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Yates correction

Nominal X2 with Yates correction McNemar s test x2 —... [Pg.216]

P.S. with Yates corrections No difference between saline and control groups. [Pg.212]

The primary statistical tests used in the studies described in this text are based on the chi-square tests which are in turn derived from the chi-square distribution which is based on the chi distribution. These tests include the chi-square test for goodness of fit, the chi-square test of independence, and Fisher s Exact Test. There are also corrections to some of the tests that account for small number deviations, Yates Correction for Continuity, and for multiple studies attempting to verify the same procedures or processes, Bonferroni s correction. [Pg.151]

Due to the fact that the chi-square distribution is only an approximation to the Y2 distribution, a correction factor is sometimes applied. Some of the disagreement with the chi-square distribution is due to the fact that the Y2 distribution is a discrete distribution while the chi-square distribution is a continuous distribution. The difference is greatest when the degree of freedom is only 1 and the values in some of the cells in the contingency table are small. The approximation commonly made when the degree of freedom is one of the Yates Correction for Continuity (also known as Yates correction, Yates adjustment, or chi-squared correction) where the squared term in the Y1 equations is replaced by ( x- -0.5) therefore, the equation for Y2 becomes ... [Pg.157]

The most commonly advocated solution to this problem is the introduction of the Yates correction. However, the use of this correction is somewhat problematic as it is rather drastic and tends to overshoot, sometimes converting a liberal situation (too willing to declare significance) into a conservative one (too reluctant). We need a policy that never produces a markedly misleading result and is not so complex or obscure as to arouse suspicions that some sort of statistical fiddle is afoot. A simple and commonly used rule is that we should apply Yates correction only where there are just two categories. With more than two categories, the effect of discontinuity is so small, we are better off not trying to compensate for it. [Pg.205]

As our problem with the canisters does have just two categories, the Yates correction should be added. The re-worked calculation, including the correction is shown in Table 15.4. The correction requires adjusting the discrepancies between the observed and expected frequencies by 0.5. The correction is applied so as to move the value towards zero. So a negative figure such as —24.86 is adjusted upwards to —24.36 whereas +24.86 moves down to +24.36. [Pg.205]

Table 15.4 Calculation of the goodness-of-fit chi-square test with Yates correction... Table 15.4 Calculation of the goodness-of-fit chi-square test with Yates correction...
There appears to be some preference for leaflet B, but we need a formal statistical test to see if the trend is significant. Our null hypothesis is that all leaflets are equally likely to be selected and so our expected outcome is that each leaflet will be selected by90/3 = 30 patients. We then calculate y2 in the usual way (Table 15.6). Notice that Yates correction has not been applied as there are more than two categories. According to Table 15.3 (three categories), y2 would need to achieve a value of at... [Pg.206]

The previous chapter mentioned the continuity problem and introduced the Yates correction. Opinions are divided on the application of this correction to the contingency chi-square test. Some statistical packages offer both a corrected and an uncorrected result, others just the uncorrected. A commonly used stratagem is to quote the corrected result where the table contains only two columns and two rows,... [Pg.212]

For two-way and multi-way tables—Pearson s r, Pearson s x-square, likelihood-ratio x-square, Yates corrected X Square, Spearman s rho, contingency coefficient, Goodman s and Kruskal s tau, eta coefficient, Cohen s kappa, relative risk estimate... [Pg.61]

Variants to the Chi-Squared Test have been proposed for small sample sizes. Two of the most prominent are the Yates correction and Fisher s Test. In Fisher s Test an exact p-value is calculated based on the assumption that the row and column totals are fixed. While the Fisher Test is exact and so is suitable for small sample sizes it has been criticised for being overly conservative (Liddell 1976). This conservatism stems from the discrete nature of the test statistic and the assumption of fixed marginals. Several other variants have been proposed in the literature but many of these rely on intensive numerical methods and are therefore, for practitioners wishing to test for differences quickly and simply, not always suitable or appropriate. [Pg.1896]

Each ceU contains a count of answers that fit that category. If the question is valid, the excellent sites should have a higher proportion of favorable answers. This was tested using a Yates-corrected chi-square statistic... [Pg.142]

Significance in difference from the saline-treated control analysis with Yates correction). [Pg.257]

O Connor and Cox and Yates have reviewed the many acidity function scales. A major use of acidity functions is for the measurement of the strengths of very weak bases. The procedure utilizes spectrophotometric measurements of the concentration ratio Cb/cbh+ in solutions of known acidity function and application of Eq. (8-89). One problem is the estimation of the spectra of the pure forms (protonated and unprotonated) of the base, for the spectra are subject to the medium effect, and corrections must be applied. Another problem is that the base... [Pg.448]

Pickard, Lewcock and Yates have prepared fenchyl alcohol by the reduction of laevo-rotatory. On conversion into its hydrogen phthalate and fractionally crystallising the magnesium and cinchonine salts, they obtained a fraction, which on saponification yielded Za w-fenchyl alcohol, having a specific rotation of - 15 5°, which is probably the correct value for this figure. [Pg.140]

Recently, Yates and Rowe (YIO) have observed, on the basis of their model for catalyst distribution in the freeboard region, that this region can usually exert a considerable influence on the course of the reaction. Their observation is essentially parallel with the concept of the successive contact mechanism. However, they use the bubbling bed model in calculating the reaction in the dense phase, so that the effect of directly contacting catalyst seems to be corrected two times, first partially in the dense phase and then in the freeboard region (see Section VII,A,3). [Pg.396]

Professor K. Yates generously made his important review on activity coefficients available to us long before its publication. Professor Robert Taft supplied valuable gas phase data. We also appreciate Professor G. Modena s many helpful suggestions and Dr. B. Chawla s and Dr. M. Stewart s care with proof corrections. [Pg.147]

The stracture of haplophytine was established 21 years after its first isolation and original formula assignment. The correct molecular stracture was determined by high-resolution mass spectrometry, while the full structure was realized by extensive chemical degradation, spectroscopy, and X-ray crystallographic smdies from the groups of Cava, Yates, and Zacharias [76, 77]. [Pg.459]

This question may be answered in two manners, as represented by communications to the Ralph K. Her Memorial Symposium. On the one hand, Yates proposes a thermodynamic approach to replace the failing DLVO theory. This approach can explain several experimental facts, but suffers from poor generality. According to Healy, on the other hand, the DLVO theory should give a coherent description of the hydrosol behavior on the condition that all the forces that play a role in the interaction are introduced in the model. This correction leads to a good description of the observed properties and to a better description of the interface structure. [Pg.243]

Kinetic studies of ester hydrolysis in strongly acidic solutions were carried out by Yates (110). A modified Bunnett equation (eq. 81) was used with r replacing w, and m with a value of 0.62 to correct the Ho scale for ester protonation. The rate dependence of various acetate esters on sulfuric acid concentration was found to fit into four basic classes. Type I is characterized by an initial steady rate increase with acid concentration passing through a maximum, followed by a decrease, then a modest increase (Fig. 7). This behavior is typical of primary alkyl acetates. Type II behavior is very similar, except that the rate maximum is observed at much lower obs values, and the final rate increase is much sharper and starts at much lower H2SO4 concentrations. This is characteristic of secondary alkyl, benzyl, and allyl acetates. Type III shows a steady rate increase with increasing... [Pg.40]

The interference of single and double scattering (see Figure 8) may, however, be of importance in some polyatomic molecules. In recent papers the asymmetry of the double peaks has been reproduced theoretically by including this effect. Various approaches have been chosen. Bonham and co-workers base the discussion on the Bom series, Bartell and Wong use a partial wave expansion modified to handle systems without spherical symmetry, and Yates uses the theory developed in ref. 386. It is found that the correction function consists of a cosine and a sine term. The difference... [Pg.25]


See other pages where Yates correction is mentioned: [Pg.157]    [Pg.206]    [Pg.206]    [Pg.208]    [Pg.210]    [Pg.211]    [Pg.418]    [Pg.258]    [Pg.157]    [Pg.206]    [Pg.206]    [Pg.208]    [Pg.210]    [Pg.211]    [Pg.418]    [Pg.258]    [Pg.8]    [Pg.449]    [Pg.307]    [Pg.301]    [Pg.159]    [Pg.486]    [Pg.422]    [Pg.106]    [Pg.224]    [Pg.181]    [Pg.63]    [Pg.356]    [Pg.143]   


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