A sunscreen company is attempting to improve upon their formula so that it lasts in water longer. They have 4 lead scientists who each came up with a different formulas. In order to see if there is a difference in the time the sunscreen lasts the CEO collects a random sample of each of the four sunscreens the data is shown below. Test the claim that at least one sunscreen has a different lifespan in water at a 0.05 level of significance. Sunscreen A Sunscreen B Sunscreen C Sunscreen D 81 75 52 79 77 34 40 87 64 39 32 72 47 43 61 58 57 47 48 46
A sunscreen company is attempting to improve upon their formula so that it lasts in water longer. They have 4 lead scientists who each came up with a different formulas. In order to see if there is a difference in the time the sunscreen lasts the CEO collects a random sample of each of the four sunscreens the data is shown below. Test the claim that at least one sunscreen has a different lifespan in water at a 0.05 level of significance.
Sunscreen A | Sunscreen B | Sunscreen C | Sunscreen D |
81 | 75 | 52 | 79 |
77 | 34 | 40 | 87 |
64 | 39 | 32 | 72 |
47 | 43 | 61 | 58 |
57 | 47 | 48 | 46 |
80 | 43 | 38 | 63 |
The hypotheses for this ANOVA test would be:
H0:μA=μB=μC=μDH0:μA=μB=μC=μD
HA:HA: At least one mean is different. (claim)
α=0.05α=0.05
Complete the ANOVA table below: (round answers to 3 decimal places)
SS | df | MS | F | p-value | |
Between | |||||
Within |
The decision of the test is to:
- reject H0H0
- do not reject H0H0
The final conclusion is:
- There is not enough evidence to reject the claim that at least one sunscreen lasts a different amount of time.
- There is enough evidence to support the claim that at least one sunscreen lasts a different amount of time.
- There is not enough evidence to support the claim that at least one sunscreen lasts a different amount of time.
- There is enough evidence to reject the claim that at least one sunscreen lasts a different amount of time.
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