Step 1 :The question is asking for the value of the test statistic in a hypothesis test comparing the means of two populations. The test statistic in this case is a t-statistic, which is calculated using the formula: \(t = \frac{{mean1 - mean2}}{{\sqrt{{(sd1^2/n1) + (sd2^2/n2)}}}}\) where mean1 and mean2 are the sample means, sd1 and sd2 are the sample standard deviations, and n1 and n2 are the sample sizes.
Step 2 :In this case, mean1 = 150, mean2 = 159, sd1 = 12, sd2 = 18, n1 = 11, and n2 = 13. We can plug these values into the formula to calculate the t-statistic.
Step 3 :\(mean1 = 150\)
Step 4 :\(mean2 = 159\)
Step 5 :\(sd1 = 12\)
Step 6 :\(sd2 = 18\)
Step 7 :\(n1 = 11\)
Step 8 :\(n2 = 13\)
Step 9 :Substitute these values into the formula, we get \(t = -1.459724186956822\)
Step 10 :The value of the test statistic, rounded to three decimal places, is \(\boxed{-1.460}\)