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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1) Unstructured interviews are best used for D. asking individualized questions with no specific order 2) A recent study of breast cancer revealed that 13% of women in the sample used antibiotics more than 500 days in their lifetime. Further‚ 79% of these women developed breast cancer. According to the American Cancer Society‚ one in 12 women will develop breast cancer at some time in their lives. Of the numbers mentioned‚ which are parameters? D. 79% and one in 12 3) Basic business research
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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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23‚ a 21 point drop. The average drop in T scores was 9.6 representing a decline of 20% from the baseline‚ patient 4 almost doubled the average decline. 4. What is the mean (overbar above X ) and standard deviation (SD) for preoperative T score for CVLT Acquisition? Mean: 45.9 Standard Deviation: 5.2 5. Is the preoperative Retrieval T score for Patient 5 above or below the mean for the norm of the group? Provide a rationale for your answer. Above the mean for the norm of the group. Patient 5 T score
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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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12/21/2013 VIETNAM NATIONAL UNIVERSITY – HOCHIMINH CITY INTERNATIONAL UNIVERSITY SCHOOL OF BUSINESS ADMINISTRATION ------o0o------ CHAPTER 14: CHI-SQUARE TESTING STATISTICS FOR BUSINESS TAs: Vo Vuong Van Anh‚ Le Phuoc Thien Thanh‚ and Le Nhat Ho December 21‚ 2013 TABLE OF CONTENTS • PART I: CHI-SQUARE TESTING FOR GOODNESS-OF-FIT. • PART II: CHI-SQUARE TESTING FOR NORMAL DISTRIBUTION. • PART III: CHI-SQUARE TESTING FOR INDEPENDENCE. December 2013 Powered by Vo Vuong Van Anh 2 1 12/21/2013
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and standard deviations for the two stocks. In addition‚ compute the covariance and the correlation between the two stock returns. Report all numbers as annualized. (Hint: annualized variance is equal to 12*monthly variance. Also‚ please do not report variances and covariances in %‚ which would not make sense.) 2. Plot the mean-standard deviation graph for a portfolio constructed from investments in MSFT and GM. (Hint: first compute the portfolio returns and standard deviation for portfolios
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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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