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Author Question: How are sequential chi-square analyses useful when analyzing big ... (Read 10 times)

krzymel

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on: Jun 28, 2018
How are sequential chi-square analyses useful when analyzing big data?

Question 2

Which of the following is an example of a company using a house of brands approach?
 a. Honda has cars, motorcycles, and lawn mowers.
  b. Procter & Gamble has many brands including Crest and Swiffer.
  c. Canon makes cameras and copiers.
  d. Nike makes shoes, clothes, and gym bags.


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blakcmamba

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Reply #1 on: Jun 28, 2018
Answer to Question 1

Automatic interaction detection refers to an automated procedure by which a routine searches all possible combinations between the dependent variable and different levels of the independent variable. The most basic form of automatic interaction detection is CHAID. CHAID involves taking every possible chi-square, finding the largest, and then splitting up the data based on that result. Then, within each branch, taking every chi-square and splitting the samples again based on the chi-square results. CHAID represents a basic form of big data mining. The results are depicted in a decision-tree that makes prediction of characteristics that are associated with success in some dependent variable easily understood.

Answer to Question 2

b


krzymel

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Reply 2 on: Jun 28, 2018
Great answer, keep it coming :)

bigsis44

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Reply 3 on: Yesterday
Wow, this really help

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