Compare Two Population Proportions
Confidence Interval & Significance Test
Two Dependent Samples
Enter Data:
From Textbook
Number of Successes
Individual Observations
Dataset:
Voter
General Social Survey - GSS
Aspirin & Cancer
TV & Agressive Behavior
Police Treatment
Believe in Afterlife
Group 1:
Sample Size:
# of Successes:
Group 2:
Sample Size:
# of Successes:
Provide Labels for:
Groups
Successes
Group 1:
Group 2:
Label for Successes:
Enter individual observations, separated by a space. The observations should consist of two different strings, such as 'Yes' and 'No', but you can use any two names. You can also copy & paste such data from a spreadsheet
Group 1:
Group 2:
Which category defines a success?
No
Yes
Type of Inference:
Confidence Interval
Significance Test
Confidence Level (in %):
Interval, Lower or Upper Bound?
Interval
Lower
Upper
Alternative:
Two-sided
Less
Greater
Options:
Show
z-score
for Margin of Error
Select Range of x-Axis
Select Lower and Upper Limit:
Type of Confidence Interval:
Wald
Agresti-Caffo
Score
More Info on Dataset
Barchart
Plot of Interval
Show Pooled Proportion
Distribution of
Sample Difference
Null Value for Difference
Null Value for Difference:
Decision Reject/Not Reject
Significance Level (in %)
More Info on Dataset
Barchart
Plot of P-value
Enter Data:
From Textbook
Summary Counts
Individual Observations
Dataset:
Heaven & Hell
Speech Recognition
Coffee Brand Purchases
Sample 1 Label:
Sample 2 Label:
Contingency Table:
Enter the 4 cells of the contingency table (see Textbook). Click on row or column headers to change labels.
Click on row or column headers to change labels.
Enter binary data either using 1 for success and 0 for failure or S for success and F for failure, separated by a space. (E.g., '1 0 0 1 0' or 'S F F S F'.) You can also copy and paste from a spreadsheet, but the values must be eithers F's and S's or 0's and 1's. The sequence entered for each group must refer to the same subjects.
Sample 1:
Sample 2:
Type of Inference:
Confidence Interval
Significance Test
Confidence Level (in %):
Interval, Lower or Upper Bound?
Interval
Lower
Upper
Alternative:
Two-sided
Less
Greater
McNemar Test Statistic:
z = (b-c) / sqrt(b+c)
Options:
Show
z-score
for Margin of Error
Select Range of x-Axis
Select Lower and Upper Limit:
More Info on Dataset
Barchart
Plot of Interval
Distribution of
Sample Difference
Decision Reject/Not Reject
Significance Level (in %)
More Info on Dataset
Barchart
Plot of P-value
2 x 2 Contingency Table: