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Additional info for A closer look at the distribution of number needed to treat (NNT) a Bayesian approach (2003)(en)(6s)
And ordinal « , » scales, and in addition have uniform and standard reference units. Such units eliminate subjectivity in quantitative measurements, producing scales with constant and equal intervals. With such interval scales it is possible to determine exact distances between two things with regard to the characteristic being measured, by addition or subtraction between the scale values (+ , - ). Interval scales always produce quantitative measurement variables that are isomorphic with the observable variable being measured, with the exception that interval scales have arbitrary and not absolute zero points.
11627, Ans. (a) 2. 1627 104 Perfonn the following: (a) (3 73) (2 r 2), (b) 36 1010--31 . Ans. (a) 42, (b) 0. 0 2 Perfonn the following: (a) (3 5)3 , (b) (3 5)- 2 . Ans. (a) 3,375, (b) 0. 71 as x Ans. 75 11,627 . x X x 94/3 , (b) ,j9i. 001 -3, what is c? Ans. l7609 is the common logarithm of a number a (to five decimal places), what is its antilogarithm? Ans. 89712 is the natural logarithm of a number b (to five decimal places), what is its antilogarithm? Ans. 15 What are the common logarithms of: (a) "75 ' (b) Ans.
The measurements on a discrete measurement variable must be one of a fixed set of values, without the possibility of intermediate values. Counting is ratio-level measurement, because it has all the properties of nominal ( = , =1= ), ordinal « , » , and interval (+ , - ) measurement, a scale unit (the number one), and an absolute zero. , height of students in centimeters). 3 The objects in Fig. 2-1 can be · measured on each of the four levels of measurement. Give a measurement scale that could be used on these objects for each of the following types of measurement: (a) nominal, (b) ordinal, (c) interval, (d) continuous ratio, and (e) discrete ratio.