The prevalence of osteoarthritis in the elderly among high-risk populations is approximately 6.3%. Suppose that a mobile health clinic is used to identify subjects with this condition for a clinical study with an alternative treatment. If 500 people from this population are evaluated in the clinic in a single day, what is the probability of identifying 20 CASES OR LESS of osteoarthritis? A. 0.8708 B. 0.9861 C. 0.0212 D. 31.5 E. 29.5

Physicians at a clinic gave what they thought were drugs to 860860 asthma, ulcer, and herpes patients. Although the doctors later learned that the drugs were really placebos, 5050 % of the patients reported an improved condition. Assume that if the placebo is ineffective, the probability of a patients condition improving is 0.470.47. For the hypotheses that the proportion of improving is 0.470.47 against that it is >0.47>0.47, find the p-value. p=p=

In a genetics experiment on​ peas, one sample of offspring contained 436 green peas and 373 yellow peas. Based on those​ results, estimate the probability of getting an offspring pea that is green. Is the result reasonably close to the value of 3/4 that was​ expected?

The president of Doerman Distributors, Inc. believes that 30% of the firm's orders come from first-time customers.  A random sample of 100 orders will be used to estimate the proportion of first-time customers.  What is the probability that the sample proportion will be within .05?

In a small town in New York, we initiated a cohort study and followed 5,900 people for a mean follow-up of 2 years. At the end of the 2nd year, none of the participants was lost to follow-up. During this follow-up, we identified 600 cases of Covid-19. What was the cumulative incidence? O 10 cases O 10.1% O 50.8% O 10.1 per 1,000

In a genetics experiment on​ peas, one sample of offspring contained 433 green peas and 121 yellow peas. Based on those​ results, estimate the probability of getting an offspring pea that is green. Is the result reasonably close to the value of 3/4 that was​ expected?

In Bayesian statistics, a 90% credible interval (or Bayes interval) covers the true parameter with (subjective) probability 90%. True False

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Assume that a student alarm clock has a 6.6 % daily  failure rate. What is the probability that the students alarm clock ill not work on the day of an important final exam?

Physicians at a clinic gave what they thought were drugs to 890890 asthma, ulcer, and herpes patients. Although the doctors later learned that the drugs were really placebos, 5555 % of the patients reported an improved condition. Assume that if the placebo is ineffective, the probability of a patients condition improving is 0.530.53. For the hypotheses that the proportion of improving is 0.530.53 against that it is >0.53>0.53, find the p-value. ?=p=