Conditions
Stating this, that that 50 Burger King customers is < 0.1 times all Burger King customers
What is the 10% condition?
Increasing the sample size does this for the power of a test
What is increase the power of a test?
This 4 step process for writing confidence intervals
What are choose-check-calculate-conclude? or What are state-plan-do-conclude?
The null hypothesis is true but we find convincing evidence for Ha
What is the interpretation of a type I error?
The probability of my error type is consistent with the area of the rejection region
What is the type I eroor?
Because you want sampling without replacement to be okay.
What s the 10% condition?
Increasing the alpha will do this to the power.
What is increase the power of the test?
We compare our p-value to this
What is the alpha? What is the significance level?
Because the p-value is bigger than the alpha, we do not have convincing evidence to reject Ho
What is the interpretation of the conclusion of siginificance test?
I can increase this in a significance test and the probability of a type 1 error goes up.
What is the alpha level? or What is the significance level?
The reason we take a random sample
What is to generalize the results to the larger population?
This complements the power
What is the probability of a type 2 error?
If we fail to reject the null hypothesis it must mean this
What is a P-value > alpha? What is we do not have convincing evidence for the alternative null hypothesis?
If Ha is true, there is this probability of finding convincing evidence to reject Ho.
What is the interpretation of power?
The test provides convincing evidence that the proportion is greater than 90%, but the actual proportion is equal to 90%.
What is a type 1 error?
The reason we use (p)(n) > 10 and (1-p)(n) > 10 in a hypothesis test
What is to check that the sampling distribution is approximately Normal? (it is the large counts condition)
Decreasing the distance between Ho and the true Ha would do this to the power.
What is decrease the power?
If we have convincing evidence we must to do this to the null hypothesis
What is reject the null hypothesis?
Assuming Ho is true there is this probability of getting a p-hat this extreme or farther purely by chance
What is the interpretation of p-value?
The producer does not find convincing evidence that more than 8% of the potatoes in the shipment have blemishes, when the true proportion is greater than 0.08
What is a type 2 error?