Two sample unpaired T-test power calculation using simulation
Statistical tests like t test are used to test the hypothesis for comparison of mean between two groups. The result from a t test is used to determine if there a significant difference between the two samples mean, which cannot be attributed to sampling error or to random occurrence. A t...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Szeged
2023-11-01
|
| Series: | Analecta |
| Online Access: | https://www.analecta.hu/index.php/analecta/article/view/44717 |
| _version_ | 1797448519279181824 |
|---|---|
| author | Prasanth Sambaraju |
| author_facet | Prasanth Sambaraju |
| author_sort | Prasanth Sambaraju |
| collection | DOAJ |
| description |
Statistical tests like t test are used to test the hypothesis for comparison of mean between two groups. The result from a t test is used to determine if there a significant difference between the two samples mean, which cannot be attributed to sampling error or to random occurrence. A t test is considered a parametric test, meaning test samples should meet assumptions of normality, equal variances and independence. The article aims to calculate the power of unpaired t test using simulation in Microsoft Excel.
|
| first_indexed | 2024-03-09T14:11:35Z |
| format | Article |
| id | doaj.art-31866148614d463989c1eefcdc6f5e8b |
| institution | Directory Open Access Journal |
| issn | 2064-7964 |
| language | English |
| last_indexed | 2024-03-09T14:11:35Z |
| publishDate | 2023-11-01 |
| publisher | University of Szeged |
| record_format | Article |
| series | Analecta |
| spelling | doaj.art-31866148614d463989c1eefcdc6f5e8b2023-11-29T07:06:08ZengUniversity of SzegedAnalecta2064-79642023-11-01174101510.14232/analecta.2023.4.10-15Two sample unpaired T-test power calculation using simulationPrasanth Sambarajuhttps://orcid.org/0000-0003-2634-7910 Statistical tests like t test are used to test the hypothesis for comparison of mean between two groups. The result from a t test is used to determine if there a significant difference between the two samples mean, which cannot be attributed to sampling error or to random occurrence. A t test is considered a parametric test, meaning test samples should meet assumptions of normality, equal variances and independence. The article aims to calculate the power of unpaired t test using simulation in Microsoft Excel. https://www.analecta.hu/index.php/analecta/article/view/44717 |
| spellingShingle | Prasanth Sambaraju Two sample unpaired T-test power calculation using simulation Analecta |
| title | Two sample unpaired T-test power calculation using simulation |
| title_full | Two sample unpaired T-test power calculation using simulation |
| title_fullStr | Two sample unpaired T-test power calculation using simulation |
| title_full_unstemmed | Two sample unpaired T-test power calculation using simulation |
| title_short | Two sample unpaired T-test power calculation using simulation |
| title_sort | two sample unpaired t test power calculation using simulation |
| url | https://www.analecta.hu/index.php/analecta/article/view/44717 |
| work_keys_str_mv | AT prasanthsambaraju twosampleunpairedttestpowercalculationusingsimulation |