Answer:
A Type I error would occur if there was no evidence of an improvement on the national exam but there really was improvement.
Step-by-step explanation:
A type 1 error simply occurs when we incorrectly reject a true null hypothesis. In the scenario above, An experiment was conducted in other it know if there is sufficient evidence to support a claim that a new teaching method developed improves students score. If this claim is actually true in the real sense. However, after conducting a statistical test, we conuded that there was no sufficient evidence to support her claim of improvement using the new method, hence, the claim was rejected. By rejecting the claim, a true null has been rejected. Hence, a type 1 error has been committed.
Step-by-step explanation:
5, 5, 8, 16, 17, 18
the mode = 5
the median = (8+16)/2 = 24/2 = 12
1. 12/5
2. 24/10
3. 48/20
4. 96/40
10. 50 is roughly around ~16% of 300. (16% is 50.1)
11. 35% of 150 would be 52.5
12. 80 is 200% of 40
Answer:
plzz show me the diagram otherwise I can't help you sorry!!!!
