providing valuable information about a person’s strengths and weaknesses. The WAIS IV examines functioning on a range of subtest‚ which makes up four index scores: verbal comprehension‚ perceptual reasoning‚ working memory and processing speed. The test comprises of five composite scores: verbal comprehension‚ perceptual reasoning‚ working memory‚ processing speed and Full Scale IQ. The Full Scale IQ (FSIQ) gives the person’s overall ability in comparison to others of the same age range. A person’s
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Macroeconomics assignment Danish Behal Right now we are witnessing a struggle between two camps that can be named the “stimulators” and the “austereians.” Both warn that a worldwide depression will occur if governments now make the wrong choices: the stimulators say the danger lies in spending too little and the austereians oppose on spending too much. Each side also has their own economic aspect austerity refers to reduced spending and increased saving in the financial sector by governments
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9.2) A company is using a carrier to deliver goods to a major customer. The annual demand is $2‚500‚000‚ and the average transit time is 10 days. Another carrier promises to deliver in 7 days. What is the reduction in transit inventory? I = tA=(10 – 7 ) 2‚500‚000=$7‚500‚000=$20‚547.90 365365 365 9.4) A florist carries an average inventory of $12‚000 in cut flowers. The flowers require special storage and are highly perishable. The florist’s estimates capital costs at 10%‚ storage
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OPIM Assignment 4 1. Cu = 24-11 = $13 Co = 11-7 = $4 Critical ratio = 13/(13+4) = 0.7647 μ = 30‚000 σ = 10‚000 Using normal distribution function (=norminv(0.7647‚30000‚10000))‚ the optimum order quantity is 37‚216 jerseys to maximize profit. 2. Quantity = 32‚000 First‚ we normalize the order quantity to find the z-statistic z=Q-μσ=32‚000-25‚00010‚000=0.7 We then look up the standard normal loss function. The expected lost sale is given by. Lz=0.1429 Therefore‚ the expected lost
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transitive 7.1.6) Which relations in Exercise 5 are partial orders? Which are equivalence relations? The relation in part “a” is a partial order. The relations in “c” and “f” are equivalence relations. 7.2.2) If R is a reflexive relation on a set A‚ prove that R² is also reflexive on A. Let x € A. R reflexive ===> (x‚ x) € R. (x‚ x) € R‚ (x‚ x) € R ===> (x‚ x) € R o R = R² 7.3.1) Draw the Hasse diagram for the poset (P(U)‚ ⊆)‚ where U = {1‚ 2‚ 3‚ 4} Please see attached. 7.3.6a) For A
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numbers We know that‚ the relation in sets defined by A~ B is an equivalence relation. Hence by fundamental theorem on equivalence relation‚ all sets are partitioned into disjoint classes of equivalent sets. Thus for any set A‚ equivalence class of A‚ [A] = { B | B ~ A } Result: - (1) [A] = [B] or [A] ∩ [B] = ∅ ‚ that is for any two sets‚ either they have same equivalence classes or totally disjoint equivalence classes. (2) = universal set. (3) If A ∈ [B] then A ~ B
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magic castle‚ a spaceship‚ a medieval marketplace‚ or just a dirty old city street. All of this is the work of a set designer. The work of a set designer adds to the story it is working with and makes the story believable. The job of set designers‚ if not stated clearly enough already‚ is to design and then create sets used in movies‚ plays and other performing arts. Designing these sets can be a easy as just picking out a couple pieces of furniture and putting up a backdrop for a play to creating
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¥ÀjÃPÉë (PÉ-¸Émï)-2013 KARNATAKA STATE ELIGIBILITY TEST (K-SET) FOR LECTUERSHIP - 2013 (Accredited by UGC‚ New Delhi) Conducted by University of Mysore (as the SET agency) Syllabus‚ Question Paper Pattern and Sample Questions Subject code: 07 Subject: SOCIOLOGY University of Mysore‚ Mysore -570005 ------------------------------------------------------------------------------------------------------------------University K-SET Center‚ Pareeksha Bhavan‚ University of Mysore‚ Mysore 1
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OPERATIONSAs we have introduced meaning of the terms set‚ subset‚ null set and universal set‚ we can learn how to build new sets using the sets we already know. The way we do it is called set operations.The set operations are: union‚ intersection‚ difference and complement. They are called Boolean operations.Let A and B be subsets of the universal set U. Then we can look at the set C U that contains all elements of set A and all elements of set B and nothing else. In other words‚ x C implies two statements:
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This task involves trying to give an educated guess on a linear regression model for pricing real estate using a real facts date set using numbers and facts. Normally two approaches are used for valuing a real estate property: income and sales comparison. The sales assessment approach values a real estate property based on sale prices of similar properties. In this case the properties with familiar individuality are basically on the same price level‚ it would be typical to use a linear regression
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