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Question: 1. Use the m-procedure bincomp with various values of n from 10 to 500 and p from 0.01 to 0.7, to observe the approximation of the binomial distribution by the Poisson.
2. Use the m-procedure poissapp to compare the Poisson and gaussian distributions. Use various values of μ from 10 to 500.
Consider a hypothesis test of differences of means for two independent proportions x1 and x2. Suppose that both sample sizes are greater than 30 and that you knowσ1 andσ2. Is it standard practice to use the normal distribution or a Student's t dis..
To prepare a report on the economy, analysts need to estimate the percentage of businesses that plan to hire additional employees in next 60 days.
Use normal approximation to the binomial distribution to determine the answer if this probability cannot be determined explain why.
What is the probability of rolling a four in the gambling dice game of craps (given two six sided dice)? What is the probability that a player can roll a four 3 times in a row (assume that rolling the dice each time does not affect the outcome of..
Freda is a head physiotherapist in a large, regional medical center. Each day she struggles to keep up with her increasing patient load, leaving her stressed and exhausted.
Assume the arrival of these emails is approximated by the Poisson distribution.
Below are fertility rates (average children born per woman) in 15 EU nations for 2 years. (a) Make a scatter plot. (b) Find the correlation coefficient and interpret it.
describe the direction of the relationship between the hamstring strength index 60degs and the shuttle run test.
You decide to predict gasoline prices in different cities and towns in the U.S. for your term project. Your dependent variable is price of gasoline per gallon and your explanatory variables are per capita income
a poll of 1200 randomly selected community college students in the u.s. was conducted and found that 58 favor
Find the variance for the given data. Round your answer to one more decimal place than the original data.
What is the standard deviation for the sample proportion? What is the probablily that in this group over 18% of the new cars will be found to have electrical problems?
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