Answer:
1)  
2)  
And we got the same decision reject the null hypothesis at 5% of significance.
Step-by-step explanation:
Previous concepts
The Chi-Square test of independence is used "to determine if there is a significant relationship between two nominal (categorical) variables". And is defined with the following statistic:
 
Where O rpresent the observed values and E the expected values.  
State the null and alternative hypothesis
Null hypothesis: The distribution  is 30% catfish, 15% bass, 40% bluegill, and 15% pike
Alternative hypothesis: The distribution  is NOT 30% catfish, 15% bass, 40% bluegill, and 15% pike
The observed values are given by the table given:
Catfish =112, BAss = 95, Bluegill=210, Pike=83
Calculate the expected values
In order to calculate the expected values we can use the following formula for each cell of the table
 




Part 1: Calculate the statistic
 
 
Calculate the critical value
First we need to calculate the degrees of freedom given by:
 
Since the confidence provided is 95% the significance would be  and we can find the critical value with the following excel code: "=CHISQ.INV(0.95,3)", and our critical value would be
 and we can find the critical value with the following excel code: "=CHISQ.INV(0.95,3)", and our critical value would be  
We can calculate also the p value:
 
And we got the same decision reject the null hypothesis at 5% of significance.