Question

the conditional relative frequency table below was generated by column using frequency table data comparing the number of calories in a meal to whether the meal was prepared at home or at a restaurant. a nutritionist attempts to determine an association between where food is prepared and the number of calories the food contains. which is most likely true? an association cannot be determined because the value 0.55 is similar to the value 0.45 there is an association because the value 0.15 is not similar to the value 0.55 there is an association because the sum of each column is 1.0 an association cannot be determined because the sum of the rows going across is not 1.0

Explanation:

In conditional - relative frequency tables, an association exists when the conditional - relative frequencies are significantly different. Here, if the values in different columns (or rows depending on the conditioning) are not similar, it indicates an association. The sum of each column being 1.0 is a property of conditional - relative frequency tables and not related to determining association. The sum of rows not being 1.0 is also not relevant to association. If values like 0.15 and 0.55 are not similar, it suggests an association between the two variables (where food is prepared and number of calories).

Answer:

There is an association because the value 0.15 is not similar to the value 0.55.