b) State the decision rule. c) Compute the value of test statistic. d) State your conclusion 5. The MacBurger restaurant chain claims that the waiting time of customers for service is normally distributed, with a mean of 3 minutes and a standard deviation of 1 minute. The quality control department found in a sample of 50 customers at the Warren
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SECTION I: MULTIPLE-CHOICE 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. 2. If we are testing for the difference between the means of 2 related populations with samples of n1 = 20 and n2 = 20, the number of degrees of freedom is equal to a. 39. b. 38. c. 19. d. 18.
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this variability, track down its sources and eliminate them. In the process of measuring variability, we introduce some elementary tools of quality or process improvement such as Pareto charts. We then classify variability into “abnormal” and “normal” types. We introduce statistical process control over time as a device to identify and eliminate abnormal variability in the short run. Since our goal is to teach the fundamental framework of feedback control and control limit policy, our discussion
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Stats/Modelling Notes Introduction & Summary Computer system users, administrators, and designers usually have a goal of highest performance at lowest cost. Modeling and simulation of system design trade off is good preparation for design and engineering decisions in real world jobs. In this Web site we study computer systems modeling and simulation. We need a proper knowledge of both the techniques of simulation modeling and the simulated systems themselves. The scenario described above
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for their assistance and comments. We thank Jon James for assistance with the Monte Carlo simulations. Any errors or omissions are the fault of the authors. 2 ABSTRACT Baron and Kenny’s (1986) framework for mediation analysis has become a standard part of the consumer researcher’s toolkit: an independent variable X affects some mediator M that in turn affects some
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EXCEL FORMULA SHEET DISTRIBTIONS Binomial Distributions For an EXACT probability =BINOMDIST(x,n,p,false) For less than or equal to x (at most x) =BINOMDIST(x, n, p, true) For less than x =BINOMDIST((x-1), n, p, true) For greater than x =1-BINOMDIST(x, n, p, true) For greater than or equal to x (at least x) =1-BINOMDIST((x-1), n, p, true) Normal Distributions To find the probability of a z-score (instead of using the Standard Normal Table!!) =NORMSDIST(z) * (used for P(z < ?)) =1-NORMSDIST(z)
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Frequency Distribution, Class Limit & Boundary. Organizing and Graphing Data Organizing and Graphing of Qualitative (Simple Bar Chart, Multiple Bar Chart, Percentage Pie Chart) data. Organizing and Graphing of Quantitative data (Stem and Leaf Plot, Histogram, Frequency Polygon, Ogive) Numerical descriptive Measures Measure of central tendency for Ungrouped and Grouped Data (Mean, Median and Mode), Measure of Dispersion and its Types. Cox-Box Plot Variance and use of Standard Deviation
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for the FIB density data. Take the place of the Generalized Error Distribution, asymmetric normal distribution is used. The same variables which are used in other models are used for this specification too. Using the different set then the comparison would have been difficult. Turbidity, rainfall, dew point, and cloud cover are significant variables. In the model specification, the skewed normal is replaced with a normal distribution making it a fixed symmetric GARCH model. The consequence of the model
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is normally distributed with a mean of 30.05 inches and a standard deviation of 0.2 inches. What is the probability that a sheet selected at random will be less than 29.75 inches long? Student Answer: .8944 .1056 .9332 .0668 Comments: 2. Question : The population of lengths of aluminum-coated steel sheets is normally distributed with a mean of 30.05 inches and a standard deviation of 0.2 inches. What is the probability that a sheet
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The t-Distribution Characteristics of the t-distribution similar to the normal distribution 1. It is bell-shaped. 2. It is symmetric about the mean. 3. The mean, median, and mode are equal to 0 and are located at the centre of the distribution. 4. The curve never touches the x axis. Characteristics of the t-distribution that differ from the normal distribution 1. The variance is greater than 1. 2. The t-distribution is a family of curves based on the concept of degrees of freedom, which
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