The statement that is not true for goodness-of-fit tests is c. "Expected frequencies must be whole numbers."
What is true about Goodness of fit tests?
In reality, expected frequencies are often calculated using probabilities, and these values are not necessarily whole numbers. Goodness-of-fit tests compare observed and expected frequencies to assess whether the observed data fits a particular distribution.
The other statements (a, b, d) are generally true: expected frequencies are based on the assumed distribution, observed frequencies must be whole numbers, and observed frequencies are derived from sample data.
Thus, the answer is: C.
Complete Question:
Which statement is not true for goodness of fit tests?
a. The expected frequency is found assuming that the distribution is as claimed.
b. Observed frequencies must be whole numbers
c. Expected frequencies must be whole numbers
d. The observed frequency is found from sample data values