Question

A survey asked what types of flowers and pets people preferred. The results are summarized in this two-way frequency table.

What is the frequency for responses preferring dogs and tulips? A. 0.32 B. 60 C. 0.30 D. 66​

Answer 1

Without the provided two-way frequency table, it is impossible to determine the frequency for responses preferring dogs and tulips. However, typically, one would find this frequency by locating the cell at the intersection of the 'dogs' column and 'tulips' row in such a table.

Step-by-step explanation:

The student's question pertains to finding the frequency for responses preferring dogs and tulips based on a two-way frequency table provided to them. While the question suggests a table is available, it has not been presented in the question. Therefore, it is impossible to provide an accurate answer regarding the frequency of responses preferring dogs and tulips without the actual data from the table.

We can, however, say that to find the frequency of a particular response in a two-way frequency table, one would need to look at the intersection where the preferred pet column (dogs, in this case) meets the preferred flower row (tulips). The cell at this intersection would give the frequency of respondents who preferred both dogs and tulips.

Answer 2

B. 60

Step-by-step explanation:

the frequency of responses :

the number of countable responses per unit of time. our in our case per unit of "desired outcome".

many greetings to your teacher, this is a very complicated (and unnecessarily complicated) way of asking about how many people preferred dogs and tulips in this survey.

the answer is therefore just the number at the crossing of people preferring dogs (one dimension) and tulips (the other dimension) : 60

the reason for my comments : "frequency" is normally used for occurrences per unit of time. not just for occurrences. it is valid (we have exactly one unit of time : the whole survey), but confusing and irritating under these circumstances.

we use this normally to address curves that show changes (or no changes) over time. not to explain a single snapshot in time.