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MATGAM02 Rasmussen Section 2 Module 2 Mathematics of Games Quiz
An event X can happen with probability P and Y can happen with P'. What is the probability that exactly one
MATGAM02 Rasmussen Section 2 Module 2 Mathematics of Games Quiz
An event X can happen with probability P and Y can happen with P'. What is the probability that exactly one
Walden University Week 6 Statistical Process Control Presentation
Submit your presentation based on the following prompts.Part 1: Explaining Statistical Process Control (8–10 slides, wit ...
Walden University Week 6 Statistical Process Control Presentation
Submit your presentation based on the following prompts.Part 1: Explaining Statistical Process Control (8–10 slides, with speaker’s notes) Define statistical process control (SPC) and briefly describe the history of SPC, focusing on its origins. (2 slides) Provide an example of a control chart (either one you create or one you locate on the web) and label the parts of the chart. (1 slide) Describe the derivation of the center line and control limits on a control chart and the meaning of each. (1–2 slides) Explain the two types of process variation—common cause and special cause. (2 slides) Describe at least two signals of special cause variation that might be detected in a control chart. (2–3 slides)Part 2: Applications of SPC in Business Decision Making (5–8 slides, with speaker’s notes) Identify at least two examples of the application of SPC in a business context. Select examples from multiple industries (e.g., manufacturing, health care, and service). For each example, describe how SPC was used to improve process, achieve better outcomes, and support sound decision making. (2–4 slides) For each type of process variation, describe the implications for management action. (2 slides) In conclusion, provide three potential benefits of SPC to the health care organization. Specifically, how might SPC help the company make sound decisions to the end of achieving its goals? Also, what, if any, drawbacks do you see to using SPC? Identify two possible risks of the use of SPC that the organization should be aware of. (1–2 slides)
The present annual operating budget for a company is $4,876,351
1. The present annual operating budget for a company is $4,876,351. Next year an increase is expected of anywhere from 4% ...
The present annual operating budget for a company is $4,876,351
1. The present annual operating budget for a company is $4,876,351. Next year an increase is expected of anywhere from 4% to 7%.The company anticipates opening new stores, anywhere from 5 to 10 new stores. Each new store will add an additional $329,500 to the budget.Create a spreadsheet for next year's operating budget reflecting the percentage increase (in 0.5% increments) and the addition of the new stores.2. A sample of guests at 4 hotels was taken to see which factors were important in deciding whether or not to return to the hotel: Hotel Palm Leaf Beach Bums Sun n Sand Sea n SurfReason for not ReturningPrice 24 8 38 10Location 37 14 7 20Service 15 6 14 9Accomodation 14 9 7 11Give the expected frequenciesGive the calculated Chi SquareGive the critical Chi SquareIs the reason for not returning independent of hotel (yes or no) Must answer yes or no for independence.Which hotels are under represented in the data for price? (The guests find price to be less important than you would expect.)3. Use 1 way ANOVA for this problem. Work the formulas by writing them into Excel. You may use the Analysis Tool-Pak in Excel ONLY to check your results.ALL WORK MUST BE SHOWN TO RECEIVE CREDIT FOR THIS PROBLEM.Null Hypothesis: No significant difference in gas mileage (shown in miles per gallon) in the 4 gasolines:Exxon Sunoco Hess Shell30 29 29 3225 26 34 2627 29 32 3126 28 33 27Give your calculations for SSAGive your calculations for SSWGive your ANOVA tableGive the calculated FGive the critical FIs the difference significant in the gasolines? (yes or no)Use the Tukey multiple comparisons test to tell which pairs of means show a significant difference:Give the critical range, giving the value for Q, etc.Show the difference between each pair of means.Which pair show a significant difference? Answer the question in terms of the gasolines?Which gasoline would you use for best mileage?4. The data below represent customer satisfaction on a scale of 1 to 10 for different roasts of coffee (Columbian espresso, French mocha, Brazilian, Italian espresso) made in different types of coffee makers (electric, drip, French press).Coffee maker Co. Esp. Fr. Mocha Brazilian It. Esp Electric 7.6 6.4 5.5 8.5 6.8 7.4 6.5 5.7 7.1 7.6 6.8 9.2Drip 8.8 9.9 7.8 8.8 9.6 9.3 7.9 8.3 8.9 8.5 8.2 8.3French Press 9.8 8.9 9.7 8.3 9.7 9.1 9.5 8.7 9.9 8.8 8.6 8.9a) Using 2 way ANOVA give the calculated F for customer satisfaction for: (please answer in order in receive credit). Also be clear which part you are answering in a), b), c) to receive credit.i) The different roastsii) The different coffee makersiii) The Interaction effectb) Does it appear that liking the specific roast is affected by the type of coffee maker (interaction effect). Please answer yes or no.Why? Give a reason for your answer.c) Is the difference significant among the roasts of coffee? Please answer yes or no.Why? Give a reason for your answer.d) Is the difference significant among the types of coffee makers? Please answer yes or no.Why? Give a reason for your answer.e) Use the Tukey multiple comparisons test to show which pairs of roasts or coffee makers show a significant difference. State whether you are using Factor A or Factor B and why. Give the calculations for the Critical Range (give the value of Q, MSE, c, r, n') and show each pair of means that you are comparing. Make a statement about which pairs (in words) show a significant difference.) f) Sketch the cell means plot.g) Make one statement concerning what your graph shows (something like customers prefer electric coffee makers, etc.)
Module 6 SPSS Data Interpretation, statistics homework help
Details:A correlation determines if there is any statistical relationship between variables. The Pearson product-moment co ...
Module 6 SPSS Data Interpretation, statistics homework help
Details:A correlation determines if there is any statistical relationship between variables. The Pearson product-moment correlation coefficient measures the relationship between two variables. In this assignment, you will review the SPSS output for a correlation and use it to answer questions about the groups. You will also review the SPSS output to determine if a correlation exists between the variables.General Requirements:Use the following information to ensure successful completion of the assignment:Review "SPSS Access Instructions" for information on how to access SPSS for this assignment.Download "SPSS Data Set Legend" for use with this assignment.Download "Module 6 Correlation SPSS Output" for use with this assignment.Access the SPSS data set "Drinks.sav" for use with this assignment.Directions: Review the data in the SPSS data set "Drinks.sav" and the SPSS output file, which reports the results of the correlation, to see if there is a correlation between the cost of beer and the number of calories it contains or the cost of beer and the volume of alcohol it contains. Address the following based on your observations of the SPSS output file:Based on the correlation coefficients (r-values) that were computed and their statistical significance, what conclusions do you draw regarding:The researcher's question of correlation between the cost of beer and the number of calories it contains.The researcher's question of correlation between the cost of beer and the volume of alcohol it contains.Please complete the assignment as required and please use the appropriate references , if applicable, and cite in APA 6th edition format. Please see the attached documentation for completion of assignment.
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Most Popular Content
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MATGAM02 Rasmussen Section 2 Module 2 Mathematics of Games Quiz
An event X can happen with probability P and Y can happen with P'. What is the probability that exactly one
MATGAM02 Rasmussen Section 2 Module 2 Mathematics of Games Quiz
An event X can happen with probability P and Y can happen with P'. What is the probability that exactly one
Walden University Week 6 Statistical Process Control Presentation
Submit your presentation based on the following prompts.Part 1: Explaining Statistical Process Control (8–10 slides, wit ...
Walden University Week 6 Statistical Process Control Presentation
Submit your presentation based on the following prompts.Part 1: Explaining Statistical Process Control (8–10 slides, with speaker’s notes) Define statistical process control (SPC) and briefly describe the history of SPC, focusing on its origins. (2 slides) Provide an example of a control chart (either one you create or one you locate on the web) and label the parts of the chart. (1 slide) Describe the derivation of the center line and control limits on a control chart and the meaning of each. (1–2 slides) Explain the two types of process variation—common cause and special cause. (2 slides) Describe at least two signals of special cause variation that might be detected in a control chart. (2–3 slides)Part 2: Applications of SPC in Business Decision Making (5–8 slides, with speaker’s notes) Identify at least two examples of the application of SPC in a business context. Select examples from multiple industries (e.g., manufacturing, health care, and service). For each example, describe how SPC was used to improve process, achieve better outcomes, and support sound decision making. (2–4 slides) For each type of process variation, describe the implications for management action. (2 slides) In conclusion, provide three potential benefits of SPC to the health care organization. Specifically, how might SPC help the company make sound decisions to the end of achieving its goals? Also, what, if any, drawbacks do you see to using SPC? Identify two possible risks of the use of SPC that the organization should be aware of. (1–2 slides)
The present annual operating budget for a company is $4,876,351
1. The present annual operating budget for a company is $4,876,351. Next year an increase is expected of anywhere from 4% ...
The present annual operating budget for a company is $4,876,351
1. The present annual operating budget for a company is $4,876,351. Next year an increase is expected of anywhere from 4% to 7%.The company anticipates opening new stores, anywhere from 5 to 10 new stores. Each new store will add an additional $329,500 to the budget.Create a spreadsheet for next year's operating budget reflecting the percentage increase (in 0.5% increments) and the addition of the new stores.2. A sample of guests at 4 hotels was taken to see which factors were important in deciding whether or not to return to the hotel: Hotel Palm Leaf Beach Bums Sun n Sand Sea n SurfReason for not ReturningPrice 24 8 38 10Location 37 14 7 20Service 15 6 14 9Accomodation 14 9 7 11Give the expected frequenciesGive the calculated Chi SquareGive the critical Chi SquareIs the reason for not returning independent of hotel (yes or no) Must answer yes or no for independence.Which hotels are under represented in the data for price? (The guests find price to be less important than you would expect.)3. Use 1 way ANOVA for this problem. Work the formulas by writing them into Excel. You may use the Analysis Tool-Pak in Excel ONLY to check your results.ALL WORK MUST BE SHOWN TO RECEIVE CREDIT FOR THIS PROBLEM.Null Hypothesis: No significant difference in gas mileage (shown in miles per gallon) in the 4 gasolines:Exxon Sunoco Hess Shell30 29 29 3225 26 34 2627 29 32 3126 28 33 27Give your calculations for SSAGive your calculations for SSWGive your ANOVA tableGive the calculated FGive the critical FIs the difference significant in the gasolines? (yes or no)Use the Tukey multiple comparisons test to tell which pairs of means show a significant difference:Give the critical range, giving the value for Q, etc.Show the difference between each pair of means.Which pair show a significant difference? Answer the question in terms of the gasolines?Which gasoline would you use for best mileage?4. The data below represent customer satisfaction on a scale of 1 to 10 for different roasts of coffee (Columbian espresso, French mocha, Brazilian, Italian espresso) made in different types of coffee makers (electric, drip, French press).Coffee maker Co. Esp. Fr. Mocha Brazilian It. Esp Electric 7.6 6.4 5.5 8.5 6.8 7.4 6.5 5.7 7.1 7.6 6.8 9.2Drip 8.8 9.9 7.8 8.8 9.6 9.3 7.9 8.3 8.9 8.5 8.2 8.3French Press 9.8 8.9 9.7 8.3 9.7 9.1 9.5 8.7 9.9 8.8 8.6 8.9a) Using 2 way ANOVA give the calculated F for customer satisfaction for: (please answer in order in receive credit). Also be clear which part you are answering in a), b), c) to receive credit.i) The different roastsii) The different coffee makersiii) The Interaction effectb) Does it appear that liking the specific roast is affected by the type of coffee maker (interaction effect). Please answer yes or no.Why? Give a reason for your answer.c) Is the difference significant among the roasts of coffee? Please answer yes or no.Why? Give a reason for your answer.d) Is the difference significant among the types of coffee makers? Please answer yes or no.Why? Give a reason for your answer.e) Use the Tukey multiple comparisons test to show which pairs of roasts or coffee makers show a significant difference. State whether you are using Factor A or Factor B and why. Give the calculations for the Critical Range (give the value of Q, MSE, c, r, n') and show each pair of means that you are comparing. Make a statement about which pairs (in words) show a significant difference.) f) Sketch the cell means plot.g) Make one statement concerning what your graph shows (something like customers prefer electric coffee makers, etc.)
Module 6 SPSS Data Interpretation, statistics homework help
Details:A correlation determines if there is any statistical relationship between variables. The Pearson product-moment co ...
Module 6 SPSS Data Interpretation, statistics homework help
Details:A correlation determines if there is any statistical relationship between variables. The Pearson product-moment correlation coefficient measures the relationship between two variables. In this assignment, you will review the SPSS output for a correlation and use it to answer questions about the groups. You will also review the SPSS output to determine if a correlation exists between the variables.General Requirements:Use the following information to ensure successful completion of the assignment:Review "SPSS Access Instructions" for information on how to access SPSS for this assignment.Download "SPSS Data Set Legend" for use with this assignment.Download "Module 6 Correlation SPSS Output" for use with this assignment.Access the SPSS data set "Drinks.sav" for use with this assignment.Directions: Review the data in the SPSS data set "Drinks.sav" and the SPSS output file, which reports the results of the correlation, to see if there is a correlation between the cost of beer and the number of calories it contains or the cost of beer and the volume of alcohol it contains. Address the following based on your observations of the SPSS output file:Based on the correlation coefficients (r-values) that were computed and their statistical significance, what conclusions do you draw regarding:The researcher's question of correlation between the cost of beer and the number of calories it contains.The researcher's question of correlation between the cost of beer and the volume of alcohol it contains.Please complete the assignment as required and please use the appropriate references , if applicable, and cite in APA 6th edition format. Please see the attached documentation for completion of assignment.
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