Significance Test for the Difference of Two Proportions Section 8.4 Significance Test for the Difference of Two Proportions
Quiz 8.3 – 8.4 tomorrow 1 side of a note card
Suppose: We have two populations.
Suppose: We have two populations. The proportion of successes for each population is 0.2 so …
Suppose: We have two populations The proportion of successes for each population is 0.2 so p1 = p2
Suppose: We take a pair of samples of size 30 from each population and calculate the difference in their proportions,
Suppose: We take a pair of samples of size 30 from each population and calculate the difference in their proportions, We repeat this process 5000 times
Next, we do this same process for samples of size 50 and 100 Suppose: We take a pair of samples of size 30 from each population and calculate the difference in their proportions, We repeat this process 5000 times Next, we do this same process for samples of size 50 and 100
Next, we do this same process for samples of size 50 and 100 Suppose: We take a pair of samples of size 30 from each population and calculate the difference in their proportions, We repeat this process 5000 times Next, we do this same process for samples of size 50 and 100 Where do we expect the center of the distribution to be?
Where do we expect the center of the distribution to be? 0 because p1 = p2 Recall, the mean of the differences is equal to the difference of the means.
As n1 and n2 increase? Shape: Center: Spread:
As n1 and n2 increase? Shape: more normal Center: Spread:
As n1 and n2 increase? Shape: more normal Center: stays at 0 Spread:
As n1 and n2 increase? Shape: more normal Center: stays at 0 Spread: decreases
Standard Error As n1 and n2 increase, the standard error decreases. To find standard error, use formula: SE =
Standard Error
Page 536, P48
Page 536, P48 (a) After millions of repetitions, we would expect and to both equal 0.12. Thus, the expected value of the difference of would be 0.12 - 0.12 = 0.
Page 536, P48
Page 536, P48
Page 536, P48 d. Using the calculator, normalcdf(.05,1E99, 0, .0154) gives approximately 0.00058. Note: This is not a standard normal distribution so must also use mean and standard error.
Time to go to work on Fathom Lab 8.4a! Due: Wednesday
Questions?