Solution-
Let,
X1 = Part of the field that did not receive
fertilizer
X2 = Part of the field that had fertiliser.
● last option has correct hypothesis
Ho: μf = μN
HA: μf < μN
◆ Test Results-


Test Results that the null hypothesis is
rejected.
So there is enough evidence to claim that the new
fertilizer significantly increase the crop yield.
The provided sample means are shown below: X1 = 601 X2 = 675 Also, the provided sample standard deviations are: $1 = 90 S2 = 100 and the sample sizes are nı = 32 and n2 = 36. (1) Null and Alternative Hypotheses The following null and alternative hypotheses need to be tested: Ho: M1 = M2 Ha: M1 < M2 This corresponds to a left-tailed test, for which a t-test for two population means, with two independent samples, with unknown population standard deviations will be used. (2) Rejection Region Based on the information provided, the significance level is a = 0.01, and the degrees of freedom are df = 66. In fact, the degrees of freedom are computed as follows, assuming that the population variances are equal: Hence, it is found that the critical value for this left-tailed test is te = –2.384, for a = 0.01 and df = 66. The rejection region for this left-tailed test is R = {t:t < -2.384}.
(3) Test Statistics Since it is assumed that the population variances are equal, the t-statistic is computed as follows: t= X1 - 72 „(m11) s{+(12-1) si ( 1 + 1) ni+n2-2 = -3.192 601 - 675 (32-1)902+(36-1)1002 - 32+36- 2 3 2 + 36) Plo (4) Decision about the null hypothesis Since it is observed that t = -3.192 <te= -2.384, it is then concluded that the null hypothesis is rejected. Using the P-value approach: The p-value is p = 0.0011, and since p= 0.0011< 0.01, it is concluded that the null hypothesis is rejected. (5) Conclusion It is concluded that the null hypothesis Ho is rejected. Therefore, there is enough evidence to claim that population mean mi is less than M2, at the 0.01 significance level. Confidence Interval The 99% confidence interval is –135.499 < MI – M2 < -12.501. Graphically. T-Test: t= -3.192, p = 0.0011 0.40 0.35 0.30 0.20 0.15 0.10 0.05 0.00 -4.0 -3.5 -3.0 -2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0