Plotting summarized data will...
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MIS 660 Topic 4 Discussions GCU
MIS 660 Topic 4 DQ 1
What are some of the limitations of using Excel for pivot tables/charts? Why does that make software like Tableau more appealing in the workplace?
MIS 660 Topic 4 DQ 2
Plotting summarized data will almost always help to convey results more easily. However, there are situations where plotting the summarized data instead of creating a simple table makes data interpretation more difficult. Provide two examples of poor charts/graphs and explain why they are difficult to interpret.
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MIS 660 Topic 4 Discussions GCU
MIS 660 Topic 4 DQ 1
What are some of the limitations of using Excel for pivot tables/charts? Why does that make software like Tableau more appealing in the workplace?
MIS 660 Topic 4 DQ 2
Plotting summarized data will almost always help to convey results more easily. However, there are situations where plotting the summarized data instead of creating a simple table makes data interpretation more difficult. Provide two examples of poor charts/graphs and explain why they are difficult to interpret.
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For this assignment, you will use the...
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MIS 660 Topic 5 Benchmark Telling the Analytics Story GCU
The purpose of this assignment is to create a data story and communicate findings to key stakeholders.
Part 1:
For this assignment, you will use the “Arizona Incomes by Zip Code” dataset. You will use Tableau to create a data story that illustrates the median household incomes of Arizona residents. The data provided includes all zip codes in Arizona. Each record is a unique zip code. The data includes the following columns:
1.Zip_Code: An Arizona zip code.
2.Metro_Area: Whether or not the zip code is within the Phoenix-metro area.
3.City: The city name of the zip code.
4.Median_Income: The median household income of each zip code based on 5-year estimates (2010-2014) from the U.S. Census Bureau.
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MIS 660 Topic 5 Benchmark Telling the Analytics Story GCU
The purpose of this assignment is to create a data story and communicate findings to key stakeholders.
Part 1:
For this assignment, you will use the “Arizona Incomes by Zip Code” dataset. You will use Tableau to create a data story that illustrates the median household incomes of Arizona residents. The data provided includes all zip codes in Arizona. Each record is a unique zip code. The data includes the following columns:
1.Zip_Code: An Arizona zip code.
2.Metro_Area: Whether or not the zip code is within the Phoenix-metro area.
3.City: The city name of the zip code.
4.Median_Income: The median household income of each zip code based on 5-year estimates (2010-2014) from the U.S. Census Bureau.
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Data is useless without the skills to...
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MIS 660 Topic 5 Discussions GCU
MIS 660 Topic 5 DQ 1
Data is useless without the skills to manipulate, summarize, and analyze it. In fact, even after data is summarized into a reporting format such as graphs and tables, it still requires someone to add context and describe the results to fully explain the data. This can be difficult, especially if data is being presented to nontechnical individuals. Describe two techniques that can be used to better describe analysis results to nontechnical individuals.
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MIS 660 Topic 5 Discussions GCU
MIS 660 Topic 5 DQ 1
Data is useless without the skills to manipulate, summarize, and analyze it. In fact, even after data is summarized into a reporting format such as graphs and tables, it still requires someone to add context and describe the results to fully explain the data. This can be difficult, especially if data is being presented to nontechnical individuals. Describe two techniques that can be used to better describe analysis results to nontechnical individuals.
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Identify if the following random...
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MIS 660 Topic 6 Data Distributions GCU
The purpose of this assignment is to apply data distributions to discrete and continuous data and justify the selection of the distributions.
For this assignment, you will use the “Random Variables” dataset. You will use SPSS to analyze the dataset and address the questions presented. Findings should be presented in a Word document along with the SPSS outputs.
Part 1:
Identify if the following random variables are discrete or continuous.
1.Number of defected items in a shipment.
2.Height of males (in mm) who attend Grand Canyon University.
3.Yearly income among all people in the United States.
4.Whether or not a high school graduate is accepted into a college.
5.Time that it takes for a person to run a mile.
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MIS 660 Topic 6 Data Distributions GCU
The purpose of this assignment is to apply data distributions to discrete and continuous data and justify the selection of the distributions.
For this assignment, you will use the “Random Variables” dataset. You will use SPSS to analyze the dataset and address the questions presented. Findings should be presented in a Word document along with the SPSS outputs.
Part 1:
Identify if the following random variables are discrete or continuous.
1.Number of defected items in a shipment.
2.Height of males (in mm) who attend Grand Canyon University.
3.Yearly income among all people in the United States.
4.Whether or not a high school graduate is accepted into a college.
5.Time that it takes for a person to run a mile.
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Summarize key data distribution...
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MIS 660 Topic 6 Discussions GCU
MIS 660 Topic 6 DQ 1
Summarize key data distribution concepts including probability mass functions (PMF), probability density functions (PDF), and cumulative distribution functions (CDF). Based on your organization or any organization you are most familiar with, provide an example of a PMF, an example of a PDF, and an example of a CDF, based on the type of data used in the organization. How would you summarize each of these to someone who is not familiar with each of these functions?
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MIS 660 Topic 6 Discussions GCU
MIS 660 Topic 6 DQ 1
Summarize key data distribution concepts including probability mass functions (PMF), probability density functions (PDF), and cumulative distribution functions (CDF). Based on your organization or any organization you are most familiar with, provide an example of a PMF, an example of a PDF, and an example of a CDF, based on the type of data used in the organization. How would you summarize each of these to someone who is not familiar with each of these functions?
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MIS 660 Topic 7 Discussions GCU
MIS 660 Topic 7 DQ 1
Suppose you wanted to understand the relationship between a customer’s yearly income (X) and the number of movies (Y) the customer watched in a year. You then gather data on incomes and the number of movies watched in a year. The range of incomes in your data set is $5K to $150K. After fitting a simple linear model and performing all the appropriate diagnostics, the model showed that, on average, for every $10K in income, the customer watched 1.5 movies in the year. So, for example, if a customer earned 60K in a year, he or she would be expected to watch nine movies during the year. Now you want to apply this model to your very wealthy friend who will earn $1 million in the next year. Is this an appropriate application of your model? Why or why not? Provide specific examples to justify your opinion.
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MIS 660 Topic 7 Discussions GCU
MIS 660 Topic 7 DQ 1
Suppose you wanted to understand the relationship between a customer’s yearly income (X) and the number of movies (Y) the customer watched in a year. You then gather data on incomes and the number of movies watched in a year. The range of incomes in your data set is $5K to $150K. After fitting a simple linear model and performing all the appropriate diagnostics, the model showed that, on average, for every $10K in income, the customer watched 1.5 movies in the year. So, for example, if a customer earned 60K in a year, he or she would be expected to watch nine movies during the year. Now you want to apply this model to your very wealthy friend who will earn $1 million in the next year. Is this an appropriate application of your model? Why or why not? Provide specific examples to justify your opinion.
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MIS 660 Topic 7 Simple Regression Analysis GCU
The purpose of this assignment is to apply simple regression concepts, interpret simple regression analysis models, and justify business predictions based upon the analysis.
For this assignment, you will use the “Trucks” dataset. You will use SPSS to analyze the dataset and address the questions presented. Findings should be presented in a Word document along with the SPSS outputs.
The business characteristics of n = 250 U.S. trucking and delivery companies for calendar year 2011 were recorded. Among the characteristics studied were the number of drivers and the number of trucks (power units) each company employed.
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MIS 660 Topic 7 Simple Regression Analysis GCU
The purpose of this assignment is to apply simple regression concepts, interpret simple regression analysis models, and justify business predictions based upon the analysis.
For this assignment, you will use the “Trucks” dataset. You will use SPSS to analyze the dataset and address the questions presented. Findings should be presented in a Word document along with the SPSS outputs.
The business characteristics of n = 250 U.S. trucking and delivery companies for calendar year 2011 were recorded. Among the characteristics studied were the number of drivers and the number of trucks (power units) each company employed.
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MIS 660 Topic 8 Discussions GCU
MIS 660 Topic 8 DQ 1
Suppose you were asked to investigate which predictors explain the number of minutes that 10- to18-year-old students spend on Twitter. To do so, you build a linear regression model with Twitter usage (Y) measured as the number of minutes per week. The four predictors you include in the model are Height, Weight, Grade Level, and Age of each student. You build four simple linear regression models with Y regressed separately on each predictor, and each predictor is statistically significant. Then you build a multiple linear regression model with Y regressed on all four predictors, but only one predictor, Age, is statistically significant, and the others are not. What is likely going on among the four predictors? If you include more than one of these predictors in the model, what are some problems that can result?
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MIS 660 Topic 8 Discussions GCU
MIS 660 Topic 8 DQ 1
Suppose you were asked to investigate which predictors explain the number of minutes that 10- to18-year-old students spend on Twitter. To do so, you build a linear regression model with Twitter usage (Y) measured as the number of minutes per week. The four predictors you include in the model are Height, Weight, Grade Level, and Age of each student. You build four simple linear regression models with Y regressed separately on each predictor, and each predictor is statistically significant. Then you build a multiple linear regression model with Y regressed on all four predictors, but only one predictor, Age, is statistically significant, and the others are not. What is likely going on among the four predictors? If you include more than one of these predictors in the model, what are some problems that can result?
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MIS 660 Topic 8 Multiple Regression Analysis GCU
The purpose of this assignment is to apply multiple regression concepts, interpret multiple regression analysis models, and justify business predictions based upon the analysis.
For this assignment, you will use the “Strength” dataset. You will use SPSS to analyze the dataset and address the questions presented. Findings should be presented in a Word document along with the SPSS outputs.
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MIS 660 Topic 8 Multiple Regression Analysis GCU
The purpose of this assignment is to apply multiple regression concepts, interpret multiple regression analysis models, and justify business predictions based upon the analysis.
For this assignment, you will use the “Strength” dataset. You will use SPSS to analyze the dataset and address the questions presented. Findings should be presented in a Word document along with the SPSS outputs.
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MIS 660 Topic 3 Visual Representation of Data GCU
The purpose of this assignment is to use pivot tables and pivot charts to aggregate data and to explain the process used for data aggregation.
For this assignment, you will use the “Claims 2” dataset. Use Excel pivot tables and pivot charts for this exercise.
Part 1:
Create a dashboard describing the data by age group (e.g., 21-30 yrs, 31-40 yrs, 41-50 yrs, 51-60 yrs, and 61-70 yrs). The dashboard should include the graphs and charts listed in the locations described. The dashboard should be a separate tab in Excel that only includes the five items below. A sample layout is provided below the dashboard description.
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MIS 660 Topic 3 Visual Representation of Data GCU
The purpose of this assignment is to use pivot tables and pivot charts to aggregate data and to explain the process used for data aggregation.
For this assignment, you will use the “Claims 2” dataset. Use Excel pivot tables and pivot charts for this exercise.
Part 1:
Create a dashboard describing the data by age group (e.g., 21-30 yrs, 31-40 yrs, 41-50 yrs, 51-60 yrs, and 61-70 yrs). The dashboard should include the graphs and charts listed in the locations described. The dashboard should be a separate tab in Excel that only includes the five items below. A sample layout is provided below the dashboard description.
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MIS 660 Topic 4 Data Visualization With Tableau GCU
The purpose of this assignment is to use data visualization tools to aggregate and depict data and to interpret the data visualization results.
For this assignment, you will use the “Claims 2” dataset. You will use Tableau to replicate the dashboard you created in the Topic 3 assignment. In addition, you will compare and contrast the Excel and Tableau software.
Part 1:
Create a dashboard describing the data by age group (e.g., 21-30 yrs, 31-40 yrs, 41-50 yrs, 51-60 yrs, and 61-70 yrs). The dashboard should include the graphs and charts listed in the locations described. The dashboard should be submitted as a Tableau file. A sample layout is provided in the resource, “Data Visualization With Tableau Screenshot: Preview of the Tableau Dashboard.”
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MIS 660 Topic 4 Data Visualization With Tableau GCU
The purpose of this assignment is to use data visualization tools to aggregate and depict data and to interpret the data visualization results.
For this assignment, you will use the “Claims 2” dataset. You will use Tableau to replicate the dashboard you created in the Topic 3 assignment. In addition, you will compare and contrast the Excel and Tableau software.
Part 1:
Create a dashboard describing the data by age group (e.g., 21-30 yrs, 31-40 yrs, 41-50 yrs, 51-60 yrs, and 61-70 yrs). The dashboard should include the graphs and charts listed in the locations described. The dashboard should be submitted as a Tableau file. A sample layout is provided in the resource, “Data Visualization With Tableau Screenshot: Preview of the Tableau Dashboard.”
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MIS 660 Descriptive and Predictive Analytics GCU
MIS 660 Full Course Discussions GCU
MIS 660 Topic 1 DQ 1
Suppose you wanted to estimate the average household income of all Grand Canyon University (GCU) students. To expedite the process, you only gather household income data from all your friends who major in business at GCU. You then calculate the average income among your friends and report that it represents the average income of all GCU students. Is this a good approach? If not, how would you gather data to derive a better estimate? Explain your answer.
MIS 660 Top ic 1 DQ 2
Income data typically have some outliers. For example, Tim Cook, CEO of Apple, Inc., had a salary of about 400 million in 2011. Suppose you had a data set of incomes in 2011 for all GCU faculty and Tim Cook. Which measure of central tendency would you use when reporting on the incomes in your data set if you do not want outliers to have much effect? Explain your answer.
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MIS 660 Descriptive and Predictive Analytics GCU
MIS 660 Full Course Discussions GCU
MIS 660 Topic 1 DQ 1
Suppose you wanted to estimate the average household income of all Grand Canyon University (GCU) students. To expedite the process, you only gather household income data from all your friends who major in business at GCU. You then calculate the average income among your friends and report that it represents the average income of all GCU students. Is this a good approach? If not, how would you gather data to derive a better estimate? Explain your answer.
MIS 660 Top ic 1 DQ 2
Income data typically have some outliers. For example, Tim Cook, CEO of Apple, Inc., had a salary of about 400 million in 2011. Suppose you had a data set of incomes in 2011 for all GCU faculty and Tim Cook. Which measure of central tendency would you use when reporting on the incomes in your data set if you do not want outliers to have much effect? Explain your answer.
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MIS 660 Full Course Assignments GCU
MIS 660 Topic 1 Aggregating Data
The purpose of this assignment is to use a spreadsheet to create a visual representation of a data set.
For this assignment, you will use the “Heights” dataset. In the dataset, the heights (in mm) of n = 199 married couples are recorded. The data comes from a random sample from the much larger population of married couples. Complete each of the steps below to create a visual representation of the dataset.
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MIS 660 Full Course Assignments GCU
MIS 660 Topic 1 Aggregating Data
The purpose of this assignment is to use a spreadsheet to create a visual representation of a data set.
For this assignment, you will use the “Heights” dataset. In the dataset, the heights (in mm) of n = 199 married couples are recorded. The data comes from a random sample from the much larger population of married couples. Complete each of the steps below to create a visual representation of the dataset.
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MIS 660 Full Course Discussions GCU
MIS 660 Topic 1 DQ 1
Suppose you wanted to estimate the average household income of all Grand Canyon University (GCU) students. To expedite the process, you only gather household income data from all your friends who major in business at GCU. You then calculate the average income among your friends and report that it represents the average income of all GCU students. Is this a good approach? If not, how would you gather data to derive a better estimate? Explain your answer.
MIS 660 Top ic 1 DQ 2
Income data typically have some outliers. For example, Tim Cook, CEO of Apple, Inc., had a salary of about 400 million in 2011. Suppose you had a data set of incomes in 2011 for all GCU faculty and Tim Cook. Which measure of central tendency would you use when reporting on the incomes in your data set if you do not want outliers to have much effect? Explain your answer.
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MIS 660 Full Course Discussions GCU
MIS 660 Topic 1 DQ 1
Suppose you wanted to estimate the average household income of all Grand Canyon University (GCU) students. To expedite the process, you only gather household income data from all your friends who major in business at GCU. You then calculate the average income among your friends and report that it represents the average income of all GCU students. Is this a good approach? If not, how would you gather data to derive a better estimate? Explain your answer.
MIS 660 Top ic 1 DQ 2
Income data typically have some outliers. For example, Tim Cook, CEO of Apple, Inc., had a salary of about 400 million in 2011. Suppose you had a data set of incomes in 2011 for all GCU faculty and Tim Cook. Which measure of central tendency would you use when reporting on the incomes in your data set if you do not want outliers to have much effect? Explain your answer.
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The purpose of this assignment is...
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MIS 660 Topic 1 Aggregating Data GCU
The purpose of this assignment is to use a spreadsheet to create a visual representation of a data set.
For this assignment, you will use the “Heights” dataset. In the dataset, the heights (in mm) of n = 199 married couples are recorded. The data comes from a random sample from the much larger population of married couples. Complete each of the steps below to create a visual representation of the dataset.
Part 1:
Using Excel functions, calculate the following summary values for each of the three variables:
1.Minimum
2.First quartile
3.Second quartile (Median)
4.Third quartile
5.Maximum
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MIS 660 Topic 1 Aggregating Data GCU
The purpose of this assignment is to use a spreadsheet to create a visual representation of a data set.
For this assignment, you will use the “Heights” dataset. In the dataset, the heights (in mm) of n = 199 married couples are recorded. The data comes from a random sample from the much larger population of married couples. Complete each of the steps below to create a visual representation of the dataset.
Part 1:
Using Excel functions, calculate the following summary values for each of the three variables:
1.Minimum
2.First quartile
3.Second quartile (Median)
4.Third quartile
5.Maximum
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MIS 660 Topic 1 Discussions GCU
MIS 660 Topic 1 DQ 1
Suppose you wanted to estimate the average household income of all Grand Canyon University (GCU) students. To expedite the process, you only gather household income data from all your friends who major in business at GCU. You then calculate the average income among your friends and report that it represents the average income of all GCU students. Is this a good approach? If not, how would you gather data to derive a better estimate? Explain your answer.
MIS 660 Topic 1 DQ 2
ncome data typically have some outliers. For example, Tim Cook, CEO of Apple, Inc., had a salary of about 400 million in 2011. Suppose you had a data set of incomes in 2011 for all GCU faculty and Tim Cook. Which measure of central tendency would you use when reporting on the incomes in your data set if you do not want outliers to have much effect? Explain your answer.
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MIS 660 Topic 1 Discussions GCU
MIS 660 Topic 1 DQ 1
Suppose you wanted to estimate the average household income of all Grand Canyon University (GCU) students. To expedite the process, you only gather household income data from all your friends who major in business at GCU. You then calculate the average income among your friends and report that it represents the average income of all GCU students. Is this a good approach? If not, how would you gather data to derive a better estimate? Explain your answer.
MIS 660 Topic 1 DQ 2
ncome data typically have some outliers. For example, Tim Cook, CEO of Apple, Inc., had a salary of about 400 million in 2011. Suppose you had a data set of incomes in 2011 for all GCU faculty and Tim Cook. Which measure of central tendency would you use when reporting on the incomes in your data set if you do not want outliers to have much effect? Explain your answer.
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MIS 660 Topic 2 Data Manipulation GCU
The purpose of this assignment is to use spreadsheet capabilities to perform data manipulation and to explain the process used in the handling of the data.
For this assignment, you will use the “Claims” dataset. In the dataset, the claims data for n = 608 people are recorded. The data derive from a random sample of females diagnosed with ischemic heart disease over 24 months (see Exercise 7.27 in the textbook).
Instead of using urgent care centers, some people rely on the Emergency Room (ER) to address most, if not all, of their medical needs. In fact, someone who has three or more ER visits within 24 months is considered a high ER user. Complete the steps below to execute this assignment.
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MIS 660 Topic 2 Data Manipulation GCU
The purpose of this assignment is to use spreadsheet capabilities to perform data manipulation and to explain the process used in the handling of the data.
For this assignment, you will use the “Claims” dataset. In the dataset, the claims data for n = 608 people are recorded. The data derive from a random sample of females diagnosed with ischemic heart disease over 24 months (see Exercise 7.27 in the textbook).
Instead of using urgent care centers, some people rely on the Emergency Room (ER) to address most, if not all, of their medical needs. In fact, someone who has three or more ER visits within 24 months is considered a high ER user. Complete the steps below to execute this assignment.
Tags: MIS 660, MIS 660 Topic 2, MIS 660 Topic 2 Data Manipulation GCU
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Suppose you had daily temperature...
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MIS 660 Topic 2 Discussions GCU
MIS 660 Topic 2 DQ 1
Suppose you had daily temperature data indicating the “high” point of each day for 2015. If you want to show how the high differs over time, what are some of the plot types that will allow you do this? What are some benefits to binning the data into one of 52 weeks and plotting the average high for each week? Would it make sense to do something similar for the four quarters in the year? Why or why not?
MIS 660 Topic 2 DQ 2
Many times, data are missing because of various reasons. This poses some challenges when doing data analysis. For example, suppose you wanted to do some analysis of the yearly incomes of the faculty at GCU. When asked for their incomes, 25% of the faculty did not participate in the survey; therefore, their incomes are missing from the dataset. How would you summarize the income data in this case? Is it appropriate to ignore the missing incomes and summarize the data without them? Should you estimate the missing incomes, perhaps with the overall average, to complete the data set?
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MIS 660 Topic 2 Discussions GCU
MIS 660 Topic 2 DQ 1
Suppose you had daily temperature data indicating the “high” point of each day for 2015. If you want to show how the high differs over time, what are some of the plot types that will allow you do this? What are some benefits to binning the data into one of 52 weeks and plotting the average high for each week? Would it make sense to do something similar for the four quarters in the year? Why or why not?
MIS 660 Topic 2 DQ 2
Many times, data are missing because of various reasons. This poses some challenges when doing data analysis. For example, suppose you wanted to do some analysis of the yearly incomes of the faculty at GCU. When asked for their incomes, 25% of the faculty did not participate in the survey; therefore, their incomes are missing from the dataset. How would you summarize the income data in this case? Is it appropriate to ignore the missing incomes and summarize the data without them? Should you estimate the missing incomes, perhaps with the overall average, to complete the data set?
Tags: MIS 660, MIS 660 Topic 2, MIS 660 Topic 2 Discussions GCU
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Data summarization is usually not...
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MIS 660 Topic 3 Discussions GCU
MIS 660 Topic 3 DQ 1
Data summarization is usually not enough when performing analysis. Most of the time, adding context by telling a story about the data is necessary to describe the analysis to others, especially those who are not data-savvy. What are some general guidelines to follow to tell a good data story? What story elements or structure should be used to organize the presentation?
MIS 660 Topic 3 DQ 2
Consider your organization, or an organization you are most familiar with. Explain the general process of data aggregation for a typical metric (e.g., sales revenue, cost per unit, etc.) used in the organization. What specific charts are commonly used to visually depict the data? What might be some areas for improvement regarding how the data is visually presented?
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MIS 660 Topic 3 Discussions GCU
MIS 660 Topic 3 DQ 1
Data summarization is usually not enough when performing analysis. Most of the time, adding context by telling a story about the data is necessary to describe the analysis to others, especially those who are not data-savvy. What are some general guidelines to follow to tell a good data story? What story elements or structure should be used to organize the presentation?
MIS 660 Topic 3 DQ 2
Consider your organization, or an organization you are most familiar with. Explain the general process of data aggregation for a typical metric (e.g., sales revenue, cost per unit, etc.) used in the organization. What specific charts are commonly used to visually depict the data? What might be some areas for improvement regarding how the data is visually presented?
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Kartensatzinfo:
Autor: CoboCards-User
Oberthema: Education
Thema: Education
Schule / Uni: devry university
Ort: UK
Veröffentlicht: 12.02.2020
Tags: INTERNATIONAL STUDY, COMPUTER SCiENCE, ENGINEERING & TECHNOLOGY, Accounting, Business, PSCYCHOLOGY, SOCIAL SCIENCE, POLITICAL Science, Social Science, Project Risk Management, ARTS & HUMANITIES, RELIGIOUS STUDIES SOCIOLOGY
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