Answer:
a
The decision rule is
Reject the null hypothesis
The conclusion is
There is sufficient evidence to show that there is a difference between the performances of these two models
b
The 95% confidence interval is
Step-by-step explanation:
From the question we are told that
The sample size is n = 36
The first sample mean is 
The first standard deviation is
The second sample mean is 
The second standard deviation is 
The level of significance is 
The null hypothesis is 
The alternative hypothesis is 
Generally the test statistics is mathematically represented as

=> 
=> 
From the z table the area under the normal curve to the left corresponding to 2.3 is

Generally the p-value is mathematically represented as

=> 
=> 
From the value obtained we see that
hence
The decision rule is
Reject the null hypothesis
The conclusion is
There is sufficient evidence to show that there is a difference between the performances of these two models
Considering question b
From the question we are told the confidence level is 95% , hence the level of significance is
=>
Generally from the normal distribution table the critical value of
is
Generally the margin of error is mathematically represented as
=>
=>
Generally 95% confidence interval is mathematically represented as
=>
=>