In: Statistics and Probability
Use calculator or Excel to solve the following problems. DO NOT USE MINITAB (except e). Do NOT use Excel built-in functions or solvers (except t.inv() and f.inv() to obtain critical t and f values).
The tensile strength of Portland cement is being studied. Four different mixing techniques can be used economically. A completely randomized experiment was conducted and the following data were collected:
Technique | Tensile Strength | Tensile Strength | Tensile Strength | Tensile Strength |
1 | 3129 | 3000 | 2865 | 2890 |
2 | 3200 | 3300 | 2975 | 3150 |
3 | 2800 | 290 | 2985 | 3050 |
4 | 2600 | 2700 | 2600 | 2765 |
a) Test the hypothesis that mixing techniques affect the strength of the cement (α = 0.05).
b) Use the Fisher LSD method with α = 0.05 to make comparisons between pairs of means.
c) Repeat part (b) using Tukey’s test. Do you get the same conclusions as part (b)? If not, explain why.
d) Find a 95 percent confidence interval on the mean tensile strength of the Portland cement produced by each of the four mixing techniques. Also find a 95 percent confidence interval on the difference in means for techniques a and c.
e) Construct a normal probability plot of the residuals and a plot of residuals vs. predicted values (using Minitab). What conclusion would you draw from each plot?
f) Suppose Technique d is the current mixing technique. We would like to compare it with the average effect of the new techniques (Techniques a, b and c). Also, we are interested in whether Technique b is significantly different from the average effect of the two other new techniques (Techniques a and c). Construct the required contrasts to test these and apply Scheffe’s method to make conclusions. Set α = 0.05
Hypothesis:
H0: The mean strength of the cement is the same for 4 types of
technique.
H1: The mean strength of the cement is not the same for 4 types of
technique.
Let a represent the mixing strength of technique 1
=(3129 3000 2865 2890)
Let b represent the mixing strength of technique 2
= (3200 3300 2975
3150)
Let c represent the mixing strength of technique 3
= (2800 2900 2985 3050)
Let c represent the mixing strength of technique 4
= (2600 2700 2600
2765)
(g represents grand total)
We find the mean of both groups and the entire data
No of observation in each group
no. of groups = k = 4
Next we find the difference between each observation in the
group with mean of the group and square it up.
example In group A we take the first observation and minus it the
group mean ,this
is done for each observation and for every group and summed up
Sum of square within the groups
Mean sum of square within the groups
MSW = rac{SSW}{ (n_g-k)}= 163246.72
Sum of square between the groups
Mean sum of square between the groups
Using the F table we find pvalue with df1 = 3 and df2=12
pvalue = 0.0004887
Table summarizing the output
Since the pvalue is less than 0.05, we reject the null hypothesis and conclude that the mean strength of the cement is not same for 4 types of technique
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