In: Statistics and Probability
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 0.10 level of significance.
Sunscreen A | Sunscreen B | Sunscreen C | Sunscreen D |
51 | 69 | 37 | 79 |
44 | 36 | 52 | 55 |
89 | 48 | 66 | 62 |
64 | 72 | 61 | 81 |
48 | 32 | 48 | 59 |
63 | 66 | 35 | 80 |
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=0.10α=0.10
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:
The final conclusion is:
Solution:
We can use the excel data analysis tool to find the answers to the given questions. The excel output is given below:
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
Sunscreen A | 6 | 359 | 59.83333333 | 269.3666667 | ||
Sunscreen B | 6 | 323 | 53.83333333 | 307.3666667 | ||
Sunscreen C | 6 | 299 | 49.83333333 | 155.7666667 | ||
Sunscreen D | 6 | 416 | 69.33333333 | 141.8666667 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 1294.125 | 3 | 431.375 | 1.973428386 | 0.150449036 | 2.380087057 |
Within Groups | 4371.833333 | 20 | 218.5916667 | |||
Total | 5665.958333 | 23 |
The hypotheses for this ANOVA test would be:
HA: At least one mean is different. (claim)
Complete the ANOVA table below: (round answers to 3 decimal places)
Source of Variation | SS | df | MS | F | P-value |
Between | 1294.125 | 3 | 431.375 | 1.973 | 0.150 |
Within | 4371.833 | 20 | 218.592 |
The decision of the test is to:
Answer: do not reject H0
The final conclusion is:
There is not enough evidence to support the claim that at least one sunscreen lasts a different amount of time.