Chi-Quadrat-Unabhängigkeitstest in SPSS durchführen - Daten analysieren in SPSS (22)

// Performing a Chi-Square Test of Independence in SPSS // The chi-square test of independence shows whether there are statistically significant differences between expected and observed frequencies. It uses the chi-square distribution. The calculation is performed by dividing the sum of the squared deviations of the actual and expected frequencies by the expected frequencies and degrees of freedom. The null hypothesis states that there are no statistically significant differences between expected and observed frequencies. Therefore, the goal is to be able to prove equality by confirming that the null hypothesis cannot be rejected. For questions and suggestions regarding the chi-square test in SPSS, please use the comment function. Let us know if you found the video helpful by giving it a thumbs up or down. #statistikampc ⭐Become a channel member⭐: =======================    / @statistikampc_bjoernwalther   Timestamp ⏰ ============ 0:00 Introduction 0:17 Example case 0:44 Procedure in SPSS 0:56 Optional: Weighting cases 2:09 Crosstabulations as a basis for the chi-square test 3:48 Calculating the chi-square test 4:04 Interpreting the chi-square test 5:23 Second example For further reading, visit my website: ======================================== 💡 Chi-square test in SPSS: https://www.bjoernwalther.com/chi-qua... Support the channel? 🙌🏼 =================== PayPal donation: https://www.paypal.com/paypalme/Bjoer... Amazon Affiliate Link: https://amzn.to/2iBFeG9 Thank you for your support! ♥ My website 💡 ================= https://www.bjoernwalther.com