The results showed that 7 of the 10 lower intelligence people were willing to participant but only 2 of the 10 higher intelligence people were willing. a. Convert the data to a form suitable for comput- ing the phi-coefficient. (Code the two intelligence categories as 0 and 1 for the X variable, and code the willingness to participate as 0 and 1 for the Y variable.) b. Compute the phi-coefficient for the data.



Answer :

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a. Here's the data in a suitable form for computing the phi-coefficient:

| Intelligence (X) | Willingness to Participate (Y) | Frequency |
| --- | --- | --- |
| 0 (Lower) | 0 (Not Willing) | 3 |
| 0 (Lower) | 1 (Willing) | 7 |
| 1 (Higher) | 0 (Not Willing) | 8 |
| 1 (Higher) | 1 (Willing) | 2 |

b. To compute the phi-coefficient (φ), we'll use the following formula:

φ = √[(χ² / N)]

where χ² is the chi-squared statistic, and N is the total sample size.

First, let's calculate χ²:

χ² = Σ[(observed frequency - expected frequency)^2 / expected frequency]

Using the frequencies from the table, we get:

χ² = [(3-4.5)^2/4.5 + (7-5.5)^2/5.5 + (8-5.5)^2/5.5 + (2-4.5)^2/4.5] = 4.5

Now, let's calculate φ:

φ = √[(4.5 / 20)] = √(0.225) = 0.474

So, the phi-coefficient (φ) is approximately 0.474.

The phi-coefficient measures the strength of association between two binary variables. In this case, it indicates a moderate positive association between higher intelligence and willingness to participate.