Example 6.42 Cacer Consider the problem of estimating the prevalence of malignant melanoma in 45- to 54-year-old women in he United States. Suppose a random sample of 5000 women is elected from this age group and 28 are found to have the disease. Suppose the prevalence of the disease in this age group is p. How can p be estimated? Example 6.45 Suppose we have n independent observa- tions x1, x2,, xn from a normal distribution with mean μ and variance o². What is the likelihood and likelihood estimator of μ and σ²?

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
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Example 6.42 Cacer Consider the problem of estimating
the prevalence of malignant melanoma in 45- to 54-year-old
women in he United States. Suppose a random sample of
5000 women is elected from this age group and 28 are found
to have the disease. Suppose the prevalence of the disease
in this age group is p. How can p be estimated?
Example 6.45 Suppose we have n independent observa-
tions x1, x2,, xn from a normal distribution with mean
μ and variance o². What is the likelihood and likelihood
estimator of μ and σ²?
Transcribed Image Text:Example 6.42 Cacer Consider the problem of estimating the prevalence of malignant melanoma in 45- to 54-year-old women in he United States. Suppose a random sample of 5000 women is elected from this age group and 28 are found to have the disease. Suppose the prevalence of the disease in this age group is p. How can p be estimated? Example 6.45 Suppose we have n independent observa- tions x1, x2,, xn from a normal distribution with mean μ and variance o². What is the likelihood and likelihood estimator of μ and σ²?
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