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One percent of women at age forty who participate in routine screening have breast cancer (prevalence). Eighty percent of women with breast cancer will get positive mammographies (sensitivity). Finally, 9.6% of women without breast cancer will also get positive mammographies (false positives).
(a) In a population of 100,000 women aged forty, how many would be expected to get positive mammographies?
(b) A woman in this age group had a positive mammography in a routine screening. What is the probability that she actually has breast cancer?
a commuter must pass through five traffic lights on her way to work and will have to stop at each one that is red. she
q1.what are the four essential requirements of a distance measure as might be used in cluster analysis multidimensional
a. What is the probability that a randomly selected juror has an IQ score below 120?
A researcher is interested in the relationship between caffeine consumption and activity level for elementary school children. A sample of 20 children is obtained and the children are separated into two roughly equivalent groups.
give an example of global sustainability that demonstrates your understanding of the
Hypertensive experimental (n=100) is 14%, placebo (n=100) is 22%. Generate a 95% Confidence interval for difference in proportions of patients with hypertension between groups.
We then counted the number of statements in the summary that can be classed as inferences. Assume inferences are interval measurement.
Suppose that 51% of the women who gave birth at a certain hospital last year were over 30 years old, and that 39% were unmarried.
Is the annual average wage of unmarried people (18 - 30) the same as that of married people (31 - 43)?
What are three lessons you learned relative to ANOVA and nonparametric tests? As a result of using this simulation, what concepts and analytic tools will you be able to use in your workplace (i.e., how do you expect to apply what you learned)?
peas are generated from parents having the greenyellow pair of genes so there is a .75 probability that an individual
Given that consumer changed te brands, what is the probability that consumer purchased fewer products than before?
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