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A hockey club has 7 forwards, 5 defensemen, and 3 goalies. Each can play only in his designated subgroup. A coach chooses a team of 3 forwards, 2 defense, and 1 goalie.
a) How many different hockey teams can the coach assemble if position within the subgroup is not considered?
b) Players A, B and C prefer to play left forward, center, and right defense, respectively. What is the probability that these three players will play on the same team in their preferred positions if the coach assembles the team at random?
Find the value of k that makes f(x; y) a valid probability distribution.
1. a medical researcher contends that lung capacity varies significantly between smokers and nonsmokers. the mean
Assume you have the following data: H1: µ ? 200, S =30, n = 64, and X =218. Conduct a two tailed hypothesis test at the 0.05 significance level.
A biologist studying wolves wants to find a correlation between the lifespan of wolves and the geographic latitude of their habitats. How many variables are involved in such an analysis?
If you randomly select ten m&m's, what is the probability that exactly three of them are green?
waiting times to receive food after placing an order at the local subway sandwich shop follow an exponential
Draw a histogram of EMXP. Does EMXP have an approximately normal distribution? Does it have an obvious skew (left or right) and any obvious outliers? If an analysis requires that EMXP have a normal distribution, do you think that your results will..
Garbage quantity is approximately normally distributed. Find the probability that the mean from a sample of 30 families will have between 17 and 18 pounds of garbage.
We code middle-aged Americans as 1 and senior citizens as 0, the logistic regression model for senior citizens
This requires you evaluate the data (on the next sheet) and apply Queueing Theory to determine the characteristics of the queues. Please refer to the concept on Queuing Theory for the procedures to do.
The use of the ratio li /tr(XTX) as the proportion of total variance accounted for by the ith sample PC has the defect that it lies in the half-closed interval 1≥li ≥0. Show that the statistic
What does this theorem allow you to do that traditional statistics do not? What are some prerequisites for using Bayesian statistics?
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