show that the payment required to repay a loan of $150000 in 360 months at 5% interest is $805.23
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show that the payment required to repay a loan of $150000 in 360 months at 5% interest is $805.23 using the equation A=P(r/12)/1-(1+r/12)-n
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Abraham Lincoln University Population Statistics for Business Discussion
What is it meant by the term “parameter of a population”? Explain why a population can be represented by a random vari ...
Abraham Lincoln University Population Statistics for Business Discussion
What is it meant by the term “parameter of a population”? Explain why a population can be represented by a random variable.What is a point estimate, and an unbiased point estimate? Explain how the sample mean can be an unbiased estimate of the population mean. How do you justify that the sample variance is an unbiased estimate of the population variance? What is the sampling requirement in the latter case? Provide a numerical example of estimating the mean, the variance, and the standard deviation.Please define each of the following terms, discuss applicability and significance of each: sample statistic, standard error, sampling distribution, and central limit theorem. Include hypothetical examples for better clarity. What is the z statistic and what qualifies a statistic to be z statistic based on the central limit theorem and the basic properties of normal distributions? What are the limitations of the central limit theorem, and how some of these limitations are bypassed? For example, the z statistic as the sampling distribution in estimating a proportion.What is the sampling distribution in estimating the variance of a population? What are the properties of this distribution?What is the alternative of z statistic for normally distributed populations which eliminates some limitations of the central limit theorem? How this sampling distribution is constructed as a combination of a z distribution and a chi squared distribution? What are the properties of this distribution? (To provide numerical examples to answer questions mentioned above, for example, in the third item above, you can use the Excel function RAND to generate a sample of a uniform random variable, and the combination of RAND and NORM.INV to generate a sample of a normal random ).Please use APA format with peer reviewed references .
UCLA Effect of Advertisement on Sales Construct a Scatter Plot Data Excel Task
Respond to the following in a minimum of 175 words:Models help us describe and summarize relationships between variables. ...
UCLA Effect of Advertisement on Sales Construct a Scatter Plot Data Excel Task
Respond to the following in a minimum of 175 words:Models help us describe and summarize relationships between variables. Understanding how process variables relate to each other helps businesses predict and improve performance. For example, a marketing manager might be interested in modeling the relationship between advertisement expenditures and sales revenues.Consider the dataset below and respond to the questions that follow:Advertisement ($'000) Sales ($'000)1068 44891026 5611767 3290885 41131156 48831146 5425892 4414938 5506769 3346677 36731184 65421009 5088Construct a scatter plot with this data.Do you observe a relationship between both variables?Use Excel to fit a linear regression line to the data. What is the fitted regression model? (Hint: You can follow the steps outlined on page 497 of the textbook.)What is the slope? What does the slope tell us?Is the slope significant?What is the intercept? Is it meaningful?What is the value of the regression coefficient,r? What is the value of the coefficient of determination, r^2? What does r^2 tell us?Use the model to predict sales and the business spends $950,000 in advertisement. Does the model underestimate or overestimates ales?
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20171212003730sym 506 Bus Info 1
Refer to the Buena School District bus data. Select the variable referring c. Draw a cumulative frequency distribution. Fo ...
20171212003730sym 506 Bus Info 1
Refer to the Buena School District bus data. Select the variable referring c. Draw a cumulative frequency distribution. Forty percent of the buses
Discussion:Displaying Data
For this Discussion, you will explore ways to appropriately display data. To prepare for this Discussion: Review the L ...
Discussion:Displaying Data
For this Discussion, you will explore ways to appropriately display data. To prepare for this Discussion: Review the Learning Resources for this week related to frequency distributions and graphic displays of data. Using the SPSS software, open the General Social Survey dataset found in this week’s Learning Resources. Next, create a figure or table from a few selected variables within the dataset. Finally, think about what is good about how the data are displayed in the figure or table you created and what is not so good. Display of the table or figure you created and provide an explanation of why this would be the best way to display the data provided, include the General Social Survey Dataset’s mean of Age to verify the dataset you used. Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style. Learning Resources Required Readings Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications. Chapter 2, “The Organization and Graphic Presentation Data” (pp. 27-74) Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications. Chapter 5, “Charts and Graphs” Chapter 11, “Editing Output” Walden University Writing Center. (n.d.). General guidance on data displays. Retrieved from http://waldenwritingcenter.blogspot.com/2013/02/general-guidance-on-data-displays.html Use this website to guide you as you provide appropriate APA formatting and citations for data displays. Datasets Your instructor will post the datasets for the course in the Doc Sharing section and in an Announcement. Your instructor may also recommend using a different dataset from the ones provided here. Required Media Laureate Education (Producer). (2016j). Visual displays of data [Video file]. Baltimore, MD: Author. Note: The approximate length of this media piece is 9 minutes. In this media program, Dr. Matt Jones discusses frequency distributions. Focus on how his explanation might support your analysis in this week’s Assignment. Accessible player --Downloads-- Download Video w/CC Download Audio Download Transcript Optional Resources Skill Builders: Visual Displays for Continuous VariablesVisual Displays for Categorical Variables To access these Skill Builders, navigate back to your Blackboard Course Home page, and locate “Skill Builders” in the left navigation pane. From there, click on the relevant Skill Builder link for this week. You are encouraged to click through these and all Skill Builders to gain additional practice with these concepts. Doing so will bolster your knowledge of the concepts you’re learning this week and throughout the course.
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Do the following problems from chapters 8 and 9 and the regression analysis CH8PROBLEM 18 AND 13CH9PROBLEM 4 AND 20As ...
Regression Analysis, assignment help
Do the following problems from chapters 8 and 9 and the regression analysis CH8PROBLEM 18 AND 13CH9PROBLEM 4 AND 20Assignment - Regression AnalysisComplete the regression assignment on page 272 (PLE case). Do only the part pertaining to employee retention, and also pay attention to the final paragraph. The Employee Retention worksheet is in the Excel file called Performance Lawn Equipment.
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Abraham Lincoln University Population Statistics for Business Discussion
What is it meant by the term “parameter of a population”? Explain why a population can be represented by a random vari ...
Abraham Lincoln University Population Statistics for Business Discussion
What is it meant by the term “parameter of a population”? Explain why a population can be represented by a random variable.What is a point estimate, and an unbiased point estimate? Explain how the sample mean can be an unbiased estimate of the population mean. How do you justify that the sample variance is an unbiased estimate of the population variance? What is the sampling requirement in the latter case? Provide a numerical example of estimating the mean, the variance, and the standard deviation.Please define each of the following terms, discuss applicability and significance of each: sample statistic, standard error, sampling distribution, and central limit theorem. Include hypothetical examples for better clarity. What is the z statistic and what qualifies a statistic to be z statistic based on the central limit theorem and the basic properties of normal distributions? What are the limitations of the central limit theorem, and how some of these limitations are bypassed? For example, the z statistic as the sampling distribution in estimating a proportion.What is the sampling distribution in estimating the variance of a population? What are the properties of this distribution?What is the alternative of z statistic for normally distributed populations which eliminates some limitations of the central limit theorem? How this sampling distribution is constructed as a combination of a z distribution and a chi squared distribution? What are the properties of this distribution? (To provide numerical examples to answer questions mentioned above, for example, in the third item above, you can use the Excel function RAND to generate a sample of a uniform random variable, and the combination of RAND and NORM.INV to generate a sample of a normal random ).Please use APA format with peer reviewed references .
UCLA Effect of Advertisement on Sales Construct a Scatter Plot Data Excel Task
Respond to the following in a minimum of 175 words:Models help us describe and summarize relationships between variables. ...
UCLA Effect of Advertisement on Sales Construct a Scatter Plot Data Excel Task
Respond to the following in a minimum of 175 words:Models help us describe and summarize relationships between variables. Understanding how process variables relate to each other helps businesses predict and improve performance. For example, a marketing manager might be interested in modeling the relationship between advertisement expenditures and sales revenues.Consider the dataset below and respond to the questions that follow:Advertisement ($'000) Sales ($'000)1068 44891026 5611767 3290885 41131156 48831146 5425892 4414938 5506769 3346677 36731184 65421009 5088Construct a scatter plot with this data.Do you observe a relationship between both variables?Use Excel to fit a linear regression line to the data. What is the fitted regression model? (Hint: You can follow the steps outlined on page 497 of the textbook.)What is the slope? What does the slope tell us?Is the slope significant?What is the intercept? Is it meaningful?What is the value of the regression coefficient,r? What is the value of the coefficient of determination, r^2? What does r^2 tell us?Use the model to predict sales and the business spends $950,000 in advertisement. Does the model underestimate or overestimates ales?
21 pages
20171212003730sym 506 Bus Info 1
Refer to the Buena School District bus data. Select the variable referring c. Draw a cumulative frequency distribution. Fo ...
20171212003730sym 506 Bus Info 1
Refer to the Buena School District bus data. Select the variable referring c. Draw a cumulative frequency distribution. Forty percent of the buses
Discussion:Displaying Data
For this Discussion, you will explore ways to appropriately display data. To prepare for this Discussion: Review the L ...
Discussion:Displaying Data
For this Discussion, you will explore ways to appropriately display data. To prepare for this Discussion: Review the Learning Resources for this week related to frequency distributions and graphic displays of data. Using the SPSS software, open the General Social Survey dataset found in this week’s Learning Resources. Next, create a figure or table from a few selected variables within the dataset. Finally, think about what is good about how the data are displayed in the figure or table you created and what is not so good. Display of the table or figure you created and provide an explanation of why this would be the best way to display the data provided, include the General Social Survey Dataset’s mean of Age to verify the dataset you used. Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style. Learning Resources Required Readings Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications. Chapter 2, “The Organization and Graphic Presentation Data” (pp. 27-74) Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications. Chapter 5, “Charts and Graphs” Chapter 11, “Editing Output” Walden University Writing Center. (n.d.). General guidance on data displays. Retrieved from http://waldenwritingcenter.blogspot.com/2013/02/general-guidance-on-data-displays.html Use this website to guide you as you provide appropriate APA formatting and citations for data displays. Datasets Your instructor will post the datasets for the course in the Doc Sharing section and in an Announcement. Your instructor may also recommend using a different dataset from the ones provided here. Required Media Laureate Education (Producer). (2016j). Visual displays of data [Video file]. Baltimore, MD: Author. Note: The approximate length of this media piece is 9 minutes. In this media program, Dr. Matt Jones discusses frequency distributions. Focus on how his explanation might support your analysis in this week’s Assignment. Accessible player --Downloads-- Download Video w/CC Download Audio Download Transcript Optional Resources Skill Builders: Visual Displays for Continuous VariablesVisual Displays for Categorical Variables To access these Skill Builders, navigate back to your Blackboard Course Home page, and locate “Skill Builders” in the left navigation pane. From there, click on the relevant Skill Builder link for this week. You are encouraged to click through these and all Skill Builders to gain additional practice with these concepts. Doing so will bolster your knowledge of the concepts you’re learning this week and throughout the course.
Regression Analysis, assignment help
Do the following problems from chapters 8 and 9 and the regression analysis CH8PROBLEM 18 AND 13CH9PROBLEM 4 AND 20As ...
Regression Analysis, assignment help
Do the following problems from chapters 8 and 9 and the regression analysis CH8PROBLEM 18 AND 13CH9PROBLEM 4 AND 20Assignment - Regression AnalysisComplete the regression assignment on page 272 (PLE case). Do only the part pertaining to employee retention, and also pay attention to the final paragraph. The Employee Retention worksheet is in the Excel file called Performance Lawn Equipment.
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