A paint manufacturer wishes to compare the drying times of two different types of paint. Independent random samples of 11 cans of type A and 9 cans of type B were selected and applied to similar surfaces. The drying times (in hours) were recorded. The summary statistics are given in the image below. Use a 0.01 significance level to test the claim that the mean drying time for paint type A is longer than the mean drying time for paint type B.

Algebra: Structure And Method, Book 1
(REV)00th Edition
ISBN:9780395977224
Author:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. Cole
Publisher:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. Cole
Chapter2: Working With Real Numbers
Section2.3: Rules For Addition
Problem 8P
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A paint manufacturer wishes to compare the drying times of two different types of paint. Independent random samples of 11 cans of type A and 9 cans of type B were selected and applied to similar surfaces. The drying times (in hours) were recorded. The summary statistics are given in the image below. Use a 0.01 significance level to test the claim that the mean drying time for paint type A is longer than the mean drying time for paint type B.

 

Туре А
Туре В
х,
— 76.9 х, %3D 66.3
S1 = 4.5
S2 = 5.1
= 11
n2 = 9
Transcribed Image Text:Туре А Туре В х, — 76.9 х, %3D 66.3 S1 = 4.5 S2 = 5.1 = 11 n2 = 9
Linear Correlation
Critical Values and Statistical Significance
If |r| > CV, then correlation is statistically significant.
п
Critical Value (CcV)
4
.950
5
.878
.811
7
754
8
-707
.666
10
.632
11
.602
12
576
13
.553
14
.532
15
514
Transcribed Image Text:Linear Correlation Critical Values and Statistical Significance If |r| > CV, then correlation is statistically significant. п Critical Value (CcV) 4 .950 5 .878 .811 7 754 8 -707 .666 10 .632 11 .602 12 576 13 .553 14 .532 15 514
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