Why would one want to use a trimmed mean instead of a mean? In your answer please provide a numerical example that demonstrates the advantage.
What will be an ideal response?
Example and answer will vary. The heart of the answer is that because the mean is susceptible or sensitive to a few very large or small values—in statistical argot, it is “not resistant to outliers”—analysts sometimes modify its calculation by dropping or excluding some percentage of the largest and smallest values. The result is called the trimmed mean. This tactic automatically removes the influence of the discrepant values. The example should demonstrate this.
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Which of the following statements is true regarding the "suspect classification" doctrine?
a. Government cannot make distinctions based on race or citizenship under any circumstance because they are considered suspect classifications. b. The Supreme Court has held that race is a suspect classification but age and gender are not. c. The government can make distinctions based on suspect classifications only if it can demonstrate "compelling interest" for such actions. d. The 1964 Civil Rights Act invalidated the suspect classifications doctrine. e. The Voting Rights Act invalidated the suspect classifications doctrine.
Being landlocked is a geopolitical concern of states
Indicate whether the statement is true or false.