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Alja [10]
3 years ago
12

Sally walked 3/4 of a mile before lunch and 1/2 of a mile after lunch. How far did she walk in all?

Mathematics
1 answer:
Wittaler [7]3 years ago
5 0

Answer:

1 1/4

Step-by-step explanation:

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inessss [21]
1. Introduction. This paper discusses a special form of positive dependence. Positive dependence may refer to two random variables that have a positive covariance, but other definitions of positive dependence have been proposed as well; see [24] for an overview. Random variables X = (X1, . . . , Xd) are said to be associated if cov{f(X), g(X)} ≥ 0 for any two non-decreasing functions f and g for which E|f(X)|, E|g(X)|, and E|f(X)g(X)| all exist [13]. This notion has important applications in probability theory and statistical physics; see, for example, [28, 29]. However, association may be difficult to verify in a specific context. The celebrated FKG theorem, formulated by Fortuin, Kasteleyn, and Ginibre in [14], introduces an alternative notion and establishes that X are associated if ∗ SF was supported in part by an NSERC Discovery Research Grant, KS by grant #FA9550-12-1-0392 from the U.S. Air Force Office of Scientific Research (AFOSR) and the Defense Advanced Research Projects Agency (DARPA), CU by the Austrian Science Fund (FWF) Y 903-N35, and PZ by the European Union Seventh Framework Programme PIOF-GA-2011-300975. MSC 2010 subject classifications: Primary 60E15, 62H99; secondary 15B48 Keywords and phrases: Association, concentration graph, conditional Gaussian distribution, faithfulness, graphical models, log-linear interactions, Markov property, positive
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3 years ago
5c + 3 -2c + 5 simplify the expression
snow_lady [41]
5c + 3 - 2c + 5

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3 years ago
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Last year the profit for a company was $327,000. This year's profit decreased by 3.7%. Find this year's profit.
lesantik [10]

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