12) In constructing a confidence interval for o or o², a table is used to find the critical values 12)_ and X for values of n<101. For larger values of n, x and X 2. can be approximated by using the following formula: +V2k -1 where k is the number of degrees of freedom and z2 is the critical z-score. Construct the 90% confidence interval for ơ using the following sample data: a sample of size n= 232 yields a mean weight of 154 lb and a standard deviation of 25.5 lb. Round the confidence interval limits to the nearest hundredth. A) 23.66 lb < o<27.58 lb B) 23.39 lb

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12) In constructing a confidence interval for o or o², a table is used to find the critical values
12)_
and X
for values of n<101. For larger values of n, x
and X
2.
can be
approximated by using the following formula:
+V2k -1 where k is the
number of degrees of freedom and z2 is the critical z-score. Construct the 90% confidence
interval for ơ using the following sample data: a sample of size n= 232 yields a mean
weight of 154 lb and a standard deviation of 25.5 lb. Round the confidence interval limits to
the nearest hundredth.
A) 23.66 lb < o<27.58 lb
B) 23.39 lb <o <28.09 lb
C) 24.09 lb < o <27.15 lb
D) 23.71 lb< o <27.65 lb
Transcribed Image Text:12) In constructing a confidence interval for o or o², a table is used to find the critical values 12)_ and X for values of n<101. For larger values of n, x and X 2. can be approximated by using the following formula: +V2k -1 where k is the number of degrees of freedom and z2 is the critical z-score. Construct the 90% confidence interval for ơ using the following sample data: a sample of size n= 232 yields a mean weight of 154 lb and a standard deviation of 25.5 lb. Round the confidence interval limits to the nearest hundredth. A) 23.66 lb < o<27.58 lb B) 23.39 lb <o <28.09 lb C) 24.09 lb < o <27.15 lb D) 23.71 lb< o <27.65 lb
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