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1) An educational technology company advertises English language fluency after one year of using their online language courses. Researchers test their curriculum by randomly selecting 100 new students and following their project after one year of using the curriculum. They test the students using Cambridge English Test and assign each student a score between 1 to 25. They consider scores below 15 to indicate a lack of fluency:H0:μ=15HA:μ≥15Based on the data they conclude that the evidence is not strong enough to conclude that the students are fluent in English. What type of error is possible in this situation?
A) Type I
B) Type II
2) An educational technology company advertises English language fluency after one year of using their online language courses. Researchers test their curriculum by randomly selecting 100 new students and following their project after one year of using the curriculum. They test the students using Cambridge English Test and assign each student a score between 1 to 25. They consider scores below 15 to indicate a lack of fluency:H0:μ=15HA:μ≥15Based on the data they conclude that the evidence is strong enough to conclude that the students are fluent in English. What type of error is possible in this situation?
3) An airline regulation company wishes to reduce the risk of Type 1 Error in their study on metal fatigue which could cause structural failures and subsequent plane crashes. They conduct a study with 30 planes randomly sampled from the fleet and set the significance level to .05.What should the researchers do to reduce this risk?
A) Reduce the significance level to .001.
B) Decrease the sample size to 10.
C) Increase the significance level to .10.
D) Increase the sample size to 1000.
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