A manufacture of rayon wants to compare that the yield strength of 5 11⋅ kg/ 2 mm is
met or not at 5% level of significance. The manufacturer draws a sample and
calculates the mean to be 8 12⋅ kg/ 2 mm and the standard derivation is known to be
2⋅0kg/ mm .
2
Carry out the statistical test appropriate for this.
Null and Alternative Hypotheses
The following null and alternative hypotheses need to be tested:
"H_0: \\mu=5.11\\ kg\/mm^2"
"H_1: \\mu\\not=5.11\\ kg\/mm^2"
This corresponds to a two-tailed test, for which a t-test for one mean, with unknown population standard deviation, using the sample standard deviation, will be used.
Based on the information provided, the significance level is "\\alpha=0.05" and "df=n-1=30-1=29" degrees of freedom.
The critical value for a two-tailed test is "t_c=2.04523."
The rejection region for this two-tailed test is "R=\\{t:|t|>2.04523\\}."
The "t" - statistic is computed as follows:
Since it is observed that "|t|=8.24322>2.04523=|t_c|," it is then concluded that the null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population mean "\\mu" is different than "5.11," at the "\\alpha=0.05" significance level.
Using the P-value approach: The p-value for two-tailed, the significance level "\\alpha=0.05, t=8.24322" and "df=29" degrees of freedom is "p<0.00001,"
and since "p<0.00001<0.05=\\alpha," it is concluded that the null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population mean "\\mu" is different than "5.11," at the "\\alpha=0.05" significance level.
Therefore, there is enough evidence to claim that the yield strength is different than "5.11," at the "\\alpha=0.05" significance level.
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