Show transcribed image text Attempts: Keep the Highest: /5 7. The chi-square goodness-of-fit test – Reaching a conclusion Aa Aa A chi-square goodness-of-fit test is conducted to determine if the distribution of observed data among four possible categories is similar to a known distribution. The null hypothesis states that the population is distributed according to a known distribution with the following proportions: Category A B CD Proportion under Ho 40% 35% 18% 7% A random sample of n = 400 observations is obtained from the population. The resulting observed counts and the corresponding expected counts associated with the null hypothesis are shown in the following table. Category A B C D Observed count (observed cell count) 184 122 60 34 Expected count (expected cell count) 160 140 72 28 The chi-square test statistic for the preceding cell count data is x -9.20. (See explanation for details.) Use the Distribution tool to answer the questions that follow search
Attempts: Keep the Highest: /5 7. The chi-square goodness-of-fit test – Reaching a conclusion Aa Aa A chi-square goodness-of-fit test is conducted to determine if the distribution of observed data among four possible categories is similar to a known distribution. The null hypothesis states that the population is distributed according to a known distribution with the following proportions: Category A B CD Proportion under Ho 40% 35% 18% 7% A random sample of n = 400 observations is obtained from the population. The resulting observed counts and the corresponding expected counts associated with the null hypothesis are shown in the following table. Category A B C D Observed count (observed cell count) 184 122 60 34 Expected count (expected cell count) 160 140 72 28 The chi-square test statistic for the preceding cell count data is x -9.20. (See explanation for details.) Use the Distribution tool to answer the questions that follow search
