**Parts:**Part 2

**See also:**

**Youtube Link:**http://www.youtube.com/watch?v=FAjbL6nWEwA

**syntax created by how2stats

**This syntax performs a one sample z-test in SPSS

**Simply enter the four relevant values in the line below underneath the 'begin data' command

**The first number is the sample size (35), the second number is the sample mean (105),

**the third number is the population mean (100)

**and the fourth number is the population standard deviation (15)

**Replace the four values below with your own.

**The p value that is reported is based on a two-tailed test.

**To obtain the one-tailed p value, simply divide the two-tailed p value by 2.

**As an extra, this syntax also calcuates Cohen's d as estimate of effect size.

data list list / n sample_mean population_mean population_sd.

begin data

35 105 100 15

end data.

Compute mean_difference = sample_mean - population_mean.

Compute square_root_n =SQRT(n).

Compute standard_difference = population_sd/square_root_n.

Compute z_statistic = mean_difference/standard_difference.

Compute chi_square = z_statistic*z_statistic.

Compute p_value = SIG.CHISQ(chi_square, 1).

Compute cohens_d = mean_difference/population_sd.

EXECUTE.

Formats z_statistic p_value cohens_d (f8.5).

LIST z_statistic p_value cohens_d.