Identify which of the situations below is a type I error and which is a type II error: 80% of doctors believe that chefs are the cure to the pandemic, but when you run a hypothesis test, your sample only had 61% of doctors believing this. So you rejected this null hypothesis of 80% even though it's actually true. You believe that if you get lost in a desert, there is only a 3.14% chance of survival. You take a sample and find that 2.98% of your sample survived when lost in the dessert, and so you didn't reject your null hypothesis. However, in reality, there is a 40% chance of survival.
Identify which of the situations below is a type I error and which is a type II error: 80% of doctors believe that chefs are the cure to the pandemic, but when you run a hypothesis test, your sample only had 61% of doctors believing this. So you rejected this null hypothesis of 80% even though it's actually true. You believe that if you get lost in a desert, there is only a 3.14% chance of survival. You take a sample and find that 2.98% of your sample survived when lost in the dessert, and so you didn't reject your null hypothesis. However, in reality, there is a 40% chance of survival.
Chapter9: Sequences, Probability And Counting Theory
Section9.7: Probability
Problem 1SE: What term is used to express the likelihood of an event occurring? Are there restrictions on its...
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- Identify which of the situations below is a type I error and which is a type II error:
- 80% of doctors believe that chefs are the cure to the pandemic, but when you run a hypothesis test, your sample only had 61% of doctors believing this. So you rejected this null hypothesis of 80% even though it's actually true.
- You believe that if you get lost in a desert, there is only a 3.14% chance of survival. You take a sample and find that 2.98% of your sample survived when lost in the dessert, and so you didn't reject your null hypothesis. However, in reality, there is a 40% chance of survival.
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