#### Use sample data or upload a file

###### The app takes a few seconds to load. Please wait for ~12 seconds.

Upload data from a comma or tab separated file.

Upload data from a .xls or .xlsx file.

Upload data from a .json file.

Upload data from a .dta file.

Upload data from a .sav file.

Upload data from a .sas7bdat file.

Upload data from a RDS file.

#### Select Data Set

Select a data set from the drop down box and click on submit.

#### Data Transformation

Rename variables and modify data types.

#### Select Variables

Click on Yes to select variables.

#### Filter Data

Click on Yes to filter data.

#### Data Screening

Screen data for missing values, verify column names and data types.

#### One Sample t Test

Performs t tests on the equality of means. It tests the hypothesis that a sample has a mean equal to a hypothesized value.

##### Mu:

#### Independent Sample t Test

Compare the means of two independent groups in order to determine whether there is statistical evidence that the associated population means are significantly different.

##### Alternative:

#### Paired Sample t Test

Tests that two samples have the same mean, assuming paired data.

##### Alternative:

#### Binomial Test

Test whether the proportion of successes on a two-level categorical dependent variable significantly differs from a hypothesized value.

##### Probability:

##### Probability:

#### One Sample Variance Test

Performs tests on the equality of standard deviations (variances).It tests that the standard deviation of a sample is equal to a hypothesized value.

##### Std. Deviation

#### Two Sample Variance Test

Performs tests on the equality of standard deviations (variances).

##### Alternative:

##### Alternative:

#### One Sample Proportion Test

Compares proportion in one group to a specified population proportion.

##### Alternative:

##### Alternative:

#### Two Sample Proportion Test

Tests on the equality of proportions using large-sample statistics. It tests that a sample has the same proportion within two independent groups or two samples have the same proportion.

##### Alternative:

##### Alternative:

##### Proportion 2:

#### One Way ANOVA

One way analysis of variance.

##### Grouping Variable:

#### Levene Test

Levene's robust test statistic for the equality of variances and the two statistics proposed by Brown and Forsythe that replace the mean in Levene's formula with alternative location estimators. The first alternative replaces the mean with the median. The second alternative replaces the mean with the 10% trimmed mean.

##### Variables:

##### Grouping Variable:

#### Chi Square Goodness of Fit Test

Test whether the observed proportions for a categorical variable differ from hypothesized proportions

##### Expected Proportion:

#### Chi Square Test of Association

Examine if there is a relationship between two categorical variables.

##### Variable 2:

#### Cochran's Q Test

Test if the proportions of 3 or more dichotomous variables are equal in the same population.

##### Select Variables:

#### Runs Test for Randomness

Tests whether the observations are serially independent i.e. whether they occur in a random order, by counting how many runs there are above and below a threshold. By default, the median is used as the threshold. A small number of runs indicates positive serial correlation; a large number indicates negative serial correlation.

##### Threshold

#### McNemar Test

Test if the proportions of two dichotomous variables are equal in the same population.

##### Variable 2:

##### 1