Power analysis is often applied in the context of ANOVA in order to assess the probability of successfully rejecting the null hypothesis if we assume a certain ANOVA design, effect size in the population, sample size and significance level.
pˈaʊɚɹ ɐnˈæləsˌɪs ɪz ˈɔfən ɐplˈaɪd ɪnðə kˈɑːntɛkst ʌv ænˈoʊvə ɪn ˈɔːɹdɚ tʊ ɐsˈɛs ðə pɹˌɑːbəbˈɪlᵻɾi ʌv səksˈɛsfəli ɹᵻdʒˈɛktɪŋ ðə nˈʌl haɪpˈɑːθəsˌɪs ɪf wiː ɐsˈuːm ɐ sˈɜːʔn̩ ænˈoʊvə dɪzˈaɪn, ɪfˈɛkt sˈaɪz ɪnðə pˌɑːpjʊlˈeɪʃən, sˈæmpəl sˈaɪz ænd sɪɡnˈɪfɪkəns lˈɛvəl.