<?php
$lang->eqvariance = new stdclass();
$lang->eqvariance->stack      = 'Stack';
$lang->eqvariance->response   = 'Response';
$lang->eqvariance->factor     = 'Factor';
$lang->eqvariance->confidence = 'Confidence';
$lang->eqvariance->determine  = 'Determine test';

$lang->eqvariance->sd       = 'Standard';
$lang->eqvariance->n        = 'N';
$lang->eqvariance->sample   = 'Sample';
$lang->eqvariance->method   = 'Method';
$lang->eqvariance->test     = 'Test';
$lang->eqvariance->CI       = 'Confidence interval';
$lang->eqvariance->f        = 'F';
$lang->eqvariance->bartlett = 'Bartlett';
$lang->eqvariance->levene   = 'Levene';
$lang->eqvariance->pValue   = 'P value';

$lang->eqvariance->testStatistics = 'Test statistics';
$lang->eqvariance->useMethodDesc  = '<p>%s method is used. This method is accurate for normal data only</p>';

$lang->eqvariance->methodDesc  = '<p>Null hypothesis &nbsp;&nbsp;&nbsp; All variances are equal</p>';
$lang->eqvariance->methodDesc .= '<p>Alternative hypothesis At least one variance is different</p>';
$lang->eqvariance->methodDesc .= '<p>Significance level α = %s</p>';

$lang->eqvariance->errorGroupCount = 'The calculation cannot be completed. There is only one grouping of factors';
$lang->eqvariance->errorDataCount  = 'The calculation cannot be completed. After combining the factor columns, the number of data in each group needs to be greater than 1.';
$lang->eqvariance->errorFactor     = 'Responses cannot be used as factors:%s';
$lang->eqvariance->errorResponse   = 'The response column must be a numeric column:%s';
$lang->eqvariance->errorConfidence = 'The confidence level interval is 0.0001 < value < 99.9999.';
$lang->eqvariance->errorString     = 'The data column %s should not contains non-numeric values';
$lang->eqvariance->errorLine       = 'Can not select empty column:%s';
$lang->eqvariance->errorlessLine   = 'Select at least two columns for the response';
$lang->eqvariance->errorSD         = 'The calculation cannot be completed, and the standard deviation of the grouped data is 0';

$lang->eqvariance->bonferroniTitle = '%s Bonferroni CI for Standard Deviations';

$lang->eqvariance->stackEnum['true']  = 'Stack, where all response data is stacked in the same column';
$lang->eqvariance->stackEnum['false'] = 'Not stacked, each response data is in its own column';

$lang->eqvariance->determineEnum['false'] = 'The data are not normally distributed';
$lang->eqvariance->determineEnum['true']  = 'The data are normally distributed';
