A lawyer claims that the average years of settling criminal cases filed before courts is three and half years. To test the claim, a watchdog organization randomly selected 35 criminal cases and recorded the years the cases took before the courts have been endered verdicts. The sample mean was 4 years with a standard deviation of three and a half years. Do the data gathered by the said organization provide sufficient basis to accept the claim of the lawyer? Use 0.05 level of significance
The following null and alternative hypotheses need to be tested:
"H_0: \\mu=3.5"
"H_1: \\mu\\not=3.5"
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,"
"df=n-1=35-1=34" degrees of freedom, and the critical value for a two-tailed test is "t_c =2.032244."
The rejection region for this two-tailed test is "R=\\{t:|t|>2.032244\\}."
The t-statistic is computed as follows:
Since it is observed that "|t| = 0.845154 \\le 2.032244=t_c ," it is then concluded that the null hypothesis is not rejected.
Using the P-value approach:
The p-value for "df=34" degrees of freedom, two-tailed, "t=0.845154" is "p = 0.403933," and since "p=0.403933>0.05=\\alpha," it is concluded that the null hypothesis is not rejected.
Therefore, there is not enough evidence to claim that the population mean "\\mu"
is different than 3.5, at the "\\alpha = 0.05" significance level.
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