scipy

Question 1

kurtosis of an array

Answer 1

scipy.stats.kurtosis(arr)

Question 2

skew of an array

Answer 2

scipy.stats.skew(arr)

Question 3

coefficient of variation for an array

Answer 3

stats.variation(arr1)

Question 4

standard error of an array

Answer 4

stats.sem(arr1)

Question 5

z score for normal distribution with confidence = confidence

Answer 5

stats.norm.ppf((1 + confidence) / 2.)

Question 6

t score for student’s t distribution with confidence = confidence, and size of array is n

Answer 6

stats.t.ppf((1 + confidence) / 2., n-1)

Question 7

calculate p value for normal distribution, given a z score (complete formula)

Answer 7

pvalue = (1 - stats.norm.cdf(abs(zscore))) * sides

Question 8

calculate p value for student’s T distribution, given tscore (complete formula)

Answer 8

pvalue = (1 - stats.t.cdf(abs(tscore), 9)) * (sides)