The following null and alternative hypotheses need to be tested:
"Ho: \\mu_1\n\u200b\t\n = \\mu_2\\\\\n \n\nHa: \\mu_1\n\u200b\t\n \u2260 \\mu_2"
This corresponds to a two-tailed test, for which a t-test for two population means, with two independent samples, with unknown population standard deviations will be used.
Based on the information provided, the significance level isα=0.05, and the degrees of freedom are df = 16
In fact, the degrees of freedom are computed as follows, assuming that the population variances are equal(since variances given are approximately equal)
Hence, it is found that the critical value for this two-tailed test is "t_c = 2.12"
, for α=0.05 and df = 16
The t-statistic is computed as follows:
"T = \\frac{\\bar{Y_{1}} - \\bar{Y_{2}}} {s_{p}\\sqrt{1\/N_{1} + 1\/N_{2}}}" where "s_{p}^{2} = \\frac{(N_{1}-1){s^{2}_{1}} + (N_{2}-1){s^{2}_{2}}} {N_{1} + N_{2} - 2}"
substituting the values , "s_{p}^{2} = \\frac{(10-1){2.98^2} + (8-1){2.66^2}} {10 +8 - 2}" = 8.0908
Hence T= "\\frac{20.86 - 18.94} {2.8444\\sqrt{\\frac{1}{10} + \\frac{1}{8}}}" = 1.23
Since it is observed that "|t| = 1.23 \\le t_c = 2.12" , it is then concluded that the null hypothesis is not rejected.
Using the P-value approach:
Using ti84, the p-value is p=0.2364≥0.05, it is concluded that the null hypothesis is not rejected. It is concluded that the null hypothesis Ho is not rejected and is not statistically significant. Therefore, there is not enough evidence to claim that the population mean μ1 is different than "\\mu_2" at the 0.05 significance level.
Comments
Leave a comment