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There is a famous saying in statistics that "Correlation does not imply causation". Please address the following questions:
1) In your own words, what does this statement mean?
2) In statistics there are what are called 'spurious' correlations and 'lurking variables'. What do these terms mean? Does a spurious correlation necessarily have a lurking variable or could it just be a coincidence?
3) Finally, go to any website and find a spurious correlation. Do not choose one that another student has chosen. The spurious correlation can be implied or explicitedly stated by the authors. What are the variables being correlated? Why is the correlation spurious? Are there any lurking variables that could otherwise explain the correlation or is it simply a coincidence?
a box contains three white and three black balls. a randomly selected ball is removed from the box. if the selected
You just saw an ad on television that states the majority of the population would vote to make smoking illegal. The poll that is referenced shows 53% of those asked supported making smoking illegal.
The hypothesis is to be tested at the 5% level of significance. The critical value from the table equals:
What is the relationship between the value for degrees of freedom and the shape of the t distribution? What happens to the critical value of t for a particular alpha level of df increases in value?
The true sampling error is usually not known because
Her results (in hours until turning a particular shade of brown) are in the table below. At ∞= .01, did she see a difference between the two treatments?
a sample of 35 different hr departments found that employees worked an average of 240.6 days a year. if the
Suppose that one was unsure about the 0.1 probability given above and want to estimate the probability of making an A. If a random sample of 30 students resulted in six who made A, what would you estimate the probability of making an A to be?
Suppose that X1, X2, . . . are independent, identically Linnik(α)-distributed random variables, that N ∈ Fs(p), and that N and X1, X2, . . . are independent. Show that p1/α(X1 + X2 + · · · + XN ) is, again, Linnik(α)- distributed.
A random sample of 20 single men was asked if they would welcome a woman taking the initiative in asking for a date. What is the probability that:
The heights of 20- to 29-year-old females are known to have a population standard deviation 1) = 2.7 inches. A simple random sample of n = 15 females 20 to 29 years old results in the following data
Select a topic of interest to you, and choose three or four keywords. Conduct a database search and select four or five of the hits. Write a brief collated summary of what you have discovered about the topic.
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