Construct a 90% confidence interval for μ1−μ2 with the sample statistics for mean calorie content of two​ bakeries' specialty pies and confidence interval construction formula below. Assume the populations are approximately normal with equal variances.  Bakery A:  x1 = 1890 calories, s1 = 134 and n1 = 8 Bakery B:  x2 = 1712, s2 = 186 calories and n1 = 9 ------------------------------------------------------------------------- The confidence interval construction formula is in the attachment. Looking for __ <μ1 − μ2< __  (Round to the nearest integer as​ needed.)

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Construct a 90% confidence interval for μ1−μ2 with the sample statistics for mean calorie content of two​ bakeries' specialty pies and confidence interval construction formula below. Assume the populations are approximately normal with equal variances. 

Bakery A:  x1 = 1890 calories, s1 = 134 and n1 = 8

Bakery B:  x2 = 1712, s2 = 186 calories and n1 = 9

-------------------------------------------------------------------------

The confidence interval construction formula is in the attachment.

Looking for __ <μ1 − μ2< __  (Round to the nearest integer as​ needed.)

 

 

1
1
1
1
(X1 - X2) - tô
<H4 -H2< (X1 - x2) +t,ô
Confidence interval when variances
n1
n2
n1
n2
are equal
(^, - 1) s? * (n2 - 1) s3
where 6
and d.f. = n1 +n2
- 2
%3D
%3D
n1 +n2 -2
Transcribed Image Text:1 1 1 1 (X1 - X2) - tô <H4 -H2< (X1 - x2) +t,ô Confidence interval when variances n1 n2 n1 n2 are equal (^, - 1) s? * (n2 - 1) s3 where 6 and d.f. = n1 +n2 - 2 %3D %3D n1 +n2 -2
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