I met with Talon Peterson and administered 2 different reading test/tasks. First he completed a post test of the Renaissance Star test. This test is vocabulary and comprehension so the results are a fairly good indicator of overall reading ability. What Star won’t measure is fluency which is a major factor in determining a student’s ability to keep pace with their peers on reading and writing tasks. Results are reported in grade year and month. His scores were as follows: Baseline Testing:
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1 ) The sum of the digits of a two-digit number is 7. When the digits are reversed‚ the number is increased by 27. Find the number. 2 ) A passenger jet took three hours to fly 1800 miles in the direction of the jetstream. The return trip against the jetstream took four hours. What was the jet’s speed in still air and the jetstream’s speed? 3 ) These circles are identical. What is the value of x ? 4 ) Solve for x using these two equations: 2x + 6 = y; y - x = 2 5 ) The perimeter and the
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EE2 Signals and Linear Systems Pier Luigi Dragotti Electrical & Electronic Engineering Department Imperial College London URL: http://www.commsp.ee.ic.ac.uk/~pld/Teaching/ E-mail: p.dragotti@imperial.ac.uk PLD Autumn 2012 Thursday‚ 27 September 12 Signals and Linear Systems Lecture 1 Aims and Objectives “The concepts of signals and systems arise in a variety of fields and the techniques associated with these notions play a central role in many areas of science and technology
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Linear Modeling Project The purpose of this experiment is to determine whether a player’s statistics in baseball are related to the player’s salary. The sample set was taken out of 30 players who were randomly selected from the top 100 fantasy baseball players in 2007. We displayed the information with a scatter plot‚ and then determined with a linear equation the line of best fit. Along with the line of best fit we are going to analyze the Pearson Correlation Coefficient. This value is represented
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Multiple Regression Analysis For hypotheses testing of this study‚ multiple regression analysis was conducted. Some assumptions of the relationship between dependent and independent variables need to be met for performing multiple regression analysis like‚ normality‚ linearity‚ homoscedasticity and multicollinearity (Hair et al.‚ 1998). As mentioned earlier‚ the required assumptions have already been met and multiple regression analysis was appropriate. Usually‚ multiple regression analyses
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MgtOp 340 Homework Assignment 2 Problem 6.1 Continental Airlines (CA) is reluctant to begin service at the new Delayed Indefinitely Airport (DIA) until the automated baggage-handling system can transport luggage to the correct location with at least 99% reliability for any given flight. Lower reliability will result in damage to CA’s reputation for quality service. The baggage system will not deliver to the right location if any of its subsystems fail. The subsystems and their reliability
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REPRESENTATIVE | NUMBER OF UNITS SOLD | NUMBER OF SALES CALLS | A | 28 | 14 | B | 66 | 35 | C | 38 | 22 | D | 70 | 29 | E | 22 | 6 | F | 27 | 15 | G | 28 | 17 | H | 47 | 20 | I | 14 | 12 | J | 68 | 29 | | | | | | | a) draw a scatter diagram of number of sales calls and number of units sold b) Estimate a simple linear regression model to explain the relationship between number of sales calls and number of units sold y=2.139x-1.760 Number of units sold=2.139Number
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Unit 27 Outcome 1 1. Describe the factors to take into account when planning healthy and safe indoor and outdoor environments and services In my setting these are the factors to take into account when planning healthy and safe indoor and outdoor environments and services: • The individual’s needs‚ age and abilities of the children and young people • Specific risks to individuals such as Autism‚ staff-pregnancy‚ sensory impairments • The function and purpose of environments and services
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CWRU Regression Project Report OPRE 433 Tianao Zhang 12/5/2011 Introduction According to the data I’ve received‚ there are 6578 observations. The data base is composed by 13 columns and 506 rows. All the explanatory variables are continuous as well as the dependent variable and there are no categorical variables. My goal is to build a regression model to predict the average of Y or particular Y by a given X. 1. Do the regression assumptions such as Constant Variance‚ Normality and Independence
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2. LINEAR MOTION In this experiment you will study the motion of an object in one dimension from a number of points of view. You will demonstrate how the variables of motion are related by differentiation and integration and investigate the relationship between potential and kinetic energy. Theory Why Study Motion? Motion is everywhere in the universe. Only at a temperature of absolute zero is the motion in any body truly absent. If motion exists then so also does energy. To the delight of
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