Imagine that a researcher wants to test the hypothesis that the mean family income in San Francisco is greater than $100,000/year. The researcher randomly samples 10 families from San Francisco and records the annual income of each family. The mean of this sample is $105,000. The researcher then performs a one-sample t test to compare this with $100,000. In this statistical analysis, which of the following statements are true? a. the null hypothesis is that the population mean is $100,000
b. the population is the set of all families in San Francisco
c. if the p value from this analysis is less than .05, the researcher will have strong evidence that the mean family income in San Francisco is greater than $100,000/year

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ty sm

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answer; management is about coping complexity and leadership is about coping with change; i believe this is correct; ///good luck                                          

(b) management: leadership

d. automatic stabilizers.

explanation:

being born in poverty would limit the people's chances, opportunities and benefits.

this happen because of several things, such as:

- poor people tend to gain less access to good education and nutrition. this mean that their chance to obtain high paying jobs would also be limited.

- poor people tend to socialize with other poor people while the rich tend to socialize with other rich people. this means that simply throguh their social circle, rich people would have more business opportunities compared to the poor people.

- rich people tend to have more capital in their disposal. this would benefit them in business since it is far easier for them to fund their business operation compared to poor people.