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Introduction to Casino Management
I need both Assignment's done on seperate files. Just include answers in the right floder. I gave you a nice powerpoint to ...
Introduction to Casino Management
I need both Assignment's done on seperate files. Just include answers in the right floder. I gave you a nice powerpoint to help you with the question's ThankyouStephen
Walden University Wk 1 Probability Distributions Affect Decisions Discussion
Imagine if you were offered a job in a different state and a major consideration for you is rent prices (assuming you plan ...
Walden University Wk 1 Probability Distributions Affect Decisions Discussion
Imagine if you were offered a job in a different state and a major consideration for you is rent prices (assuming you planned to rent instead of buy). Your main concerns are the affordability in relation to your income and the location/condition of the property. Perhaps you would look for the cheapest rent possible within a quiet, residential community. Or, you might be willing to spend at little more than average to live in the heart of downtown. As you research the city, you learn that the mean for rents of your preferred home size are $1,300 a month. Many people might base their decision on this number alone, but you—equipped with the knowledge of standard deviation—know there is more to that number.If the most you could afford is $1,100 a month in rent, then a standard deviation of $250 might be good news because the amount you can afford is still within 1 deviation of the mean. With a standard deviation of $75, however, you might be unwilling to make the sacrifices necessary to rent a place that you could afford. Additionally, if you were willing to spend a little more than average to live in a nice place or area, then you could easily find an amazing place with a standard deviation of $100 but might not be able to afford the upgrade with a standard deviation of $300.In this Discussion, you will use the data that you gathered in the Week 1 Discussion to calculate a standard deviation and explain how this concept can affect decision making.Locate the data that you gathered for the Week 1 Discussion.Calculate the sample standard deviation from your cigarette price data in Week 1. Use that (and your sample average and sample size) to calculate the following (assuming a normal distribution):Within what range would you find 90% of cigarette prices in your area?What are the chances that someone in your area would pay 4 dollars or less per pack?What are the chances that someone in your area would pay 10 dollars or less per pack?Week 1 is attached
MTH410 CSU Global Week 4 International Tractor Motors Critical Thinking HW
Option #1: Tractor SalesInternational Tractor Motors (ITM) had recently undertaken an ad campaign aimed at agricultural ow ...
MTH410 CSU Global Week 4 International Tractor Motors Critical Thinking HW
Option #1: Tractor SalesInternational Tractor Motors (ITM) had recently undertaken an ad campaign aimed at agricultural owners in a certain country in Asia. The ad campaign was devoted to promoting the new IT-8 large specialty tractor. Four sales associates were assigned to sell in different medium to large farms throughout the country for many days. One associate was assigned to the northern part of the country. Another was assigned to the southern part. The other two were assigned to the west and east, respectively. Because of regulations, a sales associate can sell at most one IT-8 tractor per day and only one such tractor per farm, too. A sales associate was successful if he/she sold a tractor during the day. Thus, ITM can sell at most 4 tractors (4 total sales) per day in this country.Download the file titled Tractor Successes. It contains a scatter plot of the number of successes versus frequency. To compare the results to the Binomial Distribution, complete the following:Explain why this tractor sales scenario can be a binomial experiment.Using the Tractor Successes scatter plot, construct a frequency distribution for the number of successes.Compute the mean number of successes. The formula for the mean is as follows: ∑ ( x ⋅ f ) ∑ fThe terms x represent the total number of successes (0, 1, 2, 3, 4) and f is the corresponding frequency (number of days where x successes occurred).Explain what the numerical result means.From the frequency distribution, construct the corresponding relative frequency distribution.Explain why the relative frequency distribution table is a probability distribution.Then, use Excel to create a scatter plot of the probability distribution:Select the two columns of the probability distribution. Click on INSERT, and then go to the Charts area and select Scatter. Then choose the first Scatter chart (the one without lines connecting).Using the frequency distribution, what is the tractor sales success average? In part 3, note that the numerator in the formula for the mean is the total number of successes. The total number of trials is the denominator of the formula for the mean multiplied by 4. What does this average mean?The Binomial Distribution is uniquely determined by n, the number of trials, and p, the probability of “success” on each trial. Using Excel, construct the Binomial Probability Distribution for four trials, n, and probability of success, p, as the tractor sales success average in part 5. Here is an explanation of the BINOM.DIST function in Excel: https://support.office.com/en-ie/article/BINOM-DIST-function-c5ae37b6-f39c-4be2-94c2-509a1480770c?ui=en-US&rs=en-IE&ad=I (Links to an external site.)For example, In Excel=BINOM.DIST(7,15,0.7, FALSE)represents the probability of 7 successes out of 15 (n) trials. The 0.7 is the probability of success, p.Using the above value of n=4 with probability of success, p, as the tractor sales success average in part 5, what is the probability of at least two successes?Using the formula for the mean of the Binomial Distribution, what is the mean number of successes in part 6 above?In Excel, create a scatter plot for the Binomial Distribution. The instructions for creating a scatter plot are in part 4 above.Use the results above to compare the probability distribution of tractor sales successes and the Binomial Distribution. Compare the means in parts 4 and 6, too.If the probability distribution of tractor sales successes and the Binomial Distribution differ, explain why that is so.Do you think the Binomial Distribution is a good model for the tractor sales success scenario? Why or why not?How can International Tractor Motors use the Binomial Distribution to approximate tractor sales in similar countries?In what other scenarios can International Tractor Motors use the Binomial Distribution? Explain.Write a report that adheres to the formatting and APA expectations outlined on the Citing & APA Resources page (Links to an external site.) in the CSU-Global Writing Center. As with all written assignments at CSU-Global, you should have in-text citations and a reference page.Submit your Excel file in addition to your report.Requirements:The paper must be written in third person.Your paper should be four to five pages in length (counting the title page and references page) and cite and integrate at least one credible outside source. The CSU-Global Library (Links to an external site.) is a great place to find resources.Include a title page, introduction, body, conclusion, and a reference page.The introduction should describe or summarize the topic or problem. It might discuss the importance of the topic or how it affects you or society, or it might discuss or describe the unique terminology associated with the topic.The body of your paper should answer the questions posed in the problem. Explain how you approached and answered the question or solved the problem, and, for each question, show all steps involved. Be sure the Word document is in paragraph format, not numbered answers like a homework assignment.The conclusion should summarize your thoughts about what you have determined from the data and your analysis, often with a broader personal or societal perspective in mind. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs. Your conclusion should emanate from (be aligned with) your findings.Include any tables of data or calculations, calculated values, and/or graphs associated with this problem in the body of your assignment.Document formatting, citations, and style should conform to the CSU-Global Virtual Library CSU-Global Guide to Writing and APA: Introduction (Links to an external site.). A short summary containing guidelines for paper formatting, citations, and references is contained in the New Sample APA Paper (Links to an external site.). In addition, information in the CSU-Global Virtual Library under the Writing Center/APA Resources tab (Links to an external site.) has many helpful areas (Writing Center, Writing Tips, Template & Examples/Papers & Essays, and others).
STAT 425 University of California Combining Data Sets & Statistical Software Questions
detail see the attached file : Only Part1 and Part2Part I: Combining SAS Data Sets1. Concatenating Data Sets with Variable ...
STAT 425 University of California Combining Data Sets & Statistical Software Questions
detail see the attached file : Only Part1 and Part2Part I: Combining SAS Data Sets1. Concatenating Data Sets with Variables of Different Lengths and Typesa. Open p110e03. Submit the PROC CONTENTS steps or explore the data sets interactively to complete the table below. Fill in attribute information for each variable in each data set.CodeCompanyContactTypeTypeLengthTypeLengthTypeLengthorion.charitiesorion.us_suppliersorion.consultantsb. Write a DATA step to concatenate orion.charities and orion.us_suppliers and create a temporary data set, contacts.c. Submit a PROC CONTENTS step to examine work.contacts. From which input data set were the variable attributes assigned?d. Write a DATA step to concatenate orion.us_suppliers and orion.charities and create a temporary data set, contacts2. Notice that these are the same data sets as in the previous program, but they are in reverse order.e. Submit a PROC CONTENTS step to examine work.contacts2. From which input data set were the variable attributes assigned?f. Write a DATA step to concatenate orion.us_suppliers and orion.consultants and create a temporary data set, contacts3.Why did the DATA step fail?1. Merging a Sorted Data Set and an Unsorted Data Set in a One-to-Many Mergea. Sort orion.product_list by Product_Level to create a new data set, work.product_list.b. Merge orion.product_level with the sorted data set. Create a new data set, work.listlevel, which includes only Product_ID, Product_Name, Product_Level, and Product_Level_Name.c. Create the report below. Include only those observations with Product Level equal to 3.The results should contain 13 observations.Partial PROC PRINT OutputProduct_ Product_Level_Level Name Product_ID Product_Name3 Product Category 210100000000 Children Outdoors3 Product Category 210200000000 Children Sports3 Product Category 220100000000 Clothes3 Product Category 220200000000 Shoes3 Product Category 230100000000 Outdoors2. Merging Using the IN= and RENAME= Optionsa. Write a PROC SORT step to sort orion.customer by Country to create a new data set, work.customer.b. Write a DATA step to merge the resulting data set with orion.lookup_country by Countryto create a new data set, work.allcustomer.In the orion.lookup_country data set, rename Start to Country and rename Label to Country_Name.Include only four variables: Customer_ID, Country, Customer_Name, and Country_Name.c. Create the report below. The results should contain 308 observations.Partial PROC PRINT OutputObs Customer_ID Country Customer_Name Country_Name1 . AD Andorra2 . AE United Arab Emirates...306 3959 ZA Rita Lotz South Africa307 . ZM Zambia308 . ZW Zimbabwed. Modify the DATA step to store only those observations that contain both customer informationand country information. A subsetting IF statement that references the IN= variables in the MERGE statement must be added.e. Submit the program to create the report below. The results should contain 77 observations.Partial PROC PRINT OutputCountry_Obs Customer_ID Country Customer_Name Name1 29 AU Candy Kinsey Australia2 41 AU Wendell Summersby Australia3 53 AU Dericka Pockran Australia4 111 AU Karolina Dokter Australia5 171 AU Robert Bowerman Australia
3 pages
Answer
1 a) No, the economist did not make a mistake in his research if, in the random sample, the sample mean difference is grea ...
Answer
1 a) No, the economist did not make a mistake in his research if, in the random sample, the sample mean difference is greater than zero even if the ...
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Introduction to Casino Management
I need both Assignment's done on seperate files. Just include answers in the right floder. I gave you a nice powerpoint to ...
Introduction to Casino Management
I need both Assignment's done on seperate files. Just include answers in the right floder. I gave you a nice powerpoint to help you with the question's ThankyouStephen
Walden University Wk 1 Probability Distributions Affect Decisions Discussion
Imagine if you were offered a job in a different state and a major consideration for you is rent prices (assuming you plan ...
Walden University Wk 1 Probability Distributions Affect Decisions Discussion
Imagine if you were offered a job in a different state and a major consideration for you is rent prices (assuming you planned to rent instead of buy). Your main concerns are the affordability in relation to your income and the location/condition of the property. Perhaps you would look for the cheapest rent possible within a quiet, residential community. Or, you might be willing to spend at little more than average to live in the heart of downtown. As you research the city, you learn that the mean for rents of your preferred home size are $1,300 a month. Many people might base their decision on this number alone, but you—equipped with the knowledge of standard deviation—know there is more to that number.If the most you could afford is $1,100 a month in rent, then a standard deviation of $250 might be good news because the amount you can afford is still within 1 deviation of the mean. With a standard deviation of $75, however, you might be unwilling to make the sacrifices necessary to rent a place that you could afford. Additionally, if you were willing to spend a little more than average to live in a nice place or area, then you could easily find an amazing place with a standard deviation of $100 but might not be able to afford the upgrade with a standard deviation of $300.In this Discussion, you will use the data that you gathered in the Week 1 Discussion to calculate a standard deviation and explain how this concept can affect decision making.Locate the data that you gathered for the Week 1 Discussion.Calculate the sample standard deviation from your cigarette price data in Week 1. Use that (and your sample average and sample size) to calculate the following (assuming a normal distribution):Within what range would you find 90% of cigarette prices in your area?What are the chances that someone in your area would pay 4 dollars or less per pack?What are the chances that someone in your area would pay 10 dollars or less per pack?Week 1 is attached
MTH410 CSU Global Week 4 International Tractor Motors Critical Thinking HW
Option #1: Tractor SalesInternational Tractor Motors (ITM) had recently undertaken an ad campaign aimed at agricultural ow ...
MTH410 CSU Global Week 4 International Tractor Motors Critical Thinking HW
Option #1: Tractor SalesInternational Tractor Motors (ITM) had recently undertaken an ad campaign aimed at agricultural owners in a certain country in Asia. The ad campaign was devoted to promoting the new IT-8 large specialty tractor. Four sales associates were assigned to sell in different medium to large farms throughout the country for many days. One associate was assigned to the northern part of the country. Another was assigned to the southern part. The other two were assigned to the west and east, respectively. Because of regulations, a sales associate can sell at most one IT-8 tractor per day and only one such tractor per farm, too. A sales associate was successful if he/she sold a tractor during the day. Thus, ITM can sell at most 4 tractors (4 total sales) per day in this country.Download the file titled Tractor Successes. It contains a scatter plot of the number of successes versus frequency. To compare the results to the Binomial Distribution, complete the following:Explain why this tractor sales scenario can be a binomial experiment.Using the Tractor Successes scatter plot, construct a frequency distribution for the number of successes.Compute the mean number of successes. The formula for the mean is as follows: ∑ ( x ⋅ f ) ∑ fThe terms x represent the total number of successes (0, 1, 2, 3, 4) and f is the corresponding frequency (number of days where x successes occurred).Explain what the numerical result means.From the frequency distribution, construct the corresponding relative frequency distribution.Explain why the relative frequency distribution table is a probability distribution.Then, use Excel to create a scatter plot of the probability distribution:Select the two columns of the probability distribution. Click on INSERT, and then go to the Charts area and select Scatter. Then choose the first Scatter chart (the one without lines connecting).Using the frequency distribution, what is the tractor sales success average? In part 3, note that the numerator in the formula for the mean is the total number of successes. The total number of trials is the denominator of the formula for the mean multiplied by 4. What does this average mean?The Binomial Distribution is uniquely determined by n, the number of trials, and p, the probability of “success” on each trial. Using Excel, construct the Binomial Probability Distribution for four trials, n, and probability of success, p, as the tractor sales success average in part 5. Here is an explanation of the BINOM.DIST function in Excel: https://support.office.com/en-ie/article/BINOM-DIST-function-c5ae37b6-f39c-4be2-94c2-509a1480770c?ui=en-US&rs=en-IE&ad=I (Links to an external site.)For example, In Excel=BINOM.DIST(7,15,0.7, FALSE)represents the probability of 7 successes out of 15 (n) trials. The 0.7 is the probability of success, p.Using the above value of n=4 with probability of success, p, as the tractor sales success average in part 5, what is the probability of at least two successes?Using the formula for the mean of the Binomial Distribution, what is the mean number of successes in part 6 above?In Excel, create a scatter plot for the Binomial Distribution. The instructions for creating a scatter plot are in part 4 above.Use the results above to compare the probability distribution of tractor sales successes and the Binomial Distribution. Compare the means in parts 4 and 6, too.If the probability distribution of tractor sales successes and the Binomial Distribution differ, explain why that is so.Do you think the Binomial Distribution is a good model for the tractor sales success scenario? Why or why not?How can International Tractor Motors use the Binomial Distribution to approximate tractor sales in similar countries?In what other scenarios can International Tractor Motors use the Binomial Distribution? Explain.Write a report that adheres to the formatting and APA expectations outlined on the Citing & APA Resources page (Links to an external site.) in the CSU-Global Writing Center. As with all written assignments at CSU-Global, you should have in-text citations and a reference page.Submit your Excel file in addition to your report.Requirements:The paper must be written in third person.Your paper should be four to five pages in length (counting the title page and references page) and cite and integrate at least one credible outside source. The CSU-Global Library (Links to an external site.) is a great place to find resources.Include a title page, introduction, body, conclusion, and a reference page.The introduction should describe or summarize the topic or problem. It might discuss the importance of the topic or how it affects you or society, or it might discuss or describe the unique terminology associated with the topic.The body of your paper should answer the questions posed in the problem. Explain how you approached and answered the question or solved the problem, and, for each question, show all steps involved. Be sure the Word document is in paragraph format, not numbered answers like a homework assignment.The conclusion should summarize your thoughts about what you have determined from the data and your analysis, often with a broader personal or societal perspective in mind. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs. Your conclusion should emanate from (be aligned with) your findings.Include any tables of data or calculations, calculated values, and/or graphs associated with this problem in the body of your assignment.Document formatting, citations, and style should conform to the CSU-Global Virtual Library CSU-Global Guide to Writing and APA: Introduction (Links to an external site.). A short summary containing guidelines for paper formatting, citations, and references is contained in the New Sample APA Paper (Links to an external site.). In addition, information in the CSU-Global Virtual Library under the Writing Center/APA Resources tab (Links to an external site.) has many helpful areas (Writing Center, Writing Tips, Template & Examples/Papers & Essays, and others).
STAT 425 University of California Combining Data Sets & Statistical Software Questions
detail see the attached file : Only Part1 and Part2Part I: Combining SAS Data Sets1. Concatenating Data Sets with Variable ...
STAT 425 University of California Combining Data Sets & Statistical Software Questions
detail see the attached file : Only Part1 and Part2Part I: Combining SAS Data Sets1. Concatenating Data Sets with Variables of Different Lengths and Typesa. Open p110e03. Submit the PROC CONTENTS steps or explore the data sets interactively to complete the table below. Fill in attribute information for each variable in each data set.CodeCompanyContactTypeTypeLengthTypeLengthTypeLengthorion.charitiesorion.us_suppliersorion.consultantsb. Write a DATA step to concatenate orion.charities and orion.us_suppliers and create a temporary data set, contacts.c. Submit a PROC CONTENTS step to examine work.contacts. From which input data set were the variable attributes assigned?d. Write a DATA step to concatenate orion.us_suppliers and orion.charities and create a temporary data set, contacts2. Notice that these are the same data sets as in the previous program, but they are in reverse order.e. Submit a PROC CONTENTS step to examine work.contacts2. From which input data set were the variable attributes assigned?f. Write a DATA step to concatenate orion.us_suppliers and orion.consultants and create a temporary data set, contacts3.Why did the DATA step fail?1. Merging a Sorted Data Set and an Unsorted Data Set in a One-to-Many Mergea. Sort orion.product_list by Product_Level to create a new data set, work.product_list.b. Merge orion.product_level with the sorted data set. Create a new data set, work.listlevel, which includes only Product_ID, Product_Name, Product_Level, and Product_Level_Name.c. Create the report below. Include only those observations with Product Level equal to 3.The results should contain 13 observations.Partial PROC PRINT OutputProduct_ Product_Level_Level Name Product_ID Product_Name3 Product Category 210100000000 Children Outdoors3 Product Category 210200000000 Children Sports3 Product Category 220100000000 Clothes3 Product Category 220200000000 Shoes3 Product Category 230100000000 Outdoors2. Merging Using the IN= and RENAME= Optionsa. Write a PROC SORT step to sort orion.customer by Country to create a new data set, work.customer.b. Write a DATA step to merge the resulting data set with orion.lookup_country by Countryto create a new data set, work.allcustomer.In the orion.lookup_country data set, rename Start to Country and rename Label to Country_Name.Include only four variables: Customer_ID, Country, Customer_Name, and Country_Name.c. Create the report below. The results should contain 308 observations.Partial PROC PRINT OutputObs Customer_ID Country Customer_Name Country_Name1 . AD Andorra2 . AE United Arab Emirates...306 3959 ZA Rita Lotz South Africa307 . ZM Zambia308 . ZW Zimbabwed. Modify the DATA step to store only those observations that contain both customer informationand country information. A subsetting IF statement that references the IN= variables in the MERGE statement must be added.e. Submit the program to create the report below. The results should contain 77 observations.Partial PROC PRINT OutputCountry_Obs Customer_ID Country Customer_Name Name1 29 AU Candy Kinsey Australia2 41 AU Wendell Summersby Australia3 53 AU Dericka Pockran Australia4 111 AU Karolina Dokter Australia5 171 AU Robert Bowerman Australia
3 pages
Answer
1 a) No, the economist did not make a mistake in his research if, in the random sample, the sample mean difference is grea ...
Answer
1 a) No, the economist did not make a mistake in his research if, in the random sample, the sample mean difference is greater than zero even if the ...
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