Final answer:
The statement is false. The shape of the chi-square distribution depends on the degrees of freedom (df) which represents the number of categories or variables being analyzed.
Step-by-step explanation:
The statement is false.
The chi-square distribution is a probability distribution that is used to determine the likelihood of observing a particular set of outcomes given a specific null hypothesis.
The shape of the chi-square distribution depends on the degrees of freedom (df) which represents the number of categories or variables being analyzed. When df is small, the distribution tends to be skewed and asymmetrical.
However, as df increases, the chi-square distribution becomes more symmetric and approaches a normal distribution.