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This text is designed for a two-semester introductory course in statistics for students majoring in engineering or any of the physical sciences. Inevitalby, once these studenrts graduate and are employed, they will be involved in the collection and analysis of data and will be required to think critically about the results. Consequently, they need to acquire knowledge of the basic concepts of data description and statistical inference and familiarity with statistical methods they are required to use on the job.The text includes optional theoretical exercises allowing instructors who choose to emphasize theory to do so without requiring additional materials. The assumed mathematical background is a two-semester sequence in calculus - that is, the course could be taught to students of average mathematical talent and with a basic understanding of the principles of differential and integral calculus.
Mathematical statistics. --- Engineering --- Engineering statistics --- Engineering mathematics --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical methods. --- Statistical methods --- Mathematical statistics --- Statistiek.
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Engineering --- Mathematical statistics. --- Statistical methods.
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Engineering --- Mathematical statistics. --- Mathematics --- Statistical methods. --- Data processing.
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Mathematical statistics --- Statistics. --- Geografie --- Ruimtelijke analyse --- Algemeen. --- Ruimtelijke analyse.
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Statistics. --- Commercial statistics --- Statistique --- Case studies --- Statistics as Topic --- Statistics --- Kansrekening --- Toegepaste statistiek --- Wiskundige statistiek --- Kansrekening. --- Toegepaste statistiek. --- Wiskundige statistiek. --- Case studies. --- Statistical analysis
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Commercial statistics. --- Economics --- Statistical methods.
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