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Suppose you believe that two variables X and Y are related, but you have no idea which way the causality goes.
Does X cause Y or vice versa (or maybe even neither)?
Can you tell by regressing Y on X and then regressing X on Y? Explain.
Also, provide at least one real example where the direction of causality would be ambiguous.
Estimate the average number of defects per board, and place a bound on the error of estimation.
suppose that a 2-year old boy named cahnce sits at a computer and types exactly 6 unique alphabet keys. what is the
The number of planes arriving per day at a small private airport is a random variable having a Poisson distribution with λ = 28.8. What is the probability that the time between two such arrivals is at least 1 hour?
What are the correlations of all the explanatory variables with GPA? Explain why knowing the correlations tell us which variables will best predict GPA in a regression with just one explanatory variable. What are the two best predictor variables? ..
The table below contains the opinions of a sample of 200 people (broken down by gender) about the latest congressional plan to fund abortion clinics.
How would you define the Wilcoxon Signed Rank Test?
Find the probability of correctly answering the first 3 questions on a multiple choice test if random guesses are made and each question has 5 possible answers.
A pair of six-sided balanced dice are rolled. What are the probabilities of getting the sum of the face values as follows?
The production manager at Bellevue Steel, a manufacturer of wheelchairs, wants to perform a second analysis of the number of defective wheelchairs produced on the day shift and afternoon shift.
Which of the following would have a binomial distribution and evaluate the binomial coefficient
a. How many different 3-course meals can be ordered from this menu? (Draw a tree diagram to help visualize this sample space; or use the counting rule to find the total number of meals.)
Creating histogram to determine if the data from three 'product parameters' are normally distributed.
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