Statistics Tests Solver

 

For proportions: enter 1 for yes, 0 for no.
 

Basic Statistics

n =
Min =
Quartile 1 =
Median =
Quartile 3 =
Max =
Range =
Interquartile Range =
Statistic (Mean or Proportion)=
Population Standard Deviation (n) =
Variance (n) =
Sample Standard Deviation (n - 1) =
Variance (n - 1) =
Sum of Values =
Sum of Differences Squared =

Notes on the Tests Below:

Confidence Intervals on 1 Data Set

Data and Test Type =
Confidence Level as a decimal =
n =
Statistic (mean/proportion) =
Standard Deviation of the sample/population =
Standard Deviation of the Statistic (st dev / sqrt n) =
T or Z value =
Degrees of Freedom (n - 1)=
Error =
Lower Limit =
Upper Limit =

Significance Tests on 1 Data Set

Data and Test Type =
n =
Statistic (mean/proportion)=
Null Value =
Standard Deviation of the sample/population =
Standard Deviation of the Statistic (st dev / sqrt n) =
T or Z value =
Degrees of Freedom =
one sided p-value =
two sided p-value =

Difference in Statistics (Unpaired, 2 Variable)

Data and Test Type =
n of Data Set 1 =
Statistic (mean/proportion) from Data Set 1 =
Standard Deviation of the sample/population from Data Set 1=
Standard Deviation of the Statistic (st dev / sqrt n) for Data Set 1 =
n of Data Set 2 =
Statistic (mean/proportion) from Data Set 2 =
Standard Deviation of the sample/population from Data Set 2 =
Standard Deviation of the Statistic (st dev / sqrt n) for Data Set 2 =
Expected Value of (Statistic 2 - Statistic 1) =
Standard Deviation of Expected Value of (Stat 2 - Stat 1) =
Degrees of Freedom =
Confidence Level as a decimal =
Z or T =
Error =
Lower =
Upper =
Null Value =
Pooled/Common Proportion =
Z or T =
One Sided p-value =
Two Sided p-value =

Difference in Statistics (Paired: Data 3 = Data 2 - Data 1)

Data and Test Type =
Statistic (Mean/ Proportion) of Data Set 3 =
Sample Standard Deviation of Data Set 3 =
Degrees of Freedom =
Confidence Level as a Decimal =
Standard Deviation of the Sample Exected Value=
Z or T =
Error =
Lower =
Upper =
Null Value =
Standard Deviation of the Sample Exected Value=
Z or T =
One Sided p-value=
Two Sided p-value =