Statistical Significance

if the null is rejected when it is actually true

• Level of Significance

• Type 1 Error

• Type 2 Error

• p value

assumes the null is true and is the probability of getting a sample statistic this extreme

• Level of Significance

• Type 1 Error

• Type 2 Error

• p value

separates the rejection region from the non-rejection region

• rejection region

• acceptance region

• critical value

• test statistic

if the null is not rejected when it is actually false

• Level of Significance

• Type 1 Error

• Type 2 Error

• p value

What is the equation for?

• Large Samples

• Small Samples

• Medium Samples

• Proportion Samples

Suppose the P-value for a hypothesis test is 0.0304. Using a = 0.05, what is the appropriate conclusion?

• a) Reject the null hypothesis

• b) Reject the alternative hypothesis

• c) Fail to reject the null hypothesis

• d) Fail to reject the alternative hypothesis

The weight of the average 6th grade student's backpack (with books in it) is 18.4 lbs. The principal of the school thinks that the backpack does not weight 18.4 lbs. What is the null and alternate hypothesis?

• H₀ = 18.4
  H_a = 18.4

• H₀ = 18.4
  H_a > 18.4

• H₀ = 18.4
  H_a < 18.4

• H₀ = 18.4
  H_a ≠ 18.4

Identify the correct null hypothesis:

Is the proportion of babies born male different from 50%? In a sample of 200 babies, 96 were male. Test the claim using a level of significance of 1%.

• H₀: p = 0.50

• H₀: µ = 100

• H₀: p = 0.48

• H₀: µ = 96

A __________ occurs if you accept the null hypothesis when it is false.

• Type I error

• Type II error

Which test do we run for means?

• Z-Test

• T-Test

• 1-PropZTest

• 1-MeanTTest