Principles of Information Systems
13th Edition
ISBN: 9781337660556
Author: Ralph Stair; George Reynolds
Publisher: Cengage Learning US
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Expert Solution & Answer
Chapter 9, Problem 9DQ
Explanation of Solution
Explanation to be a trained statistician to draw valid conclusions:
“Yes”, being a trained statistician can certainly help in improving the conclusions. Data scientist is person who is employed to analyze and interpret the digital data which are complex. The person should be capable to handle and work with the BI (Business Intelligence)tools.
Reason:
- The complex tasks include the statistics of a website which are meant to assist a business in decision making...
Expert Solution & Answer
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For these reasons, analysts may favour EDA over hypothesis testing when mining data.
To quantify something, jot down whatever statistic you can think of.
This article explains why analysts may prefer using EDA over hypothesis testing when mining data.
Chapter 9 Solutions
Principles of Information Systems
Ch. 9.1 - Prob. 1RQCh. 9.1 - Prob. 2RQCh. 9.1 - Prob. 1CTQCh. 9.1 - Prob. 2CTQCh. 9.2 - Prob. 1RQCh. 9.2 - Prob. 2RQCh. 9 - Prob. 1SATCh. 9 - Prob. 2SATCh. 9 - Prob. 3SATCh. 9 - Prob. 4SAT
Ch. 9 - Prob. 5SATCh. 9 - A(n) _______________________ is a measure that...Ch. 9 - Prob. 7SATCh. 9 - Prob. 8SATCh. 9 - Prob. 9SATCh. 9 - Prob. 1RQCh. 9 - Prob. 2RQCh. 9 - Prob. 3RQCh. 9 - Prob. 4RQCh. 9 - Prob. 5RQCh. 9 - Prob. 6RQCh. 9 - Prob. 7RQCh. 9 - Prob. 8RQCh. 9 - Prob. 9RQCh. 9 - Prob. 10RQCh. 9 - Prob. 11RQCh. 9 - Prob. 12RQCh. 9 - Prob. 1DQCh. 9 - Prob. 2DQCh. 9 - Prob. 3DQCh. 9 - Prob. 4DQCh. 9 - Prob. 5DQCh. 9 - Prob. 7DQCh. 9 - Prob. 8DQCh. 9 - Prob. 9DQCh. 9 - Prob. 1PSECh. 9 - Prob. 3PSECh. 9 - Prob. 1TACh. 9 - Prob. 2TACh. 9 - Prob. 3WECh. 9 - Prob. 1CECh. 9 - Prob. 2CECh. 9 - Prob. 3CECh. 9 - Prob. 1CTQ1Ch. 9 - Prob. 2CTQ1Ch. 9 - Prob. 3CTQ1Ch. 9 - Prob. 1CTQ2Ch. 9 - Prob. 2CTQ2Ch. 9 - Prob. 3CTQ2
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- If you have trained five different models on the exact same training data, and they all achieve 95% precision, is there any chance that you can combine these models to get better results? If so, how? If not, why?arrow_forwardTo investigate reasons why people do not work, the Census Bureau interviewed a group ofrandomly selected individuals, from April-July 1996, in four separate rotation groups,respondents were asked to select 1 of 11 categories consisting of economic and noneconomicreasons for not working, in response to the question, “What is the main reason you did not workat a job or business [in the last four months]?”a. Identify the type of the study described here.b. Identify the population of interest.arrow_forwardUse proportional, binomial, and poisson regression models when and why? How do these models employ flexibility?arrow_forward
- Why do data miners choose empirical data analysis (EDA) over hypothesis testing?arrow_forwardWhen and why are proportional, binomial, and Poisson regression models used?arrow_forwardWhen and why should you use a proportional, binomial, or poisson regression model? How do the models make use of adaptability?arrow_forward
- When mining data, analysts may choose to employ EDA rather than hypothesis testing for the reasons that are stated below.arrow_forwardExplain the process of hypothesis testing and its significance in statistical analysis.arrow_forwardHow do you define a Statistical Analysis Assumption?]arrow_forward
- When are the proportional, binomial, and poisson regression models used, and why are they utilized?How and why are these degrees of freedom included into every model?arrow_forwardWhen are the proportional, binomial, and poisson regression models used, and why are they utilized? How and why are these degrees of freedom included into every model?arrow_forwardWhat is the difference between a casual analysis, a statistical analysis, and a Pareto analysis, and how can you tell the difference? Which of the following categories does the ODC approach fall under?arrow_forward
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