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Powerpoint
Powerpoint

... m0 is an a priori (before taking the sample) specified number like 0 or 5.3 • The most common alternative hypothesis is H1: m  m0 • This is called a two-sided hypothesis, since it includes values falling above and below the null hypothesis ...
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... deviation to compute a 99% confidence interval for the mean. The doctor believes that subjects fed a sugar pill will have an average score on the same scale of 58.73. Does the mean from your sample differ significantly from 58.73? Why? 2. How would these results change if these individuals were a ra ...
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... Can you think of any other situations where there are equally likely outcomes? *** Look at Guided Exercise #1 (text p. 188 - 189). Sample Space A statistical experiment (or an experiment) can be thought of as an activity that results in a definite outcome. Usually the outcome is in the form of a de ...
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Exercises 1. Descriptive Statistics 2. Probability and Expected Value

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How many clusters? An information theoretic perspective.

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History of statistics

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 records, and analytical work which requires statistical inference.Statistical activities are often associated with models expressed using probabilities, and require probability theory for them to be put on a firm theoretical basis: see History of probability.A number of statistical concepts have had an important impact on a wide range of sciences. These include the design of experiments and approaches to statistical inference such as Bayesian inference, each of which can be considered to have their own sequence in the development of the ideas underlying modern statistics.
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