Q2. Use the fact table in Q1 to illustrate what is meant by “the sum() measure is distributive", what is meant by “the avg() measure is not distributive", what is meant by “avg() is algebraic", and what is meant by “the median() measure is not algebraic".

Q: What is the difference between variance and unconditional variance. Can you give an example and if…

A: Lets see the solution.

Q: Query Processing Consider these proposed equivalences: ΠA(R − S) = ΠA(R) − ΠA(S) σB<4(max(B)(R))…

A:

Q: EXAMPLE 2.5 In Section 2.1.1, we noted that there can be many relations on a given set, and we…

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Q: Construct R.G from given FA

A: Given Data:- Construct R.G from given FA

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A: Decision Boundary : Decision boundary is a curve that separates the data points of one class from…

Q: Below is a detailed discussion of the advantages of all-subsets regression versus stepwise…

A: Introduction Here, we emphasized the benefits of all-subsets regression over stepwise regression.

Q: Consider a dataset with 150 samples, labeled using two labels, L1 and L2. Out of 150 samples, 26 are…

A: solution:-

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A: Fuzzy relation:

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A: Dear Student, The answer to your question is given below -

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A: 1) BQP(Bounded Error Quantum Polynomial Time) consists of decision problems that can be solved by a…

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A: It is defined as an algorithm can be analyzed at two different stages, before implementation and…

Q: Below is a detailed discussion of the advantages of all-subsets regression versus stepwise…

A: Subset regression is an exploratory based building regression analysis which is able to compare all…

Q: Does clustering (k-means) with or without normalization have any significance?

A: - The question wants to know whether the k-means clustering algorithm have any significance.

Q: Give a definition of the words functional dependence and determinant using a non-textbook example.

A: Data analysis refers to the process of inspecting, cleaning, transforming, and modeling data to…

Q: nction plotDecisionBoundary (theta, X, y) LOTDECISIONBOUNDARY Plots the data points X and y into a…

A: function plotDecisionBoundary(theta, X, y) % Plots X and y into a new figure with the decision…

Q: Show that the fuzzy rule "If x is A OR y is B then z is C" is equivalent to the union of the two…

A: Let A be x is A, C be Z is C and B be y is B. The statement 'If y is B then z is C' can be written…

Q: What exactly is the connection between BQP and NP?

A: INTRODUCTION: BQP: BQP stands for BOUNDED-ERROR QUANTUM POLYNOMIAL TIME.

Q: Do Comparison between Total specialization rule and partial specialization rule

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Q: Explain what autocorrelation indicates . What are the main problems that autocorrelation creates for…

A: Autocorrelation The degree of correlation between two consecutive time intervals is referred to as…

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A: Advantages of Using a Normalized Histogram One advantage of using a normalised histogram is that it…

Q: To make meaningful comparisons, use a normalized histogram. Surely it's OK to exclude the…

A: Advantages of a Normalized Histogram: This type of histogram displays the probability score of each…

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A: classification accuracy = (correct number of  predictions / total number of  predictions * 100)…

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A: 1)  Law of Implies (PQ) = ¬PVQ  2) Associative law (P Q) R = P (Q R) 3) Associative law (P V Q) V…

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A: To construct frequency distribution tables in R for a qualitative (categorical) variable and a…

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A: Handwritten solution attached

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A: Given: What exactly is the box-cox transformation? When is it preferable to a log10 transformation?…

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Q: 1-Write the matrix in the MatLab.: H=[1:3;4:7] And find the results of the following: a- G=2H?, b-…

A: Please refer below code and output : Language used is Matlab: 1): H=[1 3 ; 4 7]; a=2*H *H;

Q: ot this on matlab using fill

A: Required: Plot this on matlab using fill

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A: Introduction: SQL is a computer domain-specific language developed for managing data in a relational…

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A: Step 1: Step 2: Step 3: Step 4:

Q: You will find a comprehensive analysis of the benefits of using all-subsets regression as opposed to…

A: INTRODUCTION: All-subsets regression outperforms stepwise regression.

Q: What's the relation between BQP and NP?

A: Please find the answer to the above question below:

Q: Use the set notation to describe resolution as a refutation system.

A: please see the next step for solution

Q: 1. Suppose that a set of samples x1, x2, ..., xn, all real numbers, are drawn i.i.d. from the same…

A: Note: Answering the first question as per the guidelines. Input : Set of samples: x1,x2, ...., xn…

Q: (Pvr) =(r^~ s)

A: (p v r) is Valid if p or r or both are True.  Whereas (r ^ ~ s) is a contradiction that is always…

Q: The benefits of all-subsets regression over stepwise regression are discussed in detail below.

A: INTRODUCTION: Here we discussed the benefits of all-subsets regression over stepwise regression.

Q: You will find a comprehensive analysis of the benefits of using all-subsets regression as opposed to…

A: In this article, we went through the advantages of using all-subsets regression rather than stepwise…

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A: Stepwise regression and all-subsets regression are two well-liked techniques for choosing a subset…