Elementary Practical Statistics by A. L. O'Toole

By A. L. O'Toole

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Therefore, we must in distinguish between statistical significance and practical significance small to Statistical with probcorresponds significance samples. dealing decision about ability that the result observed is due to sampling error; a the practical significance of a statistical result frequently may involve other factors as well. A statistician does not become annoyed by the fact that he cannot tell anyone the exact value of the parameter he is trying to estimate. An estimate with a pair of confidence limits not too far apart is sufficient for most statistical purposes.

Let us call this third type of teristics. " The reason why we need to understand and recognize the differences between these three types of classification of elementary units is that a method of analysis and interpretation appropriate for data based on one type of classification may not be appropriate for data based on statistical another type of classification. 1 taking a method of analysis method of analysis which two or more methods are applicable. Truly nonquantitative classification. We might classify each individual in a sample of students as male or female.

Time is a continuous variable. is a continuous The speed of an automobile Although theoretically a continuous variable can have any value whatsoever in the range, observed values of the variable are more or less accurate be approximations of the true values. For example, a person's height can measurea in recorded of error amount The measured only approximately. of a person's height depends upon the precision of the measuring instrument and upon the carefulness of the person who makes the measure- ment ment.

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