Which of the following potential problems need not be considered whe.pdf

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Which of the following potential problems need not be considered when eliminating cases with missing values on one or more variables: a. Many cases may be lost b. The correlation between the predictor and the criterion variables may be inflated. c. The eliminated cases may be systematically different from the retained cases. d. none of the above--all need to be considered. Solution Answer option D Analysis of covariance (ANCOVA) is a general linear model which blends ANOVA and regression. ANCOVA evaluates whether population means of a dependent variable (DV) are equal across levels of a categorical independent variable (IV) often called a treatment, while statistically controlling for the effects of other continuous variables that are not of primary interest, known as covariates (CV) or nuisance variables. Mathematically, ANCOVA decomposes the variance in the DV into variance explained by the CV(s), variance explained by the categorical IV, and residual variance. Intuitively, ANCOVA can be thought of as \'adjusting\' the DV by the group means of the CV(s).

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Write a program that randomly generates a maze in java Solution import java.util.ArrayList; import java.util.Collections; import java.util.Comparator; import java.util.Random; public class MyMaze { private int dimensionX, dimensionY; // dimension of maze private int gridDimensionX, gridDimensionY; // dimension of output grid private char[][] grid; // output grid private Cell[][] cells; // 2d array of Cells private Random random = new Random(); // The random object // initialize with x and y the same public MyMaze(int aDimension) { // Initialize this(aDimension, aDimension); } // constructor public MyMaze(int xDimension, int yDimension) { dimensionX = xDimension; dimensionY = yDimension; gridDimensionX = xDimension * 4 + 1; gridDimensionY = yDimension * 2 + 1; grid = new char[gridDimensionX][gridDimensionY]; init(); generateMaze(); } private void init() { // create cells cells = new Cell[dimensionX][dimensionY]; for (int x = 0; x < dimensionX; x++) { for (int y = 0; y < dimensionY; y++) { cells[x][y] = new Cell(x, y, false); // create cell (see Cell constructor) } } } // inner class to represent a cell private class Cell { int x, y; // coordinates // cells this cell is connected to ArrayList neighbors = new ArrayList<>(); // solver: if already used boolean visited = false; // solver: the Cell before this one in the path Cell parent = null; // solver: if used in last attempt to solve path boolean inPath = false; // solver: distance travelled this far double travelled; // solver: projected distance to end double projectedDist; // impassable cell boolean wall = true; // if true, has yet to be used in generation boolean open = true; // construct Cell at x, y Cell(int x, int y) { this(x, y, true); } // construct Cell at x, y and with whether it isWall Cell(int x, int y, boolean isWall) { this.x = x; this.y = y; this.wall = isWall; } // add a neighbor to this cell, and this cell as a neighbor to the other void addNeighbor(Cell other) { if (!this.neighbors.contains(other)) { // avoid duplicates this.neighbors.add(other); } if (!other.neighbors.contains(this)) { // avoid duplicates other.neighbors.add(this); } } // used in updateGrid() boolean isCellBelowNeighbor() { return this.neighbors.contains(new Cell(this.x, this.y + 1)); } // used in updateGrid() boolean isCellRightNeighbor() { return this.neighbors.contains(new Cell(this.x + 1, this.y)); } // useful Cell representation @Override public String toString() { return String.format(\"Cell(%s, %s)\", x, y); } // useful Cell equivalence @Override public boolean equals(Object other) { if (!(other instanceof Cell)) return false; Cell otherCell = (Cell) other; return (this.x == otherCell.x && this.y == otherCell.y); } // should be overridden with equals @Override public int hashCode() { // random hash code method designed to be usually unique return this.x + this.y * 256; } } // generate from upper left (In computing the y increases down often) private void generateMaze() { generateMaze(0, 0); } // gener.

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Which of the following potential problems need not be considered whe.pdf

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Which of the following potential problems need not be considered whe.pdf