In: Statistics and Probability
The following statistics are computed by sampling from three normal populations whose variances are equal: (You may find it useful to reference the t table and the q table.)
xbar = 26.5, n1 = 7; xbar−2= 32.2, n2 = 8; xbar 3= 35.7, n3 = 6; MSE = 33.2
a. Calculate 99% confidence intervals for μ1 − μ2, μ1 − μ3, and μ2 − μ3 to test for mean differences with Fisher’s LSD approach. (Negative values should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places. Round your answers to 2 decimal places.)
Population Mean Difference | Confidence Interval | Can we conclude that the population means differ? |
---|---|---|
mu 1 -mu 2 | ||
mu 1- mu 3 | ||
mu 2 - mu 3 |
b. Repeat the analysis with Tukey’s HSD approach. (If the exact value for nT – c is not found in the table, then round down. Negative values should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places. Round your answers to 2 decimal places.)
Population Mean Difference | Confidence Interval | Can we conclude that the population means differ? |
---|---|---|
mu 1 -mu 2 | ||
mu 1- mu 3 | ||
mu 2 - mu 3 |
c. Which of these two approaches would you use to determine whether differences exist between the population means?
Tukey's HSD Method since it protects against an inflated risk of Type I Error.
Fisher's LSD Method since it protects against an inflated risk of Type I Error.
Tukey's HSD Method since it ensures that the means are not correlated.
Fisher's LSD Method since it ensures that the means are not correlated.
Here we have 3 groups and total number of observations are 7+8+6=21. So degree of freedom is
df= 21-3 = 18
(a)
Critical value of t for and df = 18 using excel function "=TINV(0.01,18)" is 2.878. The Fisher's LSD Value is
The required confidence interval is
groups (i-j) | xbari | xbarj | ni | nj | LSD | xbari-xbarj | absolute diff | Lower limit | Upper limit | Significant(Yes/No) |
mu1-mu2 | 26.5 | 32.2 | 7 | 8 | 8.58 | -5.7 | 5.7 | -14.28 | 2.88 | NO |
mu1-mu3 | 26.5 | 35.7 | 7 | 6 | 9.23 | -9.2 | 9.2 | -18.43 | 0.03 | NO |
mu2-mu3 | 32.2 | 35.7 | 8 | 6 | 8.96 | -3.5 | 3.5 | -12.46 | 5.46 | NO |
(b)
Critical value for , df=18 and k=3 is
So Tukey's HSD will be
The required confidence intervals are:
groups (i-j) | xbari | xbarj | ni | nj | HSD | xbari-xbarj | Lower limit | Upper limit | Significant(Yes/No) |
mu1-mu2 | 26.5 | 32.2 | 7 | 8 | 9.91 | -5.7 | -15.61 | 4.21 | No |
mu1-mu3 | 26.5 | 35.7 | 7 | 6 | 10.65 | -9.2 | -19.85 | 1.45 | No |
mu2-mu3 | 32.2 | 35.7 | 8 | 6 | 10.34 | -3.5 | -13.84 | 6.84 | No |
(c)
Tukey's HSD Method since it protects against an inflated risk of Type I Error.