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1. Non parametric test - Sign test example ( Enter your problem )
  1. Example-1
  2. Example-2
Other related methods
  1. Non parametric test - Sign test
  2. Non parametric test - Mann whitney U test
  3. Non parametric test - Kruskal-wallis test
  4. Non parametric test - Chi square test
  5. Non parametric test - Median test
  6. Non parametric test - Mood's Median test
  7. Parametric test - F test
  8. Parametric test - t-test
  9. Parametric test - Standard error

1. Example-1
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2. Non parametric test - Mann whitney U test
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2. Example-2





2. Non parametric test - Sign test for the following data
50,15,25,12,45,3,45,8,10,8,7,20,9,9,12
Median = 20, Significance Level `alpha=0.05` and One-tailed test


Solution:
Step-1:State the hypothesis
`H_0`: population median `>=` 20.

`H_1`: population median `<` 20.

Step-2: To perform the test, we count number of elements > 20 and number of elements < 20. We drop elements with value exactly 20.
In 3rd column, we put + if element is > 20, - if element is < 20 and n/a if element is = 20.
#ASign
150+
215-
325+
412-
545+
63-
745+
88-
910-
108-
117-
1220n/a
139-
149-
1512-

Step-3:
Number of plus sign = 4
Number of minus sign = 10
n = 4 + 10 = 14

Step-4:
p-value = BINOMDIST(4, 14, 0.5, TRUE) = 0.0898
Since the p-value(0.0898) > `alpha(0.05)` (one-tailed test), we can't reject the null hypothesis `H_0`.


This material is intended as a summary. Use your textbook for detail explanation.
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1. Example-1
(Previous example)
2. Non parametric test - Mann whitney U test
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