| 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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Business Statistics‚ 9e (Groebner/Shannon/Fry) Chapter 10 Estimation and Hypothesis Testing for Two Population Parameters 1) The Cranston Hardware Company is interested in estimating the difference in the mean purchase for men customers versus women customers. It wishes to estimate this difference using a 95 percent confidence level. If the sample size is n = 10 from each population‚ the samples are independent‚ and sample standard deviations are used‚ and the variances are assumed equal‚ then
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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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study of 2‚000 shots by a single player is analyzed. For this player‚ the model of Bernoulli trials is inadequate. KEY WORDS: Bernoulli trials‚ the hot-hand‚ power‚ simulation study‚ case study. 1 1 Introduction In this paper I consider a statistical analysis of basketball shooting in a controlled (practice) setting‚ with special interest in the hot-hand. In Section 2‚ I review and critically examine the two seminal papers on this topic: Gilovich‚ Vallone‚ and Tversky (GVT) [5]‚ and Tversky
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Lind‚ Chapter 13‚ Exercise 42 A sample of 12 homes sold last week in St. Paul‚ Minnesota‚ is selected. Can we conclude that as the size of the home (reported below in thousands of square feet) increases‚ the selling price (reported in $ thousands) also increases? a. Compute the coefficient of correlation. Coefficients Standard Error t Stat P-value Intercept 59.95717345 28.65750326 2.092198085 0.062896401 Home Size 31.69164882 24.44661008 1.296361692 0.223968044 The formula for the coefficient
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sample The t-test is a hypothesis test. There are seven steps for a hypothesis test. 1. 2. 3. 4. 5. 6. 7. State the null hypothesis State the alternative hypothesis State the level of significance State the test statistic Calculate Statistical Conclusion Experimental Conclusion Example One-Sample t-test The age of the head of household residents of Phoenix‚ Arizona has increased in the recent years. Ten years ago the average age of head of household in Phoenix‚ Arizona was 33.
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’Does "Ideal Speech" ever really take place? ’ Introduction Ideal Speech is a philosophical theory developed by scholar Jurgen Habermas. It is a form of communication that is based on norms of truth‚ freedom and justice‚ which underlie the conditions for engaging in understandable and truthful dialogue (Badillo‚ 1991‚ p. 19). It requires what we would think of as "fair play" in dialogue. All participants must have equal opportunity to participate. They must have the right to assert‚ defend or question
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1. First enter the Real estate data (text book data set 1) into SPSS and then select a sample of size‚ n = last two digits of your ID and answer the exercises. I. Select an appropriate class interval and organize the “Selling price” into a frequency distribution. II. Compute the Mean‚ Median‚ Mode‚ Standard Deviation‚ Variance‚ Quartiles‚ 9th Decile‚ 10th Percentile and Range of “Selling price” from the raw data of your sample and interpret. III. Develop a histogram (Using question “1”) for
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Diagnostic Statistical Manual of Mental Disorders (DSM) The Diagnostic and Statistical Manual of Mental Disorders‚ or DSM‚ is a classification of mental disorders. It is provided in a common language format using standard criteria. It is published by the American Psychiatric Association. It is used mainly in the United States but in varying degrees clinicians‚ researchers‚ mental health professionals‚ policy makers‚ clinicians‚ and other around the world also may use. Its intent is to be applicable
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