The purpose of this assignment is...
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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
Quelle: https://mindsblow.com/product/mis-660-topic-2-discussions-gcu/
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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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