DAT 565 All Discussions
DAT 565 All Discussions
PLDZ-13304
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DAT 565 All Discussions
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DAT 565 All Discussions Link
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DAT 565 Wk 1 Discussion – Data Analytics and Statistics
Post a total of 3 substantive responses over 2 separate days for full participation. This includes your initial post and 2 replies to other students or your faculty member.
Due Thursday
This week’s required readings explain the role that analytics plays in the modern business environment. Consider the following questions and respond in a minimum of 175 words:
DAT 565 Wk 2 Discussion – Metrics and Information Visualization
Post a total of 3 substantive responses over 2 separate days for full participation. This includes your initial post and 2 replies to other students or your faculty member.
Due Thursday
Respond to the following in a minimum of 175 words:
DAT 565 Wk 3 Discussion – Characterizing Uncertainty
Post a total of 3 substantive responses over 2 separate days for full participation. This includes your initial post and 2 replies to other students or your faculty member.
DAT 565 Wk 4 Discussion – Testing Hypotheses
Post a total of 3 substantive responses over 2 separate days for full participation. This includes your initial post and 2 replies to other students or your faculty member.
Due Thursday
Hypothesis testing is used in business to test assumptions and theories. These assumptions are tested against evidence provided by actual, observed data. A statistical hypothesis is a statement about the value of a population parameter that we are interested in. Hypothesis testing is a process followed to arrive at a decision between 2 competing, mutually exclusive, collective exhaustive statements about the parameter’s value.
DAT 565 Wk 5 Discussion – Patterns and Modeling
Post a total of 3 substantive responses over 2 separate days for full participation. This includes your initial post and 2 replies to other students or your faculty member.
Due Thursday
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)
DAT 565 Wk 6 Discussion – Time Series Modeling
Post a total of 3 substantive responses over 2 separate days for full participation. This includes your initial post and 2 replies to other students or your faculty member.
Due Thursday
Time series are particularly useful to track variables such as revenues, costs, and profits over time. Time series models help evaluate performance and make predictions. Consider the following and respond in a minimum of 175 words:
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