Define methemoglobinemia and describe the causality of the condition. In the following set of words, explain the differences by contrasting the meaning of each word: para-pathy ___ Discuss the terms "hypothesis," "theory," and "law." These three terms mean different things; make...
Discuss why correlation does NOT necessarily mean causation. Give at least one example that is different than the other students in this discussion board. Two variables, X and Y, have a significant linear correlation. Under what conditions can the direction of causality be determined just from kno...
What is meant by estimates of causality? Describe the situation of the existence of an equilibrium condition in Markov analysis. What is the random variable to use as a measure of the effective of the programs? Consider the Markov chain that has the following onestep transition matrix a Determ...
Briefly describe what quantitative and qualitative data are in regard to budgeting? Define or describe the following: Arbitrage Pricing Theory (APT). What is meant by the statement that correlation does not imply causality? What are some of the...
What is meant by estimates of causality? What do two numbers in parentheses mean in Statistics? What is a statistical notation? Describe the meaning of the number that the following R command produces. pexp(1,2m rate = 3) Explain in your own words how to determine if a process is not ...
Answer to: Define extraneous variable and confounding variable. Describe two methods used to prevent extraneous variables from becoming confounding...
b. Describe two ways the Granger Causality Test can help in the construction of a correctly specified econometr What is a biased estimator? Draw an example of a sampling distribution of a biased estimator. What is the assumption that allows a diff-in-diff estimator to be unbiased? Be ...
What is positive correlation in statistics? Two variables, X and Y, have a significant linear correlation. Under what conditions can the direction of causality be determined just from knowing the correlation coefficient? A. when the correlation is negative B. when the correlation is p...