Download A Programmed Text in Statistics Book 4: Tests on Variance by J. Hine PDF

By J. Hine

ISBN-10: 041213750X

ISBN-13: 9780412137501

ISBN-10: 9401165092

ISBN-13: 9789401165099

Exercises for part 2 forty two actual sciences and engineering forty two forty three organic sciences forty five Social sciences options to routines, part 1 forty seven actual sciences and engineering forty seven forty nine organic sciences forty nine Social sciences recommendations to routines, part 2 fifty one fifty one actual sciences and engineering fifty five organic sciences fifty eight Social sciences sixty two Tables 2 sixty two x - checks regarding variances 2 63,64 x - one tailed exams 2 sixty five x - tailed checks F-distribution 66-69 Preface This venture began a few years in the past whilst the Nuffield beginning kindly gave a supply for writing a professional­ grammed textual content to exploit with carrier classes in information. The paintings conducted through Mrs. Joan Hine and Professor G. B. Wetherill at tub college, including another aid every now and then through colleagues at tub college and somewhere else. trying out used to be performed at numerous faculties and universities, and a few necessary reviews have been got, yet we relatively point out King Edwards tuition, tub, who supplied a few 6th formers as 'guinea pigs' for the 1st trying out, the Bishop Lonsdale university of schooling, and Bradford collage. 2 OUf goals within the textual content are to take scholars to using ordinary t, F and X assessments, with a few intro­ duction to regression, assuming no wisdom of facts to begin, and to do that in the sort of means that scholars reach some extent of realizing of the underlying reasoning. provider classes are usually whatever of an issue to statistical data departments.

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Additional info for A Programmed Text in Statistics Book 4: Tests on Variance and Regression

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Summary To calculate regression of y on x. 1. (i) (ii) Plot a scatter diagram; from this it can be ascertained whether a relationship between the two variables does in fact exist. Draw in 'rough' regression line; if the line slopes 'upwards' the calculated value of b should be positive. If the line slopes 'downwards' the calculated value of b should be negative. 2. Calculate b, y, x LXLY LXY--- where b n The regression of Y on x is then given by Y = b (x - x) + y. x y 3. e. u = x-A v = y-B. 31 The equation for b then becomes ~u~v ~uv--­ n b and 4.

This data produced a value of r equal to zero even though it is apparent that a relationship does exist between age and strength of grip. Therefore it must always be remembered that r is not an appropriate measure for non-linear relationships. It is apparent that the evaluation of r is similar to that of b in the regression equation. In fact if the regression of y on x has already been derived then it is relatively easy to calculate r as the values of ~xy, ~x, ~y and ~X2 will have been calculated and so we will merely have to calculate ~y2.

We would expect the coefficient of correlation to (vary/remain constant) as n increases. more vary 16. On the scatter diagrams we have drawn in rough regression lines. It can be seen that the slopes of the three lines (are approximately/are not) the same. Thus we would expect the coefficient of regression b to (vary/remain approximately constant) as n increases. 40 are approximately remain approximately constant 17. The following table of band r for n statements. 85 significance doubtful. significan tat 5% level.

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