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1. Suppose n unrelated people are gathered together. What is the smallest n for which chances are >50% that there will be two or more people born in the same calendar month?
2. * Suppose n unrelated families, defined as the husband, the wife, and one child, are gathered together. What is the smallest n for which chances are > 50% that there will be two or more families completely matched in birthdays (i.e., the two husbands have the same birthday, so do the two wives, and so do the two children)?
Find the margin of error in estimating the population mean: confidence level = 94%; sample size=86; sample mean = 113.5; and standard deviation = 12.7.
One set represents the weight before treatment. The other set represents the weight after treatment. In a case like this use a paired-sample t-test.
a random sample of 64 students at a university showed an average age of 25 years and a sample standard deviation of 2
In an industry,200 workers,employed for a specific job,were classified according thier performance and training received/not received to test independence of specific trainig and performance.The dates is
B is independent of C or not? Focus on probabilities assigned in the subsets, 0.05 is repeated in C, but 0.10 is repeated in B, so P(A∩C)=?
Negatively correlated and that the area of the home and the selling price are positively correlated? Use the .05 significance level. Report the p- value of the test.
suppose you were given the task of estimating the proportion of drivers in troy al who text while they drive. discuss
sincere stationary corporation needs to raise 450000 to improve its manufacturing plant. it has decided to issue a 1000
The stock price on the next day can either go up by $10 with probability 40% or go down by $10 with probability 60%. What is the probability that the 2nd day's stock price is $50 given that the 1st day's price is $60?
If a Normal model is useful for describing slalom times, approximately how many of the other 35 skiers finishing the event would you expect skied the slalom faster than Jean-Baptiste?
Do these data provide suffiient evidence to establish that the site is acceptable? Use = 0:05. What are the consequences of Type I and Type II errors? Which error is more expensive to make?
Compute the probability for the given frequency distribution.
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