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Answer:
Step-by-step explanation:
Hello!
You need to test if the population means of 5 populations are equal. To do so, with the given hypothesis, the best is to conduct an ANOVA. The hypothesis test for the ANOVA is a one-tailed F-test.
a) Hypothesis:
H₀: μ₁= μ₂= μ₃= μ₄= μ₅
H₁: At least two μi are unequal.
α: 0.05
The statistic is:
[tex]F= \frac{MSTr}{MSE}[/tex]~[tex]F_{I_1-1;J_2-1}[/tex]
As I said before, this is a one-tailed test, which means that you will reject the null hypothesis when the values of the statistic are big.
Critical value:
[tex]F_{4;3;0.95} = 9.12[/tex]
If F ≥ 9.12, then reject the null hypothesis.
If F < 9.12, then do not reject the null hypothesis.
[tex]F_{H0}= \frac{2673.3}{1094.2}= 2.44[/tex]
Since the calculated value is less than the critical value, the decision is to not reject the null hypothesis. This means that the population means are equal.
b) The p-value is defined as the probability corresponding to the calculated statistic if possible under the null hypothesis (i.e. the probability of obtaining a value as extreme as the value of the statistic under the null hypothesis).
You calculate it as:
P(F≥2.44) = 1 - P(F<2.44) = 1 - 0.755203 = 0.244797
As you see the p-value is greater than the level of significance, so with this method you reach also decide to not reject the null hypothesis.
I hope you have a SUPER day!
The H_o is not rejected at significance level at 0.05 and the p-value is > 0.05
Data;
- MSTr = 2673.3
- MSE = 1094.2
f_ test
The f-critical value for the rejection region is F(0.05 - 4.15) = 3.05
Given that MSTr is
[tex]MST_r = 2673*3 = 8019\\MSE = 1094.102[/tex]
The f-test value is
[tex]f= \frac{MST_r}{MSE} = \frac{8019}{1094.102} =88[/tex]
f = 88 < f(0.55, 4.15) = 3.05
H_o is not rejected at significance level at 0.05
P-value
The p-value is the rea under f curve to the right of 2.44.
This shows that p-value > 0.05
Learn more on p-value here;
https://brainly.com/question/4621112