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QlikView Reference Manual.pdf - QlikCommunity - QlikView

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eturns the aggregated student's t-test mean difference for a series of values iterated over the chart dimension(s).<br />

See the TTest1w_t ([set_expression][ total [] weight, value) (page 793) function for<br />

argument descriptions.<br />

The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function<br />

supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function.<br />

Examples:<br />

ttest1w_dif( Weight, Value )<br />

TTest1w_sterr ([set_expression][ total [] weight,<br />

value)<br />

returns the aggregated student's t-test standard error of the mean difference for a series of values iterated over<br />

the chart dimension(s). See the TTest1w_t ([set_expression][ total [] weight, value) (page 793)<br />

function for argument descriptions.<br />

The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function<br />

supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function.<br />

Example:<br />

ttest1w_sterr( Weight, Value )<br />

TTest1w_conf ([set_expression][ total [] weight, value<br />

[, sig = 0.025 ])<br />

returns the aggregated t value for a series of values iterated over the chart dimension(s). The two-tailed level<br />

of significance can be specified in sig. If omitted sig will be set to 0.025, resulting in a 95% confidence interval.<br />

See the TTest1w_t ([set_expression][ total [] weight, value) (page 793) function for descriptions<br />

of the other arguments.<br />

The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function<br />

supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function.<br />

Examples:<br />

ttest1w_conf( Weight, Value )<br />

ttest1w_conf( Weight, Value, 0.005 )<br />

TTest1w_lower ([set_expression][ total [] weight, value<br />

[, sig = 0.025 ])<br />

returns the aggregated value for the lower end of the confidence interval for a series of values iterated over<br />

the chart dimension(s). See the TTest1w_t ([set_expression][ total [] weight, value) (page 793)<br />

and TTest1w_conf functions for argument descriptions.<br />

The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function<br />

supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][<br />

total [] col, row, observed_value [, expected_value]) (page 785) function.<br />

Examples:<br />

794<br />

ttest1w_lower( Weight, Value )<br />

ttest1w_lower( Weight, Value, 0.005 )

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