"Durable press" cotton fabrics are treated to improve their recovery from wrinkles after washing. "Wrinkle recovery angle" measures how well a fabric recovers from wrinkles. Higher is better. Here are data on the wrinkle recovery angle (in degrees) for a random sample of fabric specimens. Assume the populations are approximately normally distributed with unequal variances. A manufacturer believes that the mean wrinkle recovery angle for Hylite is better. A random sample of 25 Permafresh (group 1) and 20 Hylite (group 2) were measured. Test the claim using a 10% level of significance.
ermafresh | Hylite |
---|---|
127 | 148 |
132 | 148 |
157 | 144 |
122 | 149 |
140 | 148 |
144 | 129 |
134 | 142 |
129 | 139 |
116 | 148 |
165 | 138 |
115 | 136 |
146 | 141 |
152 | 144 |
111 | 134 |
120 | 146 |
135 | 149 |
119 | 134 |
142 | 139 |
119 | 133 |
134 | 140 |
100 | |
141 | |
123 | |
167 | |
127 |
Select the correct symbols.
H0: =__________ _____________ ___________
H1: =__________ _____________ ___________
Test Statistic= (Give answer to 4 decimal places)
p-value=___________ (Give answer to 4 decimal places)
Based on the above we choose to:
Fail to reject the null hypothesis
Accept the alternative hypothesis
Reject the null hypothesis
Accept the null hypothesis
The correct summary would be:
There is enough evidence to reject the claim
There is enough evidence to support the claim
There is not enough evidence to support the claim
There is not enough evidence to reject the claim
that the mean wrinkle recovery angle for Hylite is better.
The statistical software output for this problem is:
Two sample T hypothesis test:
μ1 : Mean of ermafresh
μ2 : Mean of Hylite
μ1 - μ2 : Difference between two means
H0 : μ1 - μ2 = 0
HA : μ1 - μ2 < 0
(without pooled variances)
Hypothesis test results:
Difference | Sample Diff. | Std. Err. | DF | T-Stat | P-value |
---|---|---|---|---|---|
μ1 - μ2 | -8.77 | 3.6025802 | 31.65498 | -2.4343663 | 0.0104 |
Hence,
Hypotheses:
Ho: μ1 = μ2
H1 : μ1 < μ2
Test statistic = -2.4344
P - value = 0.0104
Reject the null hypothesis
There is enough evidence to support the claim
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