By Gary L. Tietjen
Statistics is the authorized physique of tools for summarizing or describing information and drawing conclusions from the precis measures. every person who has information to summarize therefore wishes a few wisdom of records. step one in gaining that wisdom is to grasp the pro jargon. This dictionary is geared to provide greater than the standard string of remoted and self sustaining definitions: it offers additionally the context, functions, and similar terminology. The meant viewers falls into 5 teams with really various wishes: (1) specialist statisticians who have to keep in mind a definition, (2) scientists in disciplines except information who want to know the suitable tools of summarizing info, (3) scholars of facts who have to expand their knowl fringe of their material and make consistent connection with it, (4) managers who can be examining statistical experiences written by way of their staff, and (5) newshounds who have to interpret executive or medical experiences and transmit the data to the public.
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Extra info for A Topical Dictionary of Statistics
If he were to take a different sample, the estimates would be different and he would need to express that sampling uncertainty in some way. This chapter defines the desirable properties of point estimates (which consist of 1 number). The uncertainty of the estimate resulting from sampling will be expressed in the form of interval estimates (which will consist of 2 numbers) of the quantity being estimated (in this case the height of men). Suppose now that someone had claimed that the average height of black college males is greater than the average height of white college males.
1980. Practical Nonparametric Statistics. 2nd ed. New York: Wiley and Sons. 5 Regression A common problem is that of estimating a linear relationship between 2 variables, x and y. If an electrician charges a flat fee 130 plus a fixed amount 131 per outlet when he wires a house, the relationship can be expressed as y = 130 + 131x, where y is his total fee and x is the number of outlets. There is no error in the fee because we can count the number of outlets. For a given number of outlets the fee is invariably the same.
The area under the curve is then A times P. Nearly any system can be simulated if the components are well understood. L of a normal population, say, we would generate 1,000 samples, each of size n, from a normal distribution and calculate from each the median, mean, and midrange. L and standard deviation (1 of the population. We arrange the 1,000 sample values of each statistic in order, and that gives us a good estimate of the distribution of each statistic. We can also calculate the bias, standard deviation, and mean square error of each statistic and use them as a means of comparing the 3 estimators.
A Topical Dictionary of Statistics by Gary L. Tietjen