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Explain the difference between the type of information given by the tests of statistical significance such as t and Chi Square, and information given by measures of association such as Gamma, the Coefficient of Determination (r2), Cramer's V and Pearsonâs correlation coefficient (r). What is meant by a PRE measure? Which of the measures listed above are PRE?
Can a test of significance show a statistically significant relationship while a measure of association shows a weak relationship between the variables?
If yes, present an example illustrating how such a situation might occur.
Verify the statements made in the summary of statistical findings for the Motivation and Creativity Data (Section 1.1.1) by analyzing the data on the computer.
the number of vehicles arriving at a toll booth per minute were observed as0 3 1 2 0 1 1 1 2 0 1 4 3 1 1 0 0 1 0 2 2 0
clarkson university surveyed alumni to learn more about what they think of clarkson. one part of the survey asked
How large should n be so that the standard deviation of is no more than 0.01 and sampling distribution
If the payoff of rolling two dice is the sum of the upper face of the two dice, what is the expected payoff of one roll of the two dice
specifications for an aircraft bolt require that the ultimate tensile strength be at least 18 kn. it is known that 10
1. the labor relations manager of a large corporation wished to study the absenteeism among workers at the companys
After performing a two sample t-test, you see a p-value of 0.0355. Of the following, which is the appropriate conclusion?
a debt collection company has been monitoring the amount of time its bill collectors spend on calls that produce
This problem related to Basic Statistics and it discuss about the examples of qualitative and quantitative methods of data collection
a 15 cm3 cylinder contains nitrogen at 70 atm and 20 degrees celsius. this cylinder is placed in a 10000 cm3 evactuated
To forcast the sample size within 0.02 with 90 percent confidence. The CEO of the organization needs to forcast the proportion of Canadians who own their house.
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