Define confidence interval and degree of confidence. Provide at least one example of a confidence interval and interpret the result.

confidence interval:

This tells us the degree of certainty or uncertainty that is existent in a sampling method. It gives us a range of values, telling us we are fairly sure that our true value or parameter lies within the range.

Degree of confidence:

This tells us that the confidence interval has captured the true/exact population parameter.

If we have 95% degree of confidence, we are 95% sure that that the exact/true parameter are in the confidence interval

hope it you

step-by-step explanation:

sin(7pi/6 - pi/3)  

= sin(7pi/6 - 2pi/6)  

= sin(5pi/6)  

= sin(pi - pi/6)  

= sin(pi/6)  

= 1/2  

sin 7pi/6 - sin pi/3  

= sin (pi + pi/6) - sin pi/3  

= -sin pi/6 - sin pi/3  

= -1/2 - sqrt(3)/2  

= -(1+sqrt(3))2