Statistics for Scientists, 7.5 hpFirst level
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Short treatment of some probabilistic theoretic ideas, such as the random variable, probability distribution, expected value, variance and correlation. Normal distribution. Basic ideas from the statistical inference theory, such as the statistic model for data, point and interval estimation of model parameters, and hypotheses testing. Methods for experiment planning: randomization, factor experiments, block experiments. Statistical methods: The t- method, regression analysis, variance analysis and a non-parametric method. The Poission distribution and inference about absolute and relative frequencies.