A machine fills boxes of cereal in a factory. The average weight of cereal in a random sample of 17 boxes is calculated to be 350 grams and the sample standard deviation is calculated to be 8 grams. Weights of cereal per box are known to follow a normal distribution. We calculate a 90% confidence interval for the true mean weight of cereal per box. The margin of error for the appropriate confidence interval is:
Solution :
Given that,
= 350
s =8
n =
Degrees of freedom = df = n - 1 =17 - 1 = 16
a )
At 90% confidence level the t is ,
= 1 - 90% = 1 - 0.90 = 0.1
/ 2 = 0.1 / 2 = 0.05
t
/2,df = t0.05,16= 1.746 ( using student t
table)
Margin of error = E = t/2,df
* (s /
n)
= 1.746 * (8 /
17)
Margin of error = E= 3.3877
The 90% confidence interval estimate of the population mean is,
- E <
<
+ E
350- 3.3877 <
< 350+ 3.3877
346.6123 <
< 353.3877
(346.6123 , 353.3877 )
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