The logging company would like to use its sample to provide convincing statistical evidence that over 50 percent of the trees in the forest are spruce trees. The logging company has decided to use a chi-square goodness-of-fit test to justify its claim. Why is the chi-square goodness-of-fit test not an appropriate procedure for the logging company to use

The chi-square goodness-of-fit test is best used with categorical variables.  The trees in the forest are not categorical variables but numerical.

Step-by-step explanation:

The chi-square goodness-of-fit test determines whether the distribution of cases in a single categorical variable follows a known distribution.  The chi-square goodness-of-fit test data deal with data frequencies, levels, or counts of cases rather than percentages or other data transformations. Lastly, the categories of the variables are mutually exclusive because they assume the form of either or.

A chi-square goodness-of-fit test would be used to show that the entire distribution of trees in the forest is different than what the forester reported, not necessarily the individual proportion representing the spruce trees.

Step-by-step explanation:

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step-by-step explanation: