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Correlation: Correlation does not mean causation
One of the major misconceptions about correlation is that a relationship between two variables means causation; that is, one variable causes changes in the other variable. There is a particular tendency to make this causal error, when the two variables seem to be related to each other.
What is on instance where you have seen correlation misinterpreted as causation? Please describe.
A manufacturer of automobile transmissions uses three different processes. The management ordered a study of the production costs to see if there is a difference among the three processes. A summary of the findings is shown below.
For binomial probability distributions, is there a fast way to find the probability of x being in a range? ex., if i do 30 trials
Mug Co is a new company, which manufactures personalized imprinted mugs. Rental costs of its equipment and its local cost totaled $1800.
Given a one-argument procedure p and an object a, p is said to ``halt'' on a if evaluating the expression (p a) returns a value (as opposed to terminating with an error message or running forever).
Explain the difference between the information given by the tests of statistical significance t and Chi Square, and measures of association Cramer's V, Gamma and Pearson's correlation coefficient, r.
how do you think researchers utilize test to show significance in research? for example f the independent test yield
a buyer for msg must buy enough chicken tenders to supply all the concession stands around the arena during playoff
in a sample of 108 toddlers the average height was found to be 36.5 inches with a standard deviation of 1.1give a point
Draw the phase portrait associated with x'' - 2x' + 2x = 0 and draw a rough sketch of the solution x(t) that satisfies x(0) = 1 and x'(0) = 0.
find that probability that 10 or more of the 30 individuals entering the store in a given hour will decide to make a purchase.
By contrast, the large retail grocery chains (Kroger, Safeway, etc.) that sell cereal make much smaller margins. What would explain this divergence in margins?
A pair of dice is tossed and the number of dots on the uppermost faces are observed. Let X denote the random variable defined as the larger of the two numbers.
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