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Give an example of two variables that probably have a significant linear correlation coefficient, but one variable does not necessarily cause the other. For example, a sample of men's heights and incomes may likely have a significant positive correlation, especially if the sample contains professional athletes, but being taller does not guarantee you a higher salary.
A deck of cards is shuffled and then divided into two piles of 26 cards each. We say that a suit is unsplit if all 13 cards of that suit are in the same pile. Compute the probability that at least one suit will be unsplit.
A human factors psychologist studied three computer keyboard designs.
The heights of young women are approximately normal with mean 65 inches and standard deviation 2.5 inches.
what is the sample space of all possible outcomes? Are the outcomes equally likely?
Perform Repeated Measures ANOVA also calculate PRE. An educational study uses a simple pre-post design to assess the value of a computer tutor for solving inequalities.
Robert Smith of the "Merrill Lynch Pierce Fenner & Smith" families is engaged in full-time fundraising. He has been quite successful at this because he brings a very structured approach to the process:
Computing the Z scores for the given data and evaluate µ and σ for the population.
The study does provide sufficient evidence to support the claim that less than 75% of college student spend less than $250 per semester on textbooks.
Find out optimal assignment and calculate total minimum cost.
If you had a research problem appropriate for ANOVA and it was based on the results from three samples, what would be the null hypothesis?
a) Draw the scatter diagram. Does it appear that x and y are related? If so, how? b) Test to determine whether there is evidence of a linear relationship.
Must you assume that the population amount of paint per can is normally distributed here? Explain
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