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A company is trying to determine whether or not to advertise on Twitter based on the average time a user spends on Twitter per month.
1. A company is trying to determine whether or not to advertise on Twitter based on the average time a user spends on Twitter per month. If the average time is over 100 minutes they plan to purchase $1 million extra on Twitter advertising.
A. Write out the null and alternative hypotheses of this test using the appropriate symbols. For a review of using the equation editor in Word, see https://onlinecourses.science.psu.edu/statprogram/equations
B. In terms of this scenario, describe what a Type I error would look like. (Be sure to apply this exact scenario to your wording!)
C. In terms of this scenario, describe what a Type II error would look like. (Be sure to apply this exact scenario to your wording!)
D. In your opinion, which error do you think is worse in this scenario and why?
