____ is the temporary support that parents or teachers give a child to do a task according to Vygotsky.

Which identity status, common among young adolescents, is determined by adults rather than by personal exploration? For example, a high school graduate’s parents decide she is going to become a doctor and she attends medical school despite not wanting to become a doctor.

The following causal filter is excited by white noise x(n) of zero mean and unit variance

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)

A company is interested in understanding the factors that drive purchase on their website.  They ran a test where they collected data from 2500 visitors to their website and observed if a purchase was made or not.  This analysis includes the following variables:  Customer ID: Unique identifier for each customer Purchase: 1 = purchased; 0 = did not purchase Female: 1 = Female; 0 = Male Paid Ad: 1 = Arrived on webpage via a paid advertisement; 0 = came from somewhere else Urban: 1 = livesin an urban location; 0 = does not To understand the relationship between these variables and purchase they ran a regression where “Purchase” was the dependent variable.  Results appear in the table below.  Use these results to answer the following questions: By how much does the probability of purchase change if the individual is female? 

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:

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 following table presents the results of this test: At an alpha level of 0.05, what do you conclude from this test? 

To test this hypothesis, the company ran an experiment where they filtered 3000 individuals to the new landing page and recorded how many made a purchase.  The also recorded the average $ spend for each transaction and the corresponding standard deviation.  The results of this experiment appear in the table below:    # Visitors # Purchased % Purchased Avg. $ Spend Standard Deviation $ Spend 3000 105 3.5% $121.34 $21.30   What is the mathematical difference between the observed and hypothesized conversion rates?

The following are the average amount spent on products from each of the landing pages: Landing Page A:  $100 Landing Page B:  $120 Landing Page C:  $60 What is the expected monetary value for a customer that comes to the website (independent of the specific landing page)?