(d) FindðAjBÞ (e) Find PðB j AÞ (f) Find the sensitivity of using self-reported breast cancer as a predictor of actual breast cancer in the California registry.
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For a variety of reasons, self-reported disease outcomes are frequently used without verification in epidemiologic research. In a study by Parikh-Patel et al. (A-12), researchers looked at the relationship between self-reported cancer cases and actual cases. They used the self-reported cancer data from a California Teachers Study and validated the cancer cases by using the California Cancer Registry data. The following table reports their findings for breast cancer:
Cancer Reported (A) Yes
No
Total
Cancer in Registry (B) 2991
112 3103
Cancer Not in Registry
2244 115849
118093
Total
5235 115961
121196
10.
11.
Source: Arti Parikh-Patel, Mark Allen, William E. Wright, and the California Teachers Study Steering Committee, “Validation of Self-reported Cancers in the California Teachers Study,” American Journal of Epidemiology, 157 (2003), 539–545.
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(d) FindðAjBÞ
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(e) Find PðB j AÞ
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(f) Find the sensitivity of using self-reported breast cancer as a predictor of actual breast cancer in
the California registry.
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- Below are several research scenarios. Indicate which set of statistical analyses (e.g., ANOVA, independent samples t test, correlated samples t test, correlation, chi-square, regression) should be used to analyze the data collected in study, and explain why that statistical test should be used. (a) Teachers at a local middle school were interested in exploring the effects of a collaborative peer tutor teaching program on the motivation levels seventh-grade students. Four of eight classes of seventh grade students were randomly selected at Bulloch Middle School to serve as subjects in this study. Students within each class were then randomly assigned to one of three groups: a collaborative peer tutor teaching program, group learning activities, or individual learning activities. Each class was taught by a different teacher. The Middleman motivation scale was used to measure motivation in the subjects, and this scale produces scores that range from 1 to 25 with higher scores indicating…Because statistical software plays such an important role in modern statistical applications, many studies have encouraged the use of technology in statistics courses. The Guidelines for the Assessment and Instruction in Statistics Education (GAISE) (Aliaga et al., 2005) project was funded by the American Statistical Association to examine needs for college level statistics courses. One of the six recommendations from GAISE is the use of technology for developing conceptual understanding and analyzing data. A survey was sent to students at 100 different universities across the United States to access the relationship between ease of learning the statistical software program SAS and a student's currently level of SAS proficiency. The results of the survey are published in Jackson et al., 2011, in the International Mathematical Forum journal and are shown below. Table 1.Two-way table for ease of learning SAS and SAS proficiency level. Proficiency Not Somewhat Very proficient Total…A sports psychologist studied the effect of a motivational program on number of injuries in one year among players of three different sports (baseball, football, and basketball). Players were randomly assigned to one of two conditions: either participate in a motivational program or none (control). Data was collected on the number of injuries sustained by each athlete that season. Question: If p = .024 for the main effect of sports, what should the researcher conclude?
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