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Assuming that graphs are represented by adjacency lists (with n the number of nodes and a the number of edges), the running times of Dijkstra’s algorithms will be:

A regression was run using a dataset called “Sales Data” that contains data from a consumer packaged goods manufacturer.  This includes the following variables: Unit Sales:  number of units sold Own Price:  the price of the manufacturer’s product Promotion:  a binary variable where 1 indicates that the product was being promoted; 0 indicates that it was not Competitive Price:  the price of a similar product offered by a competitor  The regression table appears below.  Please use it to answer the following questions: What is the R^ 2 value for this regression?  

Assume that during execution of Dijkstra’s algorithm, the set S contains A (the source), B, and C. Assume that d(B) = 5 and d(E) = 8What is then the most precise we can say about the length of

Consider the reduction from 3SAT to Clique.The proposition with clauses    1 : p  v  q  v  ~r    2:  ~p  v  r v  ~swill be mapped to a graph where from (1: p), that is the occurrence of p in the 1st clause, there is an edge to (check all that applies)

Use the following crosstab to answer this question: What % of male respondents have experienced smartphone water damage.     

What value would I predict for Unit Sales if I observe the following values of the other variables: Own Price = $5 Promotion = 1 Competitive Price = $4.50

The only way to establish a causal relationship between and action A and and an outcome B is to use an experiment.

A company is testing the effectiveness of three different landing pages (A, B, and C) for their website. To determine which page performs best, they ran an experiment where website visitors were randomly assigned to one of the three pages for one day. Afterward, they recorded whether each visitor purchased a product. The results are summarized in the following probability tree: Use this tree to answer the following questions. What is the probability of purchase for landing page B?  Input your response as a numeric value.  Do not use special characters (e.g., %, $, etc.)

Imagine that you are working at company that is trying to assess the quality of its new landing page for its website. The company is currently trying to determine if more than 3% of people who arrive at the website through this new landing page will buy one of their products.  What is the null (HO) hypothesis for this scenario?

In our corrupt restaurant , Patrick and Steve are not treated as part of the organizational insiders with their own value, but Sheldon, Leonard and Raj are insiders and treated uniquely. What would this be considered under the combination of belonginess and uniqueness?