| 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 averages 3.42. The median of the data is 3 and the mode is 2. The standard
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Department of Management Faculty of Management and Human Resource Development SUBJECT: SHD 1713: STATISTIC 1 LECTURER: DR‚ LOW HOCK HENG PREPARED BY: NOOR AZNEE BINTI JUNAIDI ZULFADLY BIN SAIFUL MOHD RASYDUDDIN BIN MAT NAWI MOHD HAZRUL AZEWAN MOHD ASRI BIN MOHD ARIFIN MOHD FAKERRYIKMAL BIN KAMALUDIN 820423-12-5184 870314-56-5549 830503-03-5829 810406-01-5451 750203-08-5159 890417-59-5265 SX110698HDS04 SX110718HDS04 SX110686HDS04 SX105341HDD04 SX112315HDF04 SX112317HDF04 1. A researcher
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| | | The mean is the average of all of the numbers added together and divided by the number of data. The median is the middle number in a data set that is numerically in order. The mode is the number that occurs the most often in a data set. A skewed distribution measures lack of similarity in a bell-shaped graph known as a bell curve. It occurs
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Business Decision Making Q1.1 1.2 1.3 Problem Recognition: consumers recognize a problem as a need or want. Of course‚ the most frequent problem occurs when consumers realize they are out of the product. For example‚ when the gas tank gets near empty‚ or you run out of lunch meat for your sandwiches‚ or when your car is due for maintenance. Problem recognition also occurs when a consumer receives new information about a good‚ service‚ or business. New fashions‚ for example‚ can make people recognize
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Motion Picture Industry Ans 1: Using descriptive statistics such as the mean‚ median‚ standard deviation‚ range and quartile followings results were found: Variable Min Max Range Mean Deviation 1st Quartile 3rd Quartile Interquartile range Opening gross 0.009 108.436 108.427 9.37432 18.8747021 0.0625 12.4605 12.398 Total gross 0.025 380.176 380.151 33.0384 63.16469 0.3895 47.5585 47.169 No of theatres 5 3910 3905 1277.94 1379 45.5 2679 2634 weeks in top 60 1 27 26 8.68 6.38951161 3 13 10 Opening
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MELBOURNE INSTITUTE OF BUSINESS AND TECHNOLOGY In association with DEAKIN UNIVERSITY MIS171 Business Analytics Tutorial Week 2 Summary Measures for Numerical Variables Introduction In this week’s tutorial‚ we look at summarising a single numerical variable. There are five (5) aspects that need to be investigated: average‚ spread‚ location‚ shape and outliers. You will complete some of the work by hand and the rest using Microsoft Excel. Specifically the aims of this tutorial are to: Produce
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MM207 Statistics Unit IV Mid Term Project 1. In the following situation identify the implied population. A recent report on the weekly news presented the findings of a study on the effectiveness of Onglyza‚ along with diet and exercise‚ for treating diabetes. According to Bennett (2009)‚ a population is defined as “the complete set of people or things being studied” in a statistical study. Given that the information is in relation to finding the success of a drug used to care for
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Name ap eP m e tr .X w Candidate Number w w Centre Number 1112/01 Paper 1 November 2005 1 hour Candidates answer on the question paper Additional Materials: Protractor Ruler NO CALCULATOR ALLOWED READ THESE INSTRUCTIONS FIRST Write your Centre number‚ candidate number and name on all the work you hand in. Write in dark blue or black pen in the spaces provided on the Question Paper. You are not allowed to use a calculator. Answer all questions. You may
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ARTICLE IN PRESS Journal of Financial Economics 94 (2009) 67–86 Contents lists available at ScienceDirect Journal of Financial Economics journal homepage: www.elsevier.com/locate/jfec Opaque financial reports‚ R2‚ and crash risk$ Amy P. Hutton  Alan J. Marcus‚ Hassan Tehranian Boston College‚ Fulton Hall 520‚ 140 Commonwealth Ave.‚ Chestnut Hill‚ MA 02467-3808‚ USA a r t i c l e in fo Article history: Received 2 April 2008 Received in revised form 16 July 2008 Accepted 1 October
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Assignment No.1(Individual) Capital University of Economics and Business BTEC center Unit Name: Quantitative Techniques for Business Unit Code: 20746P Unit level: H1 Unit Tutor: Lili Kang Student Name: Lan Ma Date of issue: Sep 3rd‚ 2007 Date of submission: Sep 25th‚ 2007 Content: Abstract u Literature review-----------------------------------------3 Introduction u Company Name £ºStarbucks Coffee-------------------3
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