delivery order and letting the customers inform their own pick-up times. The data is fine and appropriate for statistical use‚ and hence we can go through the statistical calculations. Statistical Efforts Using Excel‚ we found the standard deviation and mean of the sample data for the total delivery time‚ preparation time‚ waiting time and travel time. First‚ in order to discuss the viability of the company’s 29-minute delivery guarantee strategy‚ we computed the following statistical parameters
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highest annual average return of 17.7%. The Russell 2000 had the second highest annual return with a standard deviation of 14.1% & 17.2%. Treasuries and bond returns were a poor performer relative to the other assets which were in-line with our group’s anticipations. However‚ the MSCI Index reported a lower return than the treasuries and bonds along with the second greatest standard deviation. Events such as‚ Russia’s sovereign debt default in 1998‚ which ultimately brought down LTCM likely increased
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the most appropriate descriptive statistics in the following table for the 3 variables of interest‚ as a starting point in the analysis: ASSETS YLD_7DY YLD_30DY Mean 1994.8089 4.1622 4.0982 Median 496.5000 4.1800 4.1300 Mode 1.70 4.16 3.89 Std. Deviation 4644.1251 .3262 .3253 Range 27003.90 2.12 2.12 Minimum 1.70 2.67 2.61 Maximum 27005.60 4.79 4.73 For assets‚ it is very clear that the range is very big; this is a first indication that the assets data has a lot of variability. Also‚ mean and median
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Introduction Pocket Money is not just representing how much money that teenagers’ get; it also represents teenagers’ buying tendency‚ marketing size of teenagers‚ their finance method and possible reasons of stress because of financial problem. It’s worth to make a statistic on the topic teenager’s pocket money‚ for the reference of further studies on social research. In this report‚ the following data would be collected and analyzed. Firstly‚ we want to compare the pocket money teenagers how
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Mixed Method Research Manuscript Silva Adeniyi R7001 - Introduction to Research Methods Instructor – Dr. Giselle A. Stone Argosy University‚ Atlanta June 11‚ 2013 Research Manuscript Goering‚ C. Z.‚ PhD.‚ & Baker‚ K. F.‚ PhD. (2010). "Like the whole class has reading problems": A study of oral reading fluency activities in a high intervention setting. American Secondary Education‚ 39(1)‚ 61-77. Retrieved from http://search.proquest.com/docview/814393096?accountid=34899 Type of Study
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Question: Due to financial hardship‚ the Nyke shoe company feels they only need to make one size of shoes‚ regardless of gender or height. They have collected data on gender‚ shoe size‚ and height and have asked you to tell them if they can change their business model to include only one size of shoes – regardless of height or gender of the wearer. In no more 5-10 pages (including figures)‚ explain your recommendations‚ using statistical evidence to support your findings. The data found are below:
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standard deviation of 0.018 inch. The customer will buy only those pins with lengths in the interval 1.00 ± 0.02 inch. In other words‚ the customer wants the length to be 1.00 inch but will accept up to 0.02 inch deviation on either side. This 0.02 inch is known as the tolerance. 1. What percentage of the pins will be acceptable to the consumer? In order to improve percentage accepted‚ the production manager and the engineers discuss adjusting the population mean and standard deviation of the
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when we have uncertainty when reorder point and total cost Given Customer Service level = 9.5% Mean demand per week = annual demand / no of week = 439/52 = 8.44 unit. Mean monthly demand = 36.58 unit Standard Deviation of demand = 25.67 Lead time = 4 weeks Standard deviation of demand during lead time = mean demand per week * root of Lead time = 8.44*root of 4 = 16.88 Safety Stock = F-1 (CSL) * std. Dev. Of Demand during lead time Safety stock (ss) = F-1(.095)
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MAKING FAMILIAR STRANGE (MFS) APPROACH OF SYNECTICS MODEL OF TEACHING - A TREATMENT FOR ENHANCING CREATIVITY AND ACADEMIC ACHIEVEMENT OF LEARNERS An ABSTRACT Submitted to Lovely Professional University In Partial fulfillment of the Requirement for the Award of the Degree of Master of Philosophy in Education Supervisor Investigator Dr. Ramandeep Kaur Uttam Thakur Senior Lecturer [pic] Lovely School of Education Department of Education Phagwara
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Statistics: Size Mean 3.42 Standard Error 0.24593014 Median 3 Mode 2 Standard Deviation 1.73898868 Sample Variance 3.02408163 Kurtosis -0.7228086 Skewness 0.52789598 Range 6 Minimum 1 Maximum 7 Sum 171 Count 50 Frequency Distribution: Size Frequency 1 5 2 15 3 8 4 9 5 5 6 5 7 3 The mean household size of the customers is given as 3.42. The median of the data is 3 and the mode is 2. The standard deviation is given approximately as 1.74. Maximum number of customers has a household
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