Answer:
SE = 0.38 lbs
Explanation:
Standard error (SE) is defined as the standard deviation of the sample divided by the square root of sample size.
In Julio's research, the standard deviation was 4.31 lbs and the sample size was 131 cats. Therefore, the standard error is:
![SE = (\sigma)/(√(n)) \\SE = (4.31)/(√(131))\\SE=0.3766\ lbs](https://img.qammunity.org/2020/formulas/mathematics/college/dfk77t6tg73g6d869ub7te9zik2gh5l05d.png)
The standard error, rounded to two decimal plates is 0.38 lbs