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Suppose that the number of babies born during an hour at a hospital's maternity wing follows a Poisson distribution with a mean of 4 per hour. Find the probability that exactly four babies are born during a randomly selected hour.
(Hint: λ = 4 in this case. Use the formula for Poisson distribution)
Solve the equations using linear algebra
how many individuals will I need to sample if I want a 95% margin of error to be no more than 3%, I want to know if the results are significant at = 10%. With the information given.
A major benefit of two-way ANOVA over several one-way ANOVAs, If an F test for interaction is significant.
Generate descriptive statistics. Create a stem-and-leaf plot of the data and box plot of the data.
Real estate agents always say "location, location, location" is the most important thing in buying a house. We want to know if the sales prices of homes in two neighborhoods are similar. A random sample is taken from each neighborhood. The prices ..
We are interested in comparing the proportions of males and females who think earning a large salary is very important to them. I surveyed 200 of each gender and recorded their answers to the question as yes or no.
In a binomial distribution n = 8 and π = 0.2. Determine the probabilities of the following events.
These can have a large impact on tenure and promotion decisions at many institutions. One particular instructor had ratings in 3 courses in one semester as given by the table below for the statement "The instructor is an excellent teacher.
At a large department store, the amount a shopper spent and the shopper's gender (male or female) were recorded. To determine if gender is useful in explaining the amount of money a shopper spends at the store we could
what percent of the total number of seeds germinated?
Suppose we wish to predict the crawling age of a particular baby when the average outdoor temperature is 25°F six months after birth.
An advantage of the permutation test over the t test for a difference in means, can Permutation tests be used for tests when we believe the two populations differ under the null hypothesis.
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