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The problem Find the posterior PV |A= if PV (a tree graphical model) is a the prior knowledge and evidence A = a is observed. If PV is a tree before observing the evidence, then we would like PV PV |A= a to be also represented as a tree. Is this always possible?
Suppose a new weight loss program was sponsored by the local health and fitness club in a small town. The program claims to make people lose more than five pounds in a month. Twelve participants were selected and their weights were recorded.
To test H0: against the alternative H1: in Q 1.5 above, the degrees of freedom of a suitable t-statistic is: In a study of the effect of oral contraceptives (OCs) on blood pressure, measurements were made on 10 OC users (x) and 14 non-users (y).
Find the critical value to test the claim that all ages have crash rates proportional to their driving rates. That all ages have crash rates proportional to their driving rates.
At least half the patients are under 15 years old? First, explain how this can be modeled as a binomial distribution with 8 trials, where success is visitor age is under 15 years old and the probability of success is 20%.
We are doing a team project for our statistics class and our project is about "Math Anxiety". We are stuck on one question and the questions is "the teams will state the null and alternative hypotheses
Management of a company is considering adopting a bonus system to increases production. One suggestion is to pay a bonus on the highest 5 percent of production based on past experience.
Is there sufficient evidence at the 0.05 level of significance to conclude that the proportion of women physicians at the university health system exceeds 27.9%?
A business owner decides to use a binomial distribution to solve one of his problems. He knows there is a 60 percent probability that he will sell one of his Red Oak floors to any customer who comes into his shop and views the wood.
Prove that each of the following sets is countable: The set of all numbers with two distinct decimal expansions (like 0.500... and 0.4999...);
If there are no other cars coming and there are n bays, k cars waiting ahead of you, what is the probability you will be the last person to finish washing your car?
If the correlation coefficient expresses the degree of a linear relationship, why is it appropriate to use the same formula with nonlinear relationships?
What are the pros and cons of selecting an established theoretical or conceptual model or framework? What are the pros and cons of creating/developing your own?
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