Created
January 24, 2018 02:39
-
-
Save db5023/afb7b18340741ee897970cc43e1f420b to your computer and use it in GitHub Desktop.
One Sample T-Test Using Only Summary Statistics
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import scipy.stats as stats | |
import math | |
def one_sample_ttest_pval(tail, mu, x, s, n, alpha): | |
#Calculate test statistic and p-value. Provide summary stats and specify 1 or 2 tailed test | |
t = round((x - mu) / (s / math.sqrt(n)),2) | |
test_stat = round(stats.t.ppf(q=alpha, | |
df=n-1),3) | |
if tail == 1: | |
pval = round(stats.t.cdf(t, | |
df= n-1),4) | |
print("Results for a 1-tailed t-test:") | |
elif tail == 2: | |
pval = round((1 - stats.t.cdf(t, | |
df= n-1))* 2, 4) | |
print("Results for a 2-tailed t-test:") | |
#Print test results | |
print("Test statistic = {}".format(test_stat)) | |
print("P-value = {}".format(pval)) | |
print("Confidence = {}".format(alpha)) | |
#Compare p-value to confidence level | |
if pval <= alpha: | |
print("{} <= {}. Reject the null hypothesis.".format(pval, alpha)) | |
else: | |
print("{} > {}. Do not reject the null hypothesis.".format(pval, alpha)) | |
#Sample tests: | |
#one_sample_ttest_pval(2, 600, 612, 65, 40, .05) | |
#one_sample_ttest_pval(1, 238, 231, 80, 100, .05) | |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment