A random sample of five observations from three normally distributed populations produced the following data: (You may find it useful to reference the F table.)
Treatments | ||||||||||
A | B | C | ||||||||
25 | 17 | 22 | ||||||||
25 | 19 | 26 | ||||||||
27 | 25 | 26 | ||||||||
32 | 18 | 30 | ||||||||
18 | 17 | 27 | ||||||||
x−Ax−A |
= |
25.4 | x−Bx−B | = | 19.2 | x−Cx−C | = | 26.2 | ||
s2AsA2 | = | 25.3 | s2BsB2 | = | 11.2 | s2CsC2 | = | 8.2 | ||
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a. Calculate the grand mean. (Round intermediate calculations to at least 4 decimal places and final answer to 4 decimal places.)
b. Calculate SSTR and MSTR. (Round intermediate calculations to at least 4 decimal places and final answers to 4 decimal places.)
c. Calculate SSE and MSE. (Round intermediate calculations to at least 4 decimal places and final answers to 4 decimal places.)
d. Specify the competing hypotheses in order to determine whether some differences exist between the population means.
H0: μA = μB = μC; HA: Not all population means are equal.
H0: μA ≤ μB ≤ μC; HA: Not all population means are equal.
H0: μA ≥ μB ≥ μC; HA: Not all population means are equal.
e-1. Calculate the value of the F(df1, df2) test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.)
e-2. Find the p-value.
p-value < 0.01
f. At the 10% significance level, what is the conclusion to the test?
Reject H0 since the p-value is less than significance level.
Do not reject H0 since the p-value is not less than significance level.
Do not reject H0 since the p-value is less than significance level.
Reject H0 since the p-value is not less than significance level.
g. Interpret the results at αα = 0.10.
We cannot conclude that some means differ.
We conclude that some means differ.
We conclude that all means differ.
We conclude that population mean C is greater than population mean A.
Applying one way ANOVA: (use excel: data: data analysis: one way ANOVA: select Array): |
Source | SS | df | MS | F | P value | Fcrit |
Between | 146.80 | 2 | 73.400 | 4.926 | 0.027 | 3.885 |
Within | 178.80 | 12 | 14.9000 | |||
Total | 325.60 | 14 |
a)
grand mean =23.60
b)
SSTR=146.80
MSTR =73.40
c)
SSE =178.80
MSE =14.90
d)
H0: μA = μB = μC; HA: Not all population means are equal.
e)
0.025 p-value < 0.05
f)
Reject H0 since the p-value is less than significance level.
g)
We conclude that some means differ.
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