Paired Design Input Page

Enter the data in the textarea provided below, or input file containing the data. The input format is y _i,1, y _i,2, where y _i,1 is the ith response from sample one and y _i,2 is the matched ith response from sample two. An example input data set is provided below the submit button.

The default level of confidence for the distribution free CI is 95%, this can be changed by inputing a value in the 'Confidence Level' field below. A value between 0 and 100 must be entered or the form will not be submitted.

For testing default null value of θ is 0, this can be changed by inputing a value in the 'Null Value' field below. The default alternative hypothesis is the two-sided alternative, this can be changed by selecting a different alternative in the 'Alternative Hypothesis' option below.

Data Input
File containing data for analysis:
Label for two samples:
Confidence Level:
Null Value of θ:		Alternative Hypothesis: Two-sided Upper-tail Lower-tail
Data Plots Available:
Comparison Dot Plot
Comparison Box Plot
Comparison Q-Q Plot
Dot Plot of Differences
Box Plot of Differences
Histogram of Differences
Q-Q Plot of Differences	Quantile: Normal Logistic Cauchy(0,1) t(0,1) t(0,2) t(0,3) t(0,4) t(0,5) t(0,6) t(0,7) t(0,8) t(0,9) t(0,10) t(0,15) t(0,20) t(0,25)
Residual Plots Available:
Boxplot, Dotplot and Histogram of R Residuals
Q-Q Plot of R Residuals	Quantile: Normal Logistic Cauchy(0,1) t(0,1) t(0,2) t(0,3) t(0,4) t(0,5) t(0,6) t(0,7) t(0,8) t(0,9) t(0,10) t(0,15) t(0,20) t(0,25)
Studentized Residual Plots Available:
Boxplot, Dotplot and Histogram of R Studentized Residuals
Q-Q Plot of R Studentized Residuals	Quantile: Normal Logistic Cauchy(0,1) t(0,1) t(0,2) t(0,3) t(0,4) t(0,5) t(0,6) t(0,7) t(0,8) t(0,9) t(0,10) t(0,15) t(0,20) t(0,25)

Example input data set:
23.500 17.375
12.000 20.375
21.000 20.000
22.000 20.000
19.125 18.375
21.550 18.625
22.125 18.625
20.375 15.250
18.250 16.500
21.625 18.000
23.250 16.250
21.000 18.000
22.125 12.750
23.000 15.500
12.000 18.000

There are 15 matched responses in the data set. The data in the first column are the responses from sample one and column two is the responses from the second sample. For this data set, interested in testing that there is no difference in locations, i.e., &theta = 0, so we do not have to put a value in the 'Null Value' field.