Release date: 27 April 2014 Submission date: 9 May 2014 TUTORIAL ON HYPOTHESIS TESTING (1) Basic Concept 1. State the null and alternative hypothesis for each conjecture : a. A researcher thinks that if expectant mothers use vitamin pills‚ the birth weight of the babies will increase. The average birth weight of the population is 3.0kg. b. An engineer hypothesizes that the mean number of defects can be decreased in a manufacturing process of compact disks by using robots instead of humans
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Analyzing and Interpreting Data – BIMS‚ Inc. QNT/351 Analyzing and Interpreting Data – BIMS‚ Inc. Consulting Group – Team D has performed a series of analysis on behalf of the top management of Ballard Integrated Managed Services‚ Inc (BIMS). These tasks were the result of an emerging trend of attrition and employee dissatisfaction within their organization. The initial actions taken involved data collection that were presented in the form of an internal employee survey. The data collection
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Before attempting those questions‚ be sure to read carefully Chapter 8 of Bodie‚ Kane‚ and Marcus’s Investments book. Also‚ I have included an Excel spreadsheet (Exhibit 1)‚ which contains data on several stocks‚1 including returns‚ standard deviations and correlations‚ and a simple three asset optimizer model‚ which makes use of the Microsoft Excel Solver Add-In‚ along with some simple instructions. Markov’s starting date of September 1 was approaching fast; it was‚ in fact‚ only a week away
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subject Answer Key: A Question 7 of 20 0.0/ 1.0 Points Which of the following are the two most commonly used measures of variability? A.Range and interquartile range B.Mean and variance C.Variance and median D.Variance and standard deviation Answer Key: D Question 8 of 20 1.0/ 1.0 Points Numerical variables can be subdivided into which two types? A.Cross-sectional and discrete B.Nominal and progressive
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and is used to set the mean and values of the centerline for finger height and pod weight. The mean of the centerline data in Exhibit 3 is as follows: Descriptive Statistics for Centerline Data Pod Weight Finger Height Mean 2.80 2.06 Standard Deviation .02 .13 Pareto Chart A Pareto chart (Figure 1 of the Appendix) was compiled based on the data from August 6th and 7th that is provided in Exhibit 5. By counting the defects that both the auditors and assembly operators counted‚ by type‚ we can
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Creating efficient frontiers using excel. Suppose we have 3 risky assets whose net return has the mean vector and variancecovariance matrix given below: Asset Mean VarianceCovariance Matrix 1 2 3 0.06 0.12 0.03 1 0.3 0.3 0.3 1 0.3 0.3 0.3 1 Weights Ones Mean Portfolio Return 1 1 1 0.176666122 Portfolio Portfolio Portfolio Variance STD Constraint 2.42961 1.558721 1 0.079372 1.603166 -0.68254 To model the portfolio choice problem‚ I begin by highlighting the mean vector and giving
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household income is $119‚155 and that the population sample household income standard deviation is $30‚000. Two Playbill executives recently hypothesized that the average annual household income of its readership has increased and so believe that the magazine price should also increase. From a 2012 sample‚ Boos Allen has profiled the new average annual household income to be $124‚450 with a population standard deviation unchanged at $30‚000. To determine if this hypothesis is valid‚ using the α value
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use the entire dataset back to 1880. 3. The true statements are (c) and (e). The explanations follow. Statement (c): Let = the annual standard deviation of the risky investments and 1 = the standard deviation of the first investment alternative over the two-year period. Then: 1 2 Therefore‚ the annualized standard deviation for the first investment alternative is equal to: 1 2 2 5-1 Statement (e): The first investment alternative is more attractive
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the water and the standard deviation. Converting minutes to seconds: The average time taken (seconds) for the disc to resurface and float on the surface of the water: Standard Deviation: (Graphic Calculator) 1. Press STAT 2. Press 1: Edit 3. Put in the data for time taken in seconds at distance of 10cm away from lamp into L1 4. Press STAT 5. Press > to go into CALC 6. Press 1: 1-Var Stats and ENTER 7. Sx: 37.89 Standard Deviation = 37.89 Graph Graph:
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Therefore the goal is to reduce this by half as well as taking mean and standard deviation of each style into account. Obviously‚ to produce half of the forecast‚ it has to produce at lower than the “mean” (Average Forecast) of each style. By taking standard deviation into account‚ this can be calculated using the formula “Mean – K*Standard deviation” . Note that the standard deviation in this formula is “2*standard deviation” in the Exhibit 10 as Wally found that the standard
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