Answer:
C , I , G , NX
Explanation:
The components of nation's demand for goods & services is reflected in Aggregate Demand . AD is the total value of goods & services all the consumers are planning to buy during a period.
AD denotes consumption components by 4 sectors of an Economy : Households, Firms, Government , Rest of World .
All 4 sectors form components of AD = Consumption Expenditure, Investment, Government Expenditure, Net Exports (Exports - Imports) by the 4 above sectors respectively.
You run out and call 911 or whatever the number is for you and if you’re on fire stop drop and roll because if you run you’re only giving the fire more oxygen
Answer:
Total cost= $40.3
Explanation:
Giving the following information:
The activity rates associated with each activity pool are:
$8.30 per guest check-in
$20.00 per room cleaning
$4.00 per served meal (not including food).
Tara Washington visited the hotel for a 3-night stay. Washington had 6 meals in the hotel during her visit.
Total cost= 8.30*1 + 20*1 + 4*3= $40.3
Answer:
The following are the solution to the given question:
Explanation:
In option a:
The Mandovi's absolute benefit in this issue is that so many ratios are produced and transform because less power is spent than Ducennia (50 -100 compounds to 150 -200).
In option b:
In option c:
There are a total of 1 billion labours are available for the equally divided for 0.5 billion and 0.5 billion for both and the Rotiods is
and for taurous = 
.
Answer:
The options for this question are the following:
a. 1
b. 2
c. 0.5
d. 1.5
The correct answer is a. 1
.
Explanation:
Group analysis or grouping is the task of grouping a set of objects in such a way that the members of the same group (called a cluster) are more similar, in some sense or another. It is the main task of exploratory data mining and is a common technique in the analysis of statistical data. It is also used in multiple fields such as machine learning, pattern recognition, image analysis, information search and retrieval, bioinformatics, data compression and graphic computing.
Group analysis is not in itself a specific algorithm, but the task pending solution. Clustering can be done using several algorithms that differ significantly in your idea of what constitutes a group and how to find them efficiently. Classical group ideas include small distances between members of the group, dense areas of the data space, intervals or particular statistical distributions. Clustering, therefore, can be formulated as a multi-objective optimization problem. The appropriate algorithm and the values of the parameters (including values such as the distance function to use, a density threshold or the number of expected groups) depend on the set of data analyzed and the use that will be given to the results. Grouping as such is not an automatic task, but an iterative process of data mining or interactive multi-objective optimization that involves trial and failure. It will often be necessary to pre-process the data and adjust the model parameters until the result has the desired properties.
