Statistical Analysis for Quick Stab Collection Agency Executive Summary The purpose of the paper is to provide a statistical analysis of overdue bills for Quick Stab Collection Agency (QSCA). The data will be taken from accounts closed over a six month period. The goal is to determine if a correlation between the type of account‚ the amount of the bill and the days to collection exists. To determine the existence of a correlation‚ regression analysis of several variables was completed. This
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EXERCISE 36 Questions to be graded 1. The researchers found a significant difference between the two groups (control and treatment) for change in mobility of the women with osteoarthritis (OA) over 12 weeks with the results of F(1‚ 22) = 9.619‚p = 0.005. Discuss each aspect of these results. Answer F-value shows significance between the two groups. The null hypothesis should be rejected because the P-Value is 0.005 which would mean that the groups are different. 2. State the null hypothesis
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Practice with p-values Work through these problems with your computer partner and/or instructor. Answers follow the problem set. 1. Suppose we’ve done the computation of the Z test statistic. For each of the following situations determine the p-value that goes along with Z. a. Z = 2.12‚ two-sided test b. Z = 4.55‚ two-sided test c. Z = -1.40‚ lower-tail test 2. Suppose Z = 1.92.Which has a smaller p-value‚ the upper-tail test or the two-sided test? From this‚ is it more likely to have a
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CHAPTER 10: TWO-SAMPLE TESTS WITH NUMERICAL DATA 1. The t test for the difference between the means of 2 independent populations assumes that the respective a) sample sizes are equal. b) sample variances are equal. c) populations are approximately normal. d) all of the above ANSWER: c TYPE: MC DIFFICULTY: Moderate KEYWORDS: pooled-variance t test‚ assumption 2. The t test for the mean difference between 2 related populations
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| Statistical Analysis of Yearly Checkups based on Gender | | STAT 3125 Section 04 | | 11/29/2012 | | This statistical analysis is of a randomly selected sample of 300 from the 2010 version of the Behavioral Risk Factor Surveillance System (BRFSS) database1. The selected study on the length of time since last routine checkup was listed under the SAS Variable Name – CHECKUP1.This data set specified how long it had been since the respondent had been in for a routine checkup‚ defining
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Forecasting demand and inventory management using Bayesian time series T.A. Spedding University of Greenwich‚ Chatham Maritime‚ Kent‚ UK K.K. Chan Nanyang Technological University‚ Singapore Batch production‚ Demand‚ Forecasting‚ Inventory management‚ Bayesian statistics‚ Time series Keywords Introduction A typical scenario in a manufacturing company in Singapore is one in which all the strategic decisions‚ including forecasting of future demand‚ are provided by an overseas office. The
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Diagnostic and Statistical Manual Critique The Diagnostic and Statistical Manual of Mental Disorders (DSM) has a long history‚ starting back during World War II. This paper will give a brief history of the DSM and provide some context for the DSM such as: What is it? What is it used for? Who uses it and why? DSM and diagnoses strengths and challenges will also be discussed. Some interesting literature about the DSM and it’s challenges will also be discussed. A big thing happened in the 1940’s
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two sections outlining the statistical analysis of data and hypothesis testing to observe if CCResort have met their 2 major key performance indicators (KPIs) 1 More than 40% of their customers stay for a full week (i.e. seven nights); 2 The average customer spends more than $255 per day in excess of accommodation costs. Figures at a glance This section of the report aims to give users a better understanding of the data through statistical data analysis of investigation
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Fact or Inference Beatrix Drummond Everest University Online “Everything we hear is an opinion‚ not a fact. Everything we see is a perspective‚ not the truth.” - Marcus Aurelius In our current modern age‚ we have a tendency to pay less attention to the people we interact with‚ than we should. The conversations we have at home or at work might be less serious or deep‚ so are our relationships. Unfortunately‚ the lack of our will to think a situation over could lead us to incorrect statements
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problem. Inference is the act or process of deriving logical conclusions from premises known or assumed to be true.[1] The conclusion drawn is also called an idiomatic. The laws of valid inference are studied in the field of logic. Human inference (i.e. how humans draw conclusions) is traditionally studied within the field of cognitive psychology; artificial intelligence researchers develop automated inference systems to emulate human inference. Statistical inference allows for inference from quantitative
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