The aim of this study was to determine associations and the values of power analysis as their reliability degrees between Year or Cultivars and traits such as fruit weight (FW), total acid (TA) and, the soluble substance that can be dissolved in water (SSDW) from various ten raspberry cultivars in an adaptation study regarding horticulture field by using Chi-Square and Likelihood Ratio Chi-Square statistics after FW, TA and SSDW were categorized as binary (low and high). Association between FW and CULTIVAR, association between SSDW and YEAR, association between SSDW and CULTIVAR, association between TA and CULTIVAR were much more significant (P<0.001). Besides, corresponding power values for Chi-Square and Likelihood Ratio Chi-Square statistics were very close on each other and had a reliability of approximately 100% and enough sample size. Contrary to these four contingency tables, associations between both FW-YEAR and TA-YEAR were non-significant and non-reliable because corresponding power values for Chi-Square and Likelihood Ratio Chi-Square statistic were 50-51% (a power of moderate-level) and 22-23% (power of low level), respectively and sufficient sample sizes for both FW-YEAR and TA-YEAR should be 240 and 560, respectively in order to provide a power of 80%. As a result, in order to be obtained reliable results and determined enough sample size in Chi-Square and Likelihood Ratio Chi-Square Statistics, power analysis should be performed
