**The Wall Street Journal** Corporate Perceptions Study 2011 surveyed readers and asked how each rated the Quality of Management and the Reputation of the Company for over 250 worldwide corporations. Both the Quality of Management and the Reputation of the Company were rated on an Excellent, Good, and Fair categorical scale. Assume the sample data for 200 respondents below applies to this study.| Quality of Management | Reputation of Company ||------------------------|------------------------|| | Excellent | Good | Fair || Excellent | 40 | 25 | 5 || Good | 35 | 35 | 10 || Fair | 25 | 10 | 15 |- Use a 0.05 level of significance and test for independence of the quality of management and the reputation of the company. Use Table 12.4. - Compute the value of the $ \chi^2 $ test statistic (to 2 decimals).$ \chi^2 $: [Input Box]The $ p $-value is: [Dropdown Selection]What is your conclusion? [Dropdown Selection]If there is a dependence or association between the two ratings, discuss and use probabilities to justify your answer. [Dropdown Selection]**Check My Work**

Doing an Expected Value Chart, 35 24.5 10.5 40 28 12 25 17.5 7.5…

Answered: 1 Use a .05 level of significance and…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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(c) Based on what we know about Observation B, if the cutoff value is lowered to 0.2, what happens to the values of sensitivity and specificity? Explain. Use the ROC curve to estimate the values of sensitivity and specificity for a cutoff value of 0.2. If required, round your answers to three decimal places. Do not round intermediate calculations. Answer Part C, there are no other parts here. I have the sensitivity already and is equal to 1. What is the specificity??If you are not 100% sure you are right, do not attempt this is frustrating. The cutoff value has changed from 0.5 to 0.2. The sensitivity is 1 which is correct. I need help with the specificity. Sensitivity does not equal 1/14 and specificity does not equal 1/31 so don't answer that and do not answer any other parts just answer part C.
As you know from the classes after you are done with the questionnaire, you have to sample the respondents before going for the fieldwork for data collection. Sampling can be done using nonprobability sampling or probability sampling. Which one in your opinion for pantene brand is deteriorating. Among these techniques, which one do you feel is the best sampling technique for your problem? Discuss with examples and justifications.
Choose which criteria give the most promising result? Are these criteria often accurate? maximac criterion maximin Criterion Minimax regret criterion Hurwicz Criterion Equal likelihood criterion
We want to estimate the average purchasing cost of new carspurchased in the last six months. We want a marginerror of $100 at a confidence level of 99%. Aftera preliminary deduction of 50 purchase costs, it is estimatedthe standard deviation at $725. Up to what sample size should wecontinue the investigation?
Which modeling techniques are suitable to build a predictive model ? (Multiple answer may be correct) Group of answer choices Multiple linear regression Classification tree Logistic regression Clustering
Determine the two best decision alternatives by a pessimistic decision maker. Decision dl d2 d3 d4 d2 and d4 Od1 and d4 Od1 and d2 d3 and d4 States of Nature $1 320 280 d1 and d3 170 450 $2 425 -160 100 220 83 -150 160 325 -175
According to Stuart (2010), which of the following statements about observational study designs for causal inference are typically true? Choose all that apply. Including propensity score estimates as a predictor in a regression model on outcomes can help resolve imbalance between treatment and control groups for covariates used in the propensity score model Standard diagnostic tools for binary prediction or classification models (e.g. logistic regression or classification trees) are similarly used in evaluating propensity score estimates When conditional ignorability holds given the observed covariates, then the treatment assignment will also be ignorable conditioned on the propensity scores Overfitting in propensity score estimation can achieve more efficient estimates of treatment effects than using propensity score estimates that are closer to the true propensities Unlike full matching, subclassification, and weighting methods, nearest neighbor matching does not necessarily use all…
KA
Consider the possibility of credit scoring being used in the prison system to decide who is to beallowed out for this 48-hour period.We need to consider how this might work.Specifically, consider this as a scorecard development and propose suitable definitions for:The applicant populationGood’s, Bad’s, and RejectsAlso, suggest eight (and quite different) characteristics for the scorecard development phasethat you think could be predictive and on which you would try to capture data.
Refer to the research analysis output below. Which is NOT a reasonable interpretation of this output? 1. The median Growth from treatment to treatment for this research is significantly different. 2. This is a non-parametric research analysis 3. The original data are most likely non-normal 4. There are most likely outliers in the data 5. The research analysis conducted is the Kruskal -Wallis test
Consider the following OLS regression results, 9-10.46+0.271x, R² -0.13. Calculate the predicted value of y when x is equal to 16. Round to the nearest tenth (one decimal place).
In what ways are the predictive and concurrent approaches to criterion-related validity the same? In what ways are these two approaches different?

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