In a study of intraobserver variability in the assessment of cervical smears, 3326 slides were screened for the presence or absence of abnormal squamous cells. Each slide was screened by a particular observer and then rescreened six months later by the same observer. The results of this study are shown below. First Second Screening Screening Present Absent Total Present 1739 484 2223 Absent 406 697 1103 Total 2145 1181 3326 (a) Do these data support the null hypothesis that there is no association between time of screening and diagnosis? (b) The data could also be displayed in the following manner: Abnormal Screening First Second Cells Total Present 2223 2145 4368 Absent 1103 1181 2284 Total 3326 3326 6652 Is there anything wrong with this presentation? How would you analyze these data?
In a study of intraobserver variability in the assessment of cervical smears, 3326 slides were screened for the presence or absence of abnormal squamous cells. Each slide was screened by a particular observer and then rescreened six months later by the same observer. The results of this study are shown below. First Second Screening Screening Present Absent Total Present 1739 484 2223 Absent 406 697 1103 Total 2145 1181 3326 (a) Do these data support the null hypothesis that there is no association between time of screening and diagnosis? (b) The data could also be displayed in the following manner: Abnormal Screening First Second Cells Total Present 2223 2145 4368 Absent 1103 1181 2284 Total 3326 3326 6652 Is there anything wrong with this presentation? How would you analyze these data?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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