ttest_1samp

hana_ml.algorithms.pal.stats.ttest_1samp(data, col=None, mu=0, test_type='two_sides', conf_level=0.95)

Perform the t-test to determine whether a sample of observations could have been generated by a process with a specific mean.

Parameters

dataDataFrame

DataFrame containing the data.

colstr, optional

Name of the column for sample.

If not given, it defaults to the first column.

mufloat, optional

Hypothesized mean of the population underlying the sample.

Defaults to 0.

test_type{'two_sides', 'less', 'greater'}, optional

The alternative hypothesis type.

Defaults to 'two_sides'.

conf_levelfloat, optional

Confidence level for alternative hypothesis confidence interval.

Defaults to 0.95.

Returns

DataFrame

Statistics results.

Examples

Original data:

>>> df.collect()
    X1
0  1.0
1  2.0
2  4.0
3  7.0
4  3.0

Perform One Sample T-Test:

>>> ttest_1samp(data=df).collect()
           STAT_NAME  STAT_VALUE
0            t-value    3.302372
1  degree of freedom    4.000000
2            p-value    0.029867
3      _PAL_MEAN_X1_    3.400000
4   confidence level    0.950000
5         lowerLimit    0.541475
6         upperLimit    6.258525