Statistics is the study of the collection‚ organization‚ analysis‚ interpretation‚ and presentation of data. It deals with all aspects of this‚ including the planning of data collection in terms of the design of surveys and experiments. ( according to mister Wikipedia) Statistik adalah satu bidang pengumpulan‚ pengurusan‚ pengaanalisaan‚ penerangan‚ dan pembentangan data. Ia merangkumi setiap aspect termasuklah merancang proses pengumpulan data melalui olahan kajiselidik dan eksperimen. Statistic
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vital statistics of populations studied probability through games of chance‚ gambling | 18th Century | Laplace‚ Gauss | normal curve‚ regression through study of astronomy | 19th Century | Quetelet Galton | astronomer who first applied statistical analyses to human biologystudied genetic variation in humans(used regression and correlation) | 20th Century (early) | PearsonGossett (Student) Fisher | studied natural selection using correlation‚ formed first academic department of statistics‚ Biometrika
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Statistics is the study of the collection‚ organization‚ analysis‚ interpretation‚ and presentation of data.[1][2] It deals with all aspects of this‚ including the planning of data collection in terms of the design of surveys and experiments. In mathematics‚ a graph is a representation of a set of objects where some pairs of the objects are connected by links. The interconnected objects are represented by mathematical abstractions called vertices‚ and the links that connect some pairs of vertices
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Master of Business Administration- MBA Semester 1 MB0040 – Statistics for Management - 4 Credits (Book ID: B1129) Assignment Set - 1 (60 Marks) Q1. Define “Statistics”. What are the functions of Statistics? Distinguish between Primary data and Secondary data. Answer: Statistics is usually and loosely defined as: 1. A collection of numerical data that measure something. 2. The science of recording‚ organizing‚ analyzing and reporting quantitative information. Professor A.L. Bowley
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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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s |COLLEGE OF THE BAHAMAS | |BUSINESS STATISTICS | |FIRST INTERM EXAM | |COURSE: STAT201
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shorter than TT Air‚ it does not significantly 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
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encountered by different small business enterprises? B. Importance of the study By determining the common problems or difficult situations encountered by different small business enterprises‚ we can also determine the possible solutions or alternative in solving such business problem and to find or create actions to prevent in copping which such difficulties. Also we can take necessary actions for the problem will not worsen nor become a big threat to the business. It gives the owners especially
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Chapter 2 Charts and Graphs Statistics is the science of data. A first step in the study of statistics is the examination of data. Chapters 2 and 3 present several techniques for reducing data so that it is more manageable. In addition‚ graphic displays are essential to understand and interpret complex sets of data in order to be able to make business decisions easier. Chapter 2 discusses and displays several graphical tools including the histogram‚ frequency polygon‚ ogive‚ dot plot‚ bar
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Scatterplots 4 Pearson’s Correlation 4 Spearman’s Rho 4 Probability 4 Binomial Distribution 4 Assumptions: 5 Subjective Probability 5 Normal Distribution 5 Standard Normal Distribution 5 Sampling Distribution 5 Standard Error of Statistic 5 Central Limit Theorem 5 Area under the Sampling Distribution of the Mean 6 Sampling Distribution‚ Difference between Independent means 6 Sampling Distribution of a Linear Combination of Means 6 Sampling Distribution of Pearson’s R 7
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