| |(Points: 1) | | |Table 7-1. The following table lists the probability distribution of the number of cell phones owned by families in small city of 3000 | | |residents. | | |number of cell phones
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Applied Business Statistics FINAL Examination 1. The t distribution A) assumes the population is normally distributed. B) approaches the normal distribution as the sample size increases. C) has more area in the tails than does the normal distribution. D) All of the above. 2. Suppose a 95% confidence interval for μ turns out to be (1,000, 2,100). Give a definition of what it means to be "95% confident" in an inference. A) In repeated sampling, the population parameter
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Unit 5 – Regression Analysis American InterContinental University Abstract In this scenario, Microsoft Excel has been utilized in order to perform a regression analysis therefore; each one has a chart in order to show the correlations in the data. However, satisfaction: overall, intrinsic, and extrinsic had been used. Introduction An analysis has been given to employees for the benefits satisfaction and compared to three different job types such intrinsic, extrinsic, as well
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A) = 1; P(A) = 1- P(not A); P(At least one) = 1 – P(none) ……………………………………………………………………………………………………………………………………………………………………… ……………………………………………………………………………. 1)UNIFORM DISTRIBUTION: The area under the uniform distribution: P( Mx1 ) z1= 1 - CI% x% (confidence interval dat) of the observation fall below X 3) BINOMIAL DISTRIBUTION: calculez : p(success); n= total no; x = number of successes in sample- ni se da in intrebare; BINOMIAL FORMULA: p(x)= [n!/ (X! (n-x)!)]*px(1-p)n-x ; P(x=x) =P(1)+
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| The Bottling Company Case Study | MAT300 (Statistics)Professor Pamela Self | | | 9/7/2014 | | Abstract In my research I find the mean, median, and standard deviations. These are simple calculations that can be done in Excel as long as you have the correct information. I was given the ounces of thirty bottles and had to find out whether the bottling companies were putting less than the advertised amount of liquid into the bottles. I believe the companies were putting enough in
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Chapter 2 | Project Management | | Discussion Questions 1. Software is an essential element for successful management of complex projects. It can provide information on completion performance of critical activities, highlight activities that need additional resources, and suggest the project duration that will minimize costs. However, whether projects are large or small, the people who manage them or perform the activities will ultimately determine the outcome of the project. The project
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General Motors Accounting Analysis and Business Solution | | Table of Contents Introduction2 Hypothesis and Methodology 3 Analysis of Problems4 Variables5 Primary and Secondary Sources6 Resources6 Sample………………………………………………………………………………………………………7 Test Statistics……………………………………………………………………………………………….8 Final Recommendations…………………………………………………………………………………….9 Conclusion………………………………………………………………………………………………...10 Appendices………………………………………………………………………………………………..11 Survey……………………………………………………………………………………………………
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Case Problem 2: Motion Picture Industry This case provides the opportunity to use numerical methods to continue the analysis of the motion picture industry data from chapter 2. Using descriptive statistics such as the mean, median, standard deviation and range. Five-number summaries and identification of outliers are also used. Descriptive Statistics Variable | N | Mean | Median | Standard Deviation | Range | Opening Gross | 100 | 9.37 | 0.39 | 18.8747021 | 108.43 | Total Gross |
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Please write your responses to the discussion board on the provided template. Copy and paste your work to the discussion board as a response to the prompt. Please remember Use of unoriginal text and excessive quotes indicates a lack of comprehension and shows that you may not have mastered the concepts. To show mastery of the concepts be sure that everything is in your own words! If you have any questions please don’t hesitate to ask! ----------------------------------------------------
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cash outflow = 100,000 GBP After 30 days Citi Time 0 After 30 days 4b) Mean -0.03% -0.07% Standard Deviation 2.95% 2.96% Skewness -0.046905551 -0.231396557 Kurtosis 2.254143213 2.215545959 Var 0.00086984 0.000874908 c) The normal distribution has a skewness of zero and kurtosis of 3. Therefore, the changes in the USD/GBP appear to be approximately normally distributed with skewness close to 0 (-0.047 and -0.23) and kurtosis close to 3 (2.25 and 2.21). d) Annualized volatility = (in
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