An amusement park keeps track of the percentage of individuals with season passes according to age category. An independent tour
ist company would like to show that this distribution of age category for individuals buying season passes is different from what the amusement park claims. The tourist company randomly sampled 200 individuals entering the park with a season pass and recorded the number of individuals within each age category. Age Category Child (under 13 years old) Teen (13 to 19 years old) Adult (20 to 55 years old) Senior (56 years old and over)
Number of Individuals 56 86 44 14
The tourist company will use the data to test the amusement park’s claim, which is reflected in the following null hypothesis. H0:pchild=0.23, pteen=0.45, padult=0.20, and psenior=0.12. What inference procedure will the company use to investigate whether or not the distribution of age category for individuals with season passes is different from what the amusement park claims?
A. A one-sample z-test for a population proportion
B. A two-sample z-test for a difference between population proportions
C. A matched pairs t-test for a mean difference
D. A chi-square test for homogeneity
E. A chi-square goodness-of-fit test
Is used to investigate whether or not there is a significant difference between a distribution generated from a sample and a hypothesize population distribution
