Data Analysis • Describing data and datasets Introduction to Data Analysis and Decision Making • Making inferences from data and datasets • Searching for relationships in data and datasets Decision Making Uncertainty • Optimization • Measuring uncertainty • Decision analysis with uncertainty • Modeling and simulation • Sensitivity Analysis 1 What is Management Science? • Logical‚ systematic approach to decision making using quantitative methods. • Science
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they are doing‚ clean up their center‚ and go to their desk where the teacher will now assign them to a different center. During this activity one of my behavioral expectations will be that students are quiet during their center time. Quiet doesn’t mean that the student can’t talk‚ but they must whisper to their fellow center members if they need too. Center time is still learning time and I want each student to respect that. Students are told that should they break that rule‚ a warning will be
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Pilgrim Bank Case ‐ Group 5‚ Section D The 95 percent confidence interval is (Z = 1.96) (n =31634) (σ = 272.84) 108.496 < Population Mean < 114.5094 The variation of the mean is not very large (+-3.01)‚ so sample mean can be assumed to be representative of population mean. Number of offline users: 27781‚ x1 = 110.79‚ σ1 = 271.301 Number of online users: 3853‚ x2 = 116.67 σ2 = 283.66 Z = (x1-x2)-(µ1-µ2)/Sqrt(σ12/n1+σ22/n2) Null Hypothesis: µ1= µ2 Alternative Hypothesis: µ1 =! µ2 Z = -1.212 and Z-critical
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opportunity c. backward linkage d. test market 3. Over the past two years‚ home values have been decreasing. This is an example of a(n): a. Symptom b. ambiguous situation c. descriptive hypothesis d. causal inference 4. Which of the following means that the decision maker has all information needed to make an optimal decision? a. Certainty b. Ambiguity c. concomitant variation d. non-spurious association 5. In which situation do symptoms exist‚ but are subtle and few‚ making problem identification
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be affected then further processing are required for the estimation of the stage of the disease. D. Extraction of Exudate region The bright intensity regions in the fundus images with distinct boundaries is considered as the hard exudate. K means clustering algorithm is applied to extract these regions [20]. The clustering algorithm have been tried for different values of k and the best result is obtained for k = 6. The papillary region and other yellow lesions‚ such as cotton wool spots/ soft
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Utilizing t-Test‚ the results of the invalid hypothesis utilizing exceed expectations is: Variable 1 Variable 2 Mean 0.366667 1.733333 Variance 0.654023 16.4092 Observations 30 30 Hypothesized Mean Difference 0 df 31 t Stat -1.81214 P(T<=t) one-tail 0.03983 t Critical one-tail 1.695519 P(T<=t) two-tail 0.079661 t Critical two-tail 2.039513 The huge distinction between Means of the 2 examples is sufficient confirmation that the crime rates in public institutions are more prominent. Subsequently
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Journal of Applied Psychology 2005‚ Vol. 90‚ No. 6‚ 1241–1255 Copyright 2005 by the American Psychological Association 0021-9010/05/$12.00 DOI: 10.1037/0021-9010.90.6.1241 A Meta-Analysis of the Relationship Between Organizational Citizenship Behavior and Counterproductive Work Behavior Reeshad S. Dalal Purdue University Job performance is increasingly being seen to encompass constructs such as organizational citizenship behavior (OCB) and counterproductive work behavior (CWB). To clarify
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_____ 1. What is mean‚ variance and expectations? Mean - The mean of a discrete random variable X is a weighted average of the possible values that the random variable can take. Unlike the sample mean of a group of observations‚ which gives each observation equal weight‚ the mean of a random variable weights each outcome xi according to its probability‚ pi. The mean also of a random variable provides the long-run average of the variable‚ or the expected average outcome over many observations
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typical difference between the values in a set of values. Two types of descriptive analysis are: 1. Univariate analysis: Univariate analysis involves describing the distribution of a single variable‚ including its central tendency (including the mean‚ median‚ and mode) and dispersion (including the range and quantiles of the data-set‚ and measures of spread such as the variance and standard deviation). 2. Bivariate analysis: Used when a sample consists of more than one variable. Bivariate analysis
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| Caterpillar | 1.8 | McDonald’s | 1.6 | Eastman Kodak | 1.9 | United Technology | 1.5 | Exxonmobil | 2.5 | Wal-Mart Stores | 0.7 | a. What are the mean and median dividend yields? Answer 1. Mean x = ∑xi / n n = 10 large companies = (5.0 + 0.8 + 1.8 + 1.9 + 2.5 +3.7 +3.5 + 1.6 + 1.5 + 0.7) / 10 = 23 / 10 = 2.3 The Mean or average of dividend yield is 2.3 from sample of 10 large companies. 2. Median is the value in the middle when the data are arranged in ascending order.
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