A distribution free procedure to pe

A distribution free procedure to perform such a test is the bootstrap procedure.
Basically, in this procedure you draw many random samples out of
the real sample with replacement. It is important that these random samples
all have the same sample size as your real sample. For every random
sample compute the corresponding statistic (here the mean) and store it.
To test your hypotheses compute the percentile of the hypothesized value
(here 100) in the resulting vector. This percentile corresponds roughly to
a p value in an usual statistical test.

Результаты (английский) 1:

(A) distribution free procedure to perform such a test is the bootstrap procedure.Basically, in this procedure you draw many random samples out ofthe real sample with replacement. It is important that these random samplesall have the same sample size as your real sample. For every randomcompute the corresponding sample statistic (here the mean) and store it.To test your hypotheses compute the percentile of the hypothesized value(here 100) in the resulting vector. This percentile roughly corresponds toa p value in an usual statistical test.

Результаты (английский) 2:

Distribution free procedure A to perform such a test is the bootstrap procedure.
Basically, in this procedure you draw many random samples out of
the real sample with replacement. It is important that It these random samples
all have the same sample size as your real sample. Every random For
sample compute the corresponding statistic (here the mean) and store it.
To test your hypotheses compute the percentile of the hypothesized value
(here 100) in the resulting vector. Percentile corresponds roughly This to
ap value in an usual statistical test.

Результаты (английский) 3:

a distribution free procedure to perform such a test is the bootstrap procedure.
i, in this procedure you draw many random samples out of
the real sample with replacement. it is important that these random samples. all have the same sample size as a real sample. for every random
sample compute the corresponding statistic (here the mean) and store it.to test your hypotheses compute the percentile of the hypothesized value
(10, 100) in the resulting vector. this percentile corresponds statistics to
a p value in an usual statistical test.