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An appropriate null hypothesis is:; p2011; p2010; p2011; p2010; μ2011; μ2010; p2011; p2010

a) p2011 = p2010
b) p2011 ≠ p2010
c) μ2011 = μ2010
d) μ2011 ≠ μ2010

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Final answer:

The appropriate null hypothesis would state that there is no difference between the two populations, either as proportions or means. Therefore, the correct options would be 'p2011 = p2010' if comparing proportions or 'μ2011 = μ2010' if comparing means, since these null hypotheses suggest no change or difference across time.

Step-by-step explanation:

An appropriate null hypothesis generally posits that there is no effect or no difference and is used as a starting point for statistical testing. In the context where you are comparing two population proportions (p2011 and p2010) or two population means (μ2011 and μ2010), we want to construct a null hypothesis that reflects no change or difference between the two populations across time. The null hypothesis for comparing two population proportions would typically be stated as 'p2011 = p2010' which means there is no difference in the proportions from 2010 to 2011. Similarly, the null hypothesis for comparing two population means would be stated as 'μ2011 = μ2010' indicating that there is no difference in the means from 2010 to 2011. Therefore, the correct options for an appropriate null hypothesis are either a) 'p2011 = p2010' if p denotes proportion or c) 'μ2011 = μ2010' if μ denotes mean of the populations being compared. Option b) and d) would represent the alternative hypotheses, which are statements that there is a significant difference between the two proportions or means, respectively.

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