Answer:
= ( 50.66, 57.34)
Step-by-step explanation:
Confidence interval can be defined as a range of values so defined that there is a specified probability that the value of a parameter lies within it.
The confidence interval of a statistical data can be written as.
x+/-zr/√n
Given that;
Mean x = 54 ounces
Standard deviation r = 11.7 ounces
Number of samples n = 49
Confidence interval = 95%
z(at 95% confidence) = 2
Substituting the values we have;
54+/-2(11.7/√49)
54+/-2(1.671428571428)
54+/-3.342857142857
54+/-3.34
= ( 50.66, 57.34)
Therefore, the 95% confidence interval (a,b)
= ( 50.66, 57.34)
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