on and so forth. We use inferential statistics to make judgments of the probability that an observed......

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...MA260 Assignment 05 Statistical Analysis I Click Link Below To Buy: http://hwcampus.com/shop/ma260-assignment-05-statistical-analysis/ Assignment 05 MA260 Statistical Analysis I Directions: Be sure to save an electronic copy of your answer before submitting it to Ashworth College for grading. Unless otherwise stated, answer in complete sentences, and be sure to use correct English, spelling, and grammar. Refer to the "Assignment Format" page located on the Course Home page for specific format requirements. NOTE: Show your work in the problems. 1. Compute the mean and variance of the following discrete probability distribution. x P(x) 2 .50 8 .30 10 .20 2. The Computer Systems Department has eight faculty, six of whom are tenured. Dr. Vonder, the chair, wants to establish a committee of three department faculty members to review the curriculum. If she selects the committee at random: a. What is the probability all members of the committee are tenured? b. What is the probability that at least one member is not tenured? (Hint: For this question, use the complement rule). 3. New Process, Inc., a large mail-order supplier of women’s fashions, advertises same-day service on every order. Recently, the movement of orders has not gone as planned, and there were a large number of complaints. Bud Owens, director of customer service, has completely redone the method of order handling. The goal is to have fewer than five unfilled orders on hand at the end......

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...MA260 statistical analysis 1 Click Link Below To Buy: http://hwcampus.com/shop/ma260-statistical-analysis-1/ 1. A recent article in the Myrtle Beach Sun Times reported that the mean labor cost to repair a color television is $90 with a standard deviation of $22. Monte’s TV Sales and Service completed repairs on two sets this morning. The labor cost for the first was $75 and it was $100 for the second. Compute z values for each and comment on your findings. 2. The mean of a normal distribution is 400 pounds. The standard deviation is 10 pounds. a. What is the area between 415 pounds and the mean? b. What is the area between the mean and 395 pounds? c. What is the probability of selecting a value at random and discovering that it has a value of less than 395 pounds? 3. The monthly sales of mufflers in the Richmond, VA area follow the normal distribution with a mean of 1200 and a standard deviation of 225. The manufacturer would like to establish inventory levels such that there is only a 5% chance of running out of stock. Where should the manufacturer set the inventory levels? 4. Research on new juvenile delinquents revealed that 38% of them committed another crime. a. What is the probability that of the last 100 new juvenile delinquents put on probation, 30 or more will commit another crime? b. What is the probability that 40 or fewer of the delinquents will commit another crime? c. What is the probability that between 30 and 40 of the......

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...MA260 statistical analysis 1 Click Link Below To Buy: http://hwcampus.com/shop/ma260-statistical-analysis-1/ 1. A recent article in the Myrtle Beach Sun Times reported that the mean labor cost to repair a color television is $90 with a standard deviation of $22. Monte’s TV Sales and Service completed repairs on two sets this morning. The labor cost for the first was $75 and it was $100 for the second. Compute z values for each and comment on your findings. 2. The mean of a normal distribution is 400 pounds. The standard deviation is 10 pounds. a. What is the area between 415 pounds and the mean? b. What is the area between the mean and 395 pounds? c. What is the probability of selecting a value at random and discovering that it has a value of less than 395 pounds? 3. The monthly sales of mufflers in the Richmond, VA area follow the normal distribution with a mean of 1200 and a standard deviation of 225. The manufacturer would like to establish inventory levels such that there is only a 5% chance of running out of stock. Where should the manufacturer set the inventory levels? 4. Research on new juvenile delinquents revealed that 38% of them committed another crime. a. What is the probability that of the last 100 new juvenile delinquents put on probation, 30 or more will commit another crime? b. What is the probability that 40 or fewer of the delinquents will commit another crime? c. What is the probability that between 30 and 40 of the......

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...References Agresti, Alan (1996).Introduction to categorical data analysis. NY: John Wiley and Sons. Ahmed, N. (1976); Development Agriculture of Bangladesh. Dhaka, Bangladesh Books of International Ltd. BANBEIS (1998); Bangladesh Education Statistics (At a glance), Bangladesh Bureau of Statistics. BBS, 2003: Report of the household expenditure survey 2000, Statistical Division, Ministry of Planning, Government of Bangladesh, Dhaka. BBS (2002); Statistical Year book of Bangladesh, 2001, Dhaka. Bunce, L. and R. Pomeroy. 2003. Socioeconomic Monitoring Guidelines for Coastal Managers in the Caribbean: SocMon Caribbean. GCRMN. Bunce, L., P. Townsley, R. Pomeroy, and R. Caribbean. GCRMN. Bunce, L., P. Townsley, R. Pomeroy, and R. Pollnac. 2000. Chandra KJ. Fish parasitological studies in Bangladesh: A Review. J Agric Rural Dev. 2006; 4: 9-18. Cochran, W.G. (1977); Sampling Techniques, 3rded. New Delhi: Wiley Eastern. Davis, James A. (1971). Elementary survey analysis. Des Raj (1971); Sampling Theory. Fox, J. 1984: Linear Statistical Models and Ravallion, M. and B. Sen 1996: When Method Matters: Monitoring Poverty in Bangladesh, Economic Development and Cultural Change, 44: 761-792 Gujarati, Damodar.N; Basic Econometrics. 4TH edition; Mcgraw-Hill. Gupta, S.C., Kapoor; Fundamental of Mathematical Statistics. New Delhi. Heyman, W. and R. Graham (eds.). 2000. The voice of the fishermen of Southern Belize, Toledo Institute for......

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...Tom’s Classic Mustangs Statistical Analysis of Sales Leadership and Organizational Behavior Introduction We have been asked to analyze nine different variables to determine what if any, relationship they may have against the selling price of used Ford Mustangs at Tom’s Classic Mustangs. We have been provided data for the last 25 Mustangs sold by Tom’s. Please see Appendix A for the raw data. We will be taking the data for each variable, determine a hypothesis between the variable and the selling price, then test to prove or disprove the hypothesis. A conclusion will be drawn from the test. Finally, after all the variables have been tested against the selling price, we will develop a multiple regression model of the selling price on the variable in the data set to determine which are significant and how the significant variables affect the price. Please note the following: • All analysis is based on the given data set. • All hypotheses are based on a confidence level of 95%. • Each variable group is tested against the same selling price data. Part I Variable 1 Convertible against selling price Null hypothesis: There is no relationship between convertible and selling price. Alternate hypothesis: There is a relationship between convertible and selling price. |Regression Analysis | | | | | | | ...

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...MA260 Assignment 05 Statistical Analysis I Click Link Below To Buy: http://hwcampus.com/shop/ma260-assignment-05-statistical-analysis/ Assignment 05 MA260 Statistical Analysis I Directions: Be sure to save an electronic copy of your answer before submitting it to Ashworth College for grading. Unless otherwise stated, answer in complete sentences, and be sure to use correct English, spelling, and grammar. Refer to the "Assignment Format" page located on the Course Home page for specific format requirements. NOTE: Show your work in the problems. 1. Compute the mean and variance of the following discrete probability distribution. x P(x) 2 .50 8 .30 10 .20 2. The Computer Systems Department has eight faculty, six of whom are tenured. Dr. Vonder, the chair, wants to establish a committee of three department faculty members to review the curriculum. If she selects the committee at random: a. What is the probability all members of the committee are tenured? b. What is the probability that at least one member is not tenured? (Hint: For this question, use the complement rule). 3. New Process, Inc., a large mail-order supplier of women’s fashions, advertises same-day service on every order. Recently, the movement of orders has not gone as planned, and there were a large number of complaints. Bud Owens, director of customer service, has completely redone the method of order handling. The goal is to have fewer than five unfilled orders on hand at the end......

Words: 669 - Pages: 3

...MA260 statistical analysis 1 Click Link Below To Buy: http://hwcampus.com/shop/ma260-statistical-analysis-1/ 1. A recent article in the Myrtle Beach Sun Times reported that the mean labor cost to repair a color television is $90 with a standard deviation of $22. Monte’s TV Sales and Service completed repairs on two sets this morning. The labor cost for the first was $75 and it was $100 for the second. Compute z values for each and comment on your findings. 2. The mean of a normal distribution is 400 pounds. The standard deviation is 10 pounds. a. What is the area between 415 pounds and the mean? b. What is the area between the mean and 395 pounds? c. What is the probability of selecting a value at random and discovering that it has a value of less than 395 pounds? 3. The monthly sales of mufflers in the Richmond, VA area follow the normal distribution with a mean of 1200 and a standard deviation of 225. The manufacturer would like to establish inventory levels such that there is only a 5% chance of running out of stock. Where should the manufacturer set the inventory levels? 4. Research on new juvenile delinquents revealed that 38% of them committed another crime. a. What is the probability that of the last 100 new juvenile delinquents put on probation, 30 or more will commit another crime? b. What is the probability that 40 or fewer of the delinquents will commit another crime? c. What is the probability that between 30 and 40 of the......

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...Professor Vaccaro MBAMS 630 – STATISTICAL ANALYSIS FOR MANAGERS SUMMER SESSION - I , 5th EXAMINATION ( Chapter 13 ) – Part I NAME ___Due Thursday, July 14th, 2016 MULTIPLE CHOICE : ( select the most correct response ) 1. The Y-intercept ( bo ) represents the: a. estimated average Y when X = 0. b. change in estimated average Y per unit change in X. c. predicted value of Y. d. variation around the sample regression line. 2. The slope ( b1 ) represents: a. predicted value of Y when X = 0. b. the estimated average change in Y per unit change in X. c. the predicted value of Y. d. variation around the line of regression. 3. The least squares method minimizes which of the following? a. SSR b. SSE c. SST d. all of the above A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of its product. To do this, the firm randomly chooses six (6) small cities and offers the candy bar at different prices. Using candy bar sales as the dependent variable, the company will construct a simple linear regression on the data below: City Price ($) Sales River Falls 1.30 100 Hudson 1.60 90 ...

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