Let
denote the average concentration at bottom and mid-depth
respectively.
1.
2.
g) ans-> i)
111, 112
Here, 21 = 5.217,81 = 1.0852, n1 = 6,72 = 4.233, S2 = 0.7062, n2 = 6 and associated degrees of freedom df= = 9 Ĉ + ni -1 n2-1 The Standard error is 81 1.092 SE= + + 0.712 6 0.529 ni n2 6 The critical value is tcritical = t10.0 2,9 =t0.05,9 = 1.8331131.833 The margin of error is 1.092 0.712 1.092 0.712 ME=t1 0.9 ,9 * + =t0.050,9 * + 1.833* + 0.968933 0.969 ni n2 6 6 6 6 a 90 percent confidence interval for the differnce in population means (Mi - U2 ) is si S = či - 72 + *t 1-0.900 ni n2 = 21 - 22 + ME = (5.217 – 4.233) +0.968933 = 0.983 +0.968933 (0.014400, 1.952266) (0.014, 1.952)
Hypotheses : To test null hypothesis HM1-M2 = 0 against alternative hypothesis H1 H1-42 > 0 This is a one tailed right sided test as the alternative hypothesis contains '>' sign. Here, C1 = 5.22, S1 = 1.09, n1 = 6,72 = 4.23, 82 = 0.71, n2 6 The test statistic can be written as: (21 02-0 ta 5 + $ 112 V m which under H, follows at distribution with 8 df. where + 1.092 + 0.71 Ti df= 8 (1.092) 0 1 (719) 61 + + -1 T2-1 and standard error for the difference between means 87 82 1.092 SE= + + 0.712 6 = 0.528573 ni n2 6 Decision rule / Rejection region : We reject H, at 0.01 level of significance if P-value < 0.01 or if tstat > t0.01,df 0.4 - 0.3- 20.2- 30.1- 0.0- -2 t Now, Value of the test statistic : The value of the test statistic is tstat = (5.22 - 4.23) 1.09 + 0.71 = 1.860357 1.860 6 associated degrees of freedom = 8 The critical value = t critical = t0.01,8 =2.896459 2.896 P-value = P(ts > tstat) = P(t: > 1.860357)=1- P(t< 1.860357) = 1-0.950062 = 0.049938 0.0499 Conclusion : Since p-value > 0.01 and tstat > tcritical = 2.896, so We fail to reject H, at 0.01 level of significance Hence, we can conclude that mean for first population is not significantly greater than the mean for second population.