Question 28 (1 point) Each of the following statements describes a characteristic of the Chi-Square distribution except for one,Which of the statements is wrong? As the degrees of freedom increase, the chi-square distribution looks more like a normal distribution. The shape of the distribution depends on the number of degrees of freedom. It is has a longer "tail" on the right side, i.e., it is a positively skewed distribution. The Chi-Square distribution runs from minus infinity to plus infinity.

## Step 1<br />The Chi-Square distribution is a special type of distribution that is used in hypothesis testing and in the analysis of variance. It has several key characteristics:<br /><br />1. As the degrees of freedom increase, the Chi-Square distribution looks more like a normal distribution. This is because the degrees of freedom determine the shape of the distribution.<br /><br />2. The shape of the distribution depends on the number of degrees of freedom. This is also true because the degrees of freedom determine the shape of the distribution.<br /><br />3. The Chi-Square distribution has a longer "tail" on the right side, i.e., it is a positively skewed distribution. This is because the distribution is skewed to the right, meaning that it has a longer tail on the right side.<br /><br />## Step 2<br />However, the statement that the Chi-Square distribution runs from minus infinity to plus infinity is incorrect. The Chi-Square distribution is a non-negative distribution, meaning that it only takes on values from zero to positive infinity. It does not take on negative values.