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    variabele * Value: 1 komt overeen met label laag‚… * Doe da analyze; reports: case summaries: sleep “mening over prijs’ in variable; ok gemakkelijk om betekenis van variabele te gaan weergeven Crtl A : alles toevoegen. * Frequentietabel maken: analyze; descriptive statistics; frequencies * Median berekenen van mening over prijs: terug naar frequencies en display uitschakelen; statistics klikken en median aanklikken * Met tabel: charts aanklikken… * Beoordelingscijfer:

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    The History of statistics can be said to start around 1749 although‚ over time‚ there have been changes to the interpretation of the word statistics. In early times‚ the meaning was restricted to information about states. This was later extended to include all collections of information of all types‚ and later still it was extended to include the analysis and interpretation of such data. In modern terms‚ "statistics" means both sets of collected information‚ as in national accounts and temperature

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    Statistics Case Study-1 Age Weeks Employed 55 21 30 18 23 11 52 36 41 19 25 12 42 7 45 25 25 6 40 21 25 13 25 11 59 34 49 27 33 18 35 20 a. Age Weeks Employed Mean 37.75 Mean 18.6875 Standard Error 2.974195 Standard Error 2.188452 Median 37.5 Median 18.5 Mode 25 Mode 21 Standard Deviation 11.89678 Standard Deviation 8.753809 Sample Variance 141.5333 Sample Variance 76.62917 Kurtosis -1.17143 Kurtosis -0.21626 Skewness 0.337402 Skewness 0.522601 Range 36 Range 30

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    Question 2b 6 Question 2c 7 Question 3a 8 Question 3b 8 Question 3c 10 Question 3d 11 Question 4 12 Question 5 14 References 15 Question 1 The sampling method that Mr. Kwok is using is Stratified Random Sampling Method. In this case study‚ Mr Kwok collected a random sample of 1000 flights and proportions of three routes in the sample. He divides them into different sub-groups such as satisfaction‚ refreshments and departure time and then selects proportionally to highlight specific

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    GM 03 Business Statistics Assignment II Assignment Code: 2012 GM03 B2 Last Date of Submission: 15th November 2012 Maximum Marks: 100 Attempt all the questions. All questions are compulsory and carry equal marks. SECTION – A 1. a) Explain the need for different forecasting techniques. How can we evaluate as to how good is our forecast. b) Collect data on the amount of expenditure you do each day for the next 25 days and

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    Hospital J Case Study and Recommendations for Improvement The purpose of this case study is to examine‚ analyze‚ and interpret a given set of data for Hospital J in order to recommend changes to maximize efficiency of operations. The data provided was recorded over the course of a year in Hospital J’s emergency room. Data is attached in Appendix A. Various methods were used to determine the best course of action for the hospital in terms of staffing‚ supplies‚ and income allotment. The nominal

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    STATISTICS HIGHER SECONDARY – FIRST YEAR Untouchability is a sin Untouchability is a crime Untouchability is inhuman TAMILNADU TEXTBOOK CORPORATION College Road ‚ Chennai- 600 006 i ©Government of Tamilnadu First Edition – 2004 Reprinit - 2005 Chairperson Dr. J. Jothikumar Reader in Statistics Presidency College Chennai – 600 005. Thiru K.Nagabushanam S.G.Lecturer in Statistics Presidency College Chennai – 600 005. Reviewers Thiru R.Ravanan S.G.Lecturer in Statistics Presidency

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    Organization of Terms Experimental Design Descriptive   Inferential   Population Parameter Sample Random Bias Statistic Types of Variables   Graphs Measurement scales Nominal Ordinal Interval Ratio Qualitative Quantitative Independent Dependent   Bar Graph Histogram Box plot Scatterplot Measures of Center Spread Shape Mean Median Mode Range Variance Standard deviation Skewness Kurtosis Tests of Association   Inference Correlation Regression Slope y-intercept

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    Chapter Self Review page 3 3-4 71 The monthly sales for a sample of HiTec Electronic supply stores were organized into a frequency distribution. The mean of weekly sales was computed to be $ 3‚219‚360‚ the median $3‚192‚000‚ and the mode $3‚176‚800. a. Sketch the sales in the form of a smoothed frequency polygon. Note the location of the mean‚ median‚ and mode on the x-axis. - Mode 3‚176‚800 < Median 3‚192‚000 < Mean 3‚219‚360 Therefore‚ b. Is the distribution symmetrical

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    STATISTICS

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    affect the output as the one day does not change much (unless there had been a market shock). However based on Central Limit Theorem‚ if the sample size is greater than or equal to 30 samples‚ the sample statistics reflect the time population parameters. • The Median data does not show much in this case as the range (4.7 AA Fly and 6.8 TT Air) is small for both AA Fly and TT Air. This means that the mean is more applicable to be used. • The Mode of AA Fly (7.3) is much nearer to the mean (7.167)

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