Statistic Module
Contents:
- KOLMOGOROV-SMIRNOV TEST (NORMALITY TEST)
- VARIANCE TEST
- MEAN TEST
- WILCOXON TEST (MEDIAN TEST)
- STATISTICAL PARAMETERS
KOLMOGOROV-SMIRNOV TEST (NORMALITY)
Input data: Numeric data arranged in column to test normality ;
Significance level area: Choose the significance level which is defined as the probability of rejecting a null hypothesis by the test;
Main comands area: Select "OK" to return the results of normality test, "Clear contents" to exclude data entered and results obtained, and "Return" to return to selection screen of the statistical module;
Preliminary results: Area intended to show all results of each calculation step;
Results area: Area that synthesizes and shows all important test results (Dn value, pvalue and conclusion)
Normality test screen
VARIANCE TEST
Input data 1 and 2: Numeric data arranged in column to test variance ;
Type of test:
- One variance (Chi-Square test): Compares sample variance from Input data set 1 with null hypotheses variance.
- Two variances (F-test): Compare variance between the two input data sets.
Significance level area: Choose the significance level which is defined as the probability of rejecting a null hypothesis by the test;
Null hypothesis (Ho):
- One variance (Chi-Square test): You must enter the null hypothesis value ;
- Two variances (F-test): Automatically entered null hypothesis (population variance = 1.0)
Alternative hypothesis (Ha):
- Two-tailed
- For Chi-Square test (Ha: σ ≠ σ0 and Ho:σ = σ0)
- For F-test (Ha: σ1 ≠ σ2 and Ho: σ1 = σ2)
- Lower-tailed
- For Chi-Square test (Ha: σ < σ0 and Ho:σ ≥ σ0)
- For F-test (Ha: σ1 < σ2 and Ho: σ1 ≥ σ2)
- Upper-tailed
- For Chi-Square test (Ha: σ > σ0 and Ho:σ ≤ σ0)
- For F-test (Ha: σ1 > σ2 and Ho: σ1 ≤ σ2)
where σ is sampled variance, σ0 is variance under null hypothesis, σ1 and σ2 variances of two sampled groups.
Other commands: Select "Calculate" to return the results of variance test, "Clear contents" to exclude data entered, and "Return" to return to selection screen of the statistical module;
Variance test screen
MEAN TEST
Input data 1 and 2: Numeric data arranged in column to mean test ;
Type of test:
- One-sample: Compares sampled mean from Input data set 1 with null hypotheses mean (µ0).
- Independent samples (Equal variances): Compare mean between the two input data sets (µ1 and µ2).
- Independent samples (Different variances): Compares mean between the two input data sets (µ1 and µ2)
- Paired: Compares if the mean difference between input data set 1 and input data set 2 is equal to 0 (µD).
Significance level area: Choose the significance level which is defined as the probability of rejecting a null hypothesis by the test;
Null hypothesis (Ho):
- One-sample: You must enter the null hypothesis value µ0
- Independent samples (Equal variances): Automatically entered null hypothesis (µ1 - µ2 ≤ or ≥ or = 0.0).
- Independent samples (Different variances): Automatically entered null hypothesis (µ1 - µ2 ≤ or ≥ or = 0.0).
- Paired: Automatically entered null hypothesis (µD ≤ or ≥ or = 0.0).
Alternative hypothesis (Ha):
- Two-tailed
- For one-sample (Ha: µ ≠ µ0 and Ho: µ = µ0)
- For Independent samples (Ha: µ1- µ2 ≠0 and Ho: µ1- µ2 =0)
- For paired (Ha: µD ≠ 0 and Ho: µD = 0)
- Lower-tailed
- For one-sample (Ha: µ < µ0 and Ho: µ ≥ µ0)
- For Independent samples (Ha: µ1- µ2 <0 and Ho: µ1- µ2 ≥0)
- For paired (Ha: µD < 0 and Ho: µD ≥ 0)
- Upper-tailed
- For one-sample (Ha: µ > µ0 and Ho: µ ≤ µ0)
- For Independent samples (Ha: µ1- µ2 >0 and Ho: µ1- µ2 ≤0)
- For paired (Ha: µD > 0 and Ho: µD ≤0)
where µ is sampled mean, µ0 is mean under null hypothesis, µ1 and µ2 means of two sampled groups.
Other commands: Select "Calculate" to return the results of mean test, "Clear contents" to exclude data entered, and "Return" to return to selection screen of the statistical module;
Mean test screen
WILCOXON TEST (MEDIAN TEST)
Input data 1 and 2: Numeric data arranged in column to mean test ;
Type of test:
- One-sample: Compares sampled median from Input data set 1 with null hypotheses mean (θ0).
- Independent samples: Compares medians between the two input data sets (θ1 and θ2).
- Paired: Compares if the median difference between input data set 1 and input data set 2 is equal to 0 (θD).
Significance level area: Choose the significance level which is defined as the probability of rejecting a null hypothesis by the test;
Null hypothesis (Ho):
- One-sample: You must enter the null hypothesis value θ0
- Independent samples (Different variances): Automatically entered null hypothesis (θ1 - θ2 ≤ or ≥ or = 0.0).
- Paired: Automatically entered null hypothesis (θD ≤ or ≥ or = 0.0).
Alternative hypothesis (Ha):
- Two-tailed
- For one-sample (Ha: θ ≠ θ0 and Ho: θ = θ0)
- For Independent samples (Ha: θ1- θ2 ≠0 and Ho: θ1- θ2 =0)
- For paired (Ha: θD ≠ 0 and Ho: θD = 0)
- Lower-tailed
- For one-sample (Ha: θ < θ0 and Ho: θ ≥ θ0)
- For Independent samples (Ha: θ1- θ2 <0 and Ho: θ1- θ2 ≥0)
- For paired (Ha: θD < 0 and Ho: θD ≥ 0)
- Upper-tailed
- For one-sample (Ha: θ > θ0 and Ho: θ ≤ θ0)
- For Independent samples (Ha: θ1- θ2 >0 and Ho: θ1- θ2 ≤0)
- For paired (Ha: θD > 0 and Ho: θD ≤0)
where θ is sampled median, θ0 is median under null hypothesis, θ1 and θ2 medians of two sampled groups.
Other commands: Select "Calculate" to return the results of median test, "Clear contents" to exclude data entered, and "Return" to return to selection screen of the statistical module;
Median test screen
STATISTICAL PARAMETERS
Objective: Compare observed and estimated data;
Observed data: Numeric data arranged in column;
Estimated data (compared): Numeric data arranged in column;
Calculate: Returns the values of Adjustment coefficient (AC), Efficiency (EF), Coefficient of Residual Mass (CRM), Root Mean Square Error (RMSE), Maximum Error (ME) and Mean Difference (MD)
Other commands: Select "Clear contents" to exclude data entered, and "Return" to return to selection screen of the statistical module;