QlikView Reference Manual.pdf - QlikCommunity - QlikView

TTest1w_upper ([set_expression][ total [] weight, value
[, sig = 0.025 ])
returns the aggregated value for the upper end of the confidence interval for a series of values iterated over
the chart dimension(s). See the TTest1w_t ([set_expression][ total [] weight, value) (page 793)
and Ttest1w_conf functions for argument descriptions.
The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function
supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function.
Examples:
ttest1w_upper( Weight, Value )
ttest1w_upper( Weight, Value, 0.005 )
The following five functions apply to z-tests.
ZTest_z ([set_expression][ total [] value [, sigma])
returns the aggregated z value for a series of values iterated over the chart dimension(s). The values should
be returned by value. A population mean of 0 is assumed. If you want the test to be performed around
another mean, subtract that value from the sample values. If known, the standard deviation can be stated in
sigma. If sigma is omitted the actual sample standard deviation will be used. Text values, null values and
missing values in value will result in the function returning null.
The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function
supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function.
Example:
ztest_z( Value-TestValue )
ZTest_sig ([set_expression][ total [] value [, sigma])
returns the aggregated z-test 2-tailed level of significance for a series of values iterated over the chart dimension(s).
See the ZTest_z ([set_expression][ total [] value [, sigma]) (page 795) function for argument
descriptions.
The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function
supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function.
Example:
ztest_sig(Value-TestValue)
ZTest_dif ([set_expression][ total [] value [, sigma])
returns the aggregated z-test mean difference for a series of values iterated over the chart dimension(s). See
the ZTest_z ([set_expression][ total [] value [, sigma]) (page 795) function for argument descriptions.
The same limitations with regard to nested aggregation as those listed under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function apply. This function
supports the total qualifier in the same manner as described under the chi2test_p ([set_expression][
total [] col, row, observed_value [, expected_value]) (page 785) function.
Example:
ztest_dif(Value-TestValue)
795