Construct a 95% confidence interval for µ1 - 42 with the sample statistics for mean calorie Bakery A Bakery B content of two bakeries' specialty pies and confidence interval construction formula below. Assume the populations are approximately normal with equal variances. X, 3 1893 сal X2 = 1671 cal S, = 131 cal S2 = 197 cal n, = 6 n2 = 6 1 + 1 1 + - Confidence interval when n2 n2 2+ (x- x) > ? - tt> variances are equal (n, - 1) s? + (n2 - 1) s? where and d.f. =n, + n, -2 n, +n2 -2 ...... Enter the endpoints of the interval. |

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Construct a 95% confidence interval for µ1 - 42 with the sample statistics for mean calorie
Bakery A
Bakery B
content of two bakeries' specialty pies and confidence interval construction formula below.
Assume the populations are approximately normal with equal variances.
X, 3 1893 сal
X2 = 1671 cal
S, = 131 cal
S2 = 197 cal
n, = 6
n2 = 6
1
+
1
1
+ -
Confidence interval when
n2
n2
o1+ (x- x) > ?1 - >
variances are equal
(n, - 1) s? + (n2 - 1) s?
where
and d.f. = n, + n, -2
n, +n2 -2
......
Enter the endpoints of the interval.
(Round to the nearest integer as needed.)
|> ZrH – brl >O
Transcribed Image Text:Construct a 95% confidence interval for µ1 - 42 with the sample statistics for mean calorie Bakery A Bakery B content of two bakeries' specialty pies and confidence interval construction formula below. Assume the populations are approximately normal with equal variances. X, 3 1893 сal X2 = 1671 cal S, = 131 cal S2 = 197 cal n, = 6 n2 = 6 1 + 1 1 + - Confidence interval when n2 n2 o1+ (x- x) > ?1 - > variances are equal (n, - 1) s? + (n2 - 1) s? where and d.f. = n, + n, -2 n, +n2 -2 ...... Enter the endpoints of the interval. (Round to the nearest integer as needed.) |> ZrH – brl >O
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