Poisson approximation - Study guides, Study notes & Summaries
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MBA 624 Chapter 6 Quiz Questions and Answers 100% Correct/ (MBA 624 Chpt6HW)
- Exam (elaborations) • 11 pages • 2024
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- R250,69
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MBA 624 Chapter 6 Quiz Questions and Answers 100% Correct/ (MBA 624 Chpt6HW) 
 
Question 1 
 
A discrete random variable that follows the Poisson distribution with a mean equal to λ has a counterpart continuous random variable that follows the 	distribution with a mean equal to μ = 1/λ. 
 	uniform 	discrete 
 	exponential 	normal 
Question 2 
 
A smaller standard deviation for the normal probability distribution results in 
 	a skinnier curve that is more spread out around the mean and not ...
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Test Bank for The Analysis of Biological Data, 3rd Edition by Michael C. Whitlock
- Exam (elaborations) • 361 pages • 2022
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- R743,16
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Test Bank for The Analysis of Biological Data 3e 3rd Edition by Michael C. Whitlock, Dolph Schluter 
 
ISBN-13: 4433 
 
PART 1 INTRODUCTION TO STATISTICS 
1.0 Statistics and samples 
1.1 What is statistics? 
1.2 Sampling populations 
1.3 Types of data and variables 
1.4 Frequency distributions and probability distributions 
1.5 Types of studies 
1.6 Summary 
Interleaf 1 Correlation does not require causation 
 
2.0 Displaying data 
2.1 Guidelines for effective graphs 
2.2 Showing data for one va...
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ISYE 6414 – Final Exam with Correct Answers 2023
- Exam (elaborations) • 22 pages • 2023
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- R204,23
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Logistic Regression - Commonly used for modeling binary response data. The response variable is a binary variable, and thus, not normally distributed. 
 
In logistic regression, we model the probability of a success, not the response variable. In this model, we do not have an error term 
 
g-function - We link the probability of success to the predicting variables using the g link function. The g function is the s-shape function that models the probability of success with respect to the predict...
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ST107 Quantitative Methods (CORRECTLY SOLVED!)
- Exam (elaborations) • 5 pages • 2023
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- R194,94
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Mean & Variance of transformed distributions correct answers Mean: Affected by all operations (additions/subtraction/multiplication/division) 
 
Variance: Only affected by changes in scale (multiplication/division), must square scale changes ---> i.e. if original variance is 6 and all values divided by 2, new variance = 6/2^2 
 
Axioms of Probability correct answers 1)For any event A, 0 ≤ P(A) ≤ 1 2)For sample space S, P(S) = 1 3)If {Ai}, i = 1,..., n are mutually exclusive events then t...
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ISYE 6414 – Final Exam Questions and answers, 100% Accurate. Rated A+
- Exam (elaborations) • 31 pages • 2023
- Available in package deal
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- R194,94
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ISYE 6414 – Final Exam Questions and answers, 100% Accurate. Rated A+ 
 
 
Logistic Regression - -Commonly used for modeling binary response data. The response variable is a binary variable, and thus, not normally distributed. 
 
In logistic regression, we model the probability of a success, not the response variable. In this model, we do not have an error term 
 
g-function - -We link the probability of success to the predicting variables using the g link function. The g function is the s-sh...
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Test Bank for Introduction to Probability and Statistics, 15th Edition by William Mendenhall
- Exam (elaborations) • 953 pages • 2023
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- R464,41
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Test Bank for Introduction to Probability and Statistics 15e 15th Edition by William Mendenhall, Robert J. Beaver/Barbara M. Beaver. Full Chapters test bank included 
 
Chapter 1: Describing Data with Graphs 
1.1 Variables and Data 
Types of Variables 
Exercises 
1.2 Graphs for Categorical Data 
Exercises 
1.3 Graphs for Quantitative Data 
Pie Charts and Bar Charts 
Line Charts 
Dotplots 
Stem and Leaf Plots 
Interpreting Graphs with a Critical Eye 
Exercises 
1.4 Relative Frequency Histograms 
...
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ISYE 6414 Final Exam Review With Complete Solutions Already Graded A+
- Exam (elaborations) • 8 pages • 2022
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- R222,82
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Least Square Elimination (LSE) cannot be applied to GLM models. 
False - it is applicable but does not use data distribution information fully. 
 
 
 
In multiple linear regression with idd and equal variance, the least squares estimation of regression coefficients are always unbiased. 
True - the least squares estimates are BLUE (Best Linear Unbiased Estimates) in multiple linear regression. 
 
 
 
Maximum Likelihood Estimation is not applicable for simple linear regression and multiple linear ...
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ISYE 6414 - Unit 4 Exam Questions and Answers
- Exam (elaborations) • 11 pages • 2023
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- R193,08
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In logistic regression, we model the__________________, not the response variable, given the predicting variables. - ANSWER-probability of a success 
 
g link function - ANSWER-link the probability of success to the predicting variables 
 
3 assumptions of the logistic regression model - ANSWER-Linearity, Independence, Logit link function 
 
Linearity assumption for a Logistic Model - ANSWER-Similar to the regression model we have learned in the previous lectures, the relationship we assume now,...
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An Exact Maternal-Fetal Genotype Incompatibility (MFG) Test
- Exam (elaborations) • 13 pages • 2024
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- R206,09
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An Exact Maternal-Fetal Genotype Incompatibility (MFG) Test 
 Sonia L. Minassian,1 Christina G.S. Palmer,2 and Janet S. Sinsheimer1,3,4n 
 1Department of Biostatistics, University of California, Los Angeles, California 
 2Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, California 
 3Department of Human Genetics, University of California, Los Angeles, California 
 4Department of Biomathematics, University of California, Los Angeles, California 
 The mat...
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Lecture Notes in Economics and Mathematical Systems
- Summary • 126 pages • 2023
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- R287,86
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their practical application or results in inaccurate inventory control and consequently, loss of profit. Consequently, the following research questions will be 
addressed in this work: 
1. How can external factors that influence demand be incorporated in inventory 
optimization to better align supply and demand? 
2. Can forecasting and inventory optimization be integrated instead of performing 
two sequential tasks? 
3. How can the time of the last sale be used to estimate unobservable lost sale...
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