wˈʌnwˈeɪ ænˈoʊvə ɪz jˈuːzd tə tˈɛst fɔːɹ dˈɪfɹənsᵻz ɐmˌʌŋ tˈuː ɔːɹ mˈoːɹ ˌɪndᵻpˈɛndənt ɡɹˈuːps mˈiːnz, ˈiː.dʒˈiː. dˈɪfɹənt lˈɛvəlz ʌv juːɹˈiə ˌæplɪkˈeɪʃən ɪn ɐ kɹˈɑːp, ɔːɹ dˈɪfɹənt lˈɛvəlz ʌv ˌæntɪbaɪˈɑːɾɪk ˈækʃən ˌɔn sˈɛvɹəl dˈɪfɹənt bæktˈɪɹiəl spˈiːsiːz, ɔːɹ dˈɪfɹənt lˈɛvəlz ʌv ɪfˈɛkt ʌv sˌʌm mˈɛdəsən ˌɔn ɡɹˈuːps ʌv pˈeɪʃənts.
One-way ANOVA is used to test for differences among two or more independent groups (means), e.g. different levels of urea application in a crop, or different levels of antibiotic action on several different bacterial species, or different levels of effect of some medicine on groups of patients.