Describe the difference between a Type I error and a Type II error. With which type are political scientists most concerned?
What will be an ideal response?
A Type I error is a false positive finding. It erroneously concludes that a random difference is not random. A Type II error is a false negative finding. It erroneously concludes that there is a random difference, when there really is not. Political scientists are more concerned with Type I errors and therefore set a threshold of 0.05 to say a difference is statistically significant (5 percent chance that we are making a Type I error).
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Three-fifths of the slaves were counted for purposes of
A. electing state legislatures. B. apportioning delegates to presidential conventions. C. allotting seats in the House of Representatives. D. assigning delegates to state conventions. E. allotting seats in the Senate.
What is political polarization? Has American politics become more polarized? If so, what are the consequences of this?
What will be an ideal response?
Which of the following statements about candidates is accurate?
a. Every member of the House of Representatives faces a qualified individual because many Americans feel the pull of public service. b. The quality of House and Senate candidates varies with their prospects for success. c. The pool of presidential candidates is rarely affected by expectations. d. Since raising money is a major challenge, senators rarely face qualified candidates.
What is the absolute foundation of accountability?
a. the desire to seek answers b. the pursuit of rewards c. voluntary compliance d. deliberate discretion