Asked by Andrew De La Rosa on Apr 26, 2024

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The table below displays data showing weight gain,in grams,for nine young rats,three from each of three litters.Three different diets (the treatments)were assigned at random to the three siblings in litter one (block 1).This was repeated for the other two litters (blocks 2 and 3).  Treatment 1  Treatment 2  Treatment 3  Block 1 969280 Black 2 979072 Block 3 948464\begin{array} { | c | c | c | c | } & \text { Treatment 1 } & \text { Treatment 2 } & \text { Treatment 3 } \\\hline \text { Block 1 } & 96 & 92 & 80 \\\hline \text { Black 2 } & 97 & 90 & 72 \\\hline \text { Block 3 } & 94 & 84 & 64 \\\hline\end{array} Block 1  Black 2  Block 3  Treatment 1 969794 Treatment 2 929084 Treatment 3 807264 Conduct a Friedman test at the 0.05 level of significance to determine if there are differences between the three diets.

Friedman Test

A non-parametric statistical test used to detect differences in treatments across multiple test attempts.

Level Of Significance

A threshold in statistical testing that determines if the evidence is strong enough to reject the null hypothesis.

Diets

Regulated eating plans designed to achieve certain health or fitness goals, such as weight loss, muscle gain, or disease management.

  • Learn to utilize the Friedman test in analyzing disparities among treatments or groups throughout various blocks.
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JM
Janette MarteMay 02, 2024
Final Answer :
H0: The distributions of weight gain are identical for all three diets. HA: At least two of the distributions differ from one another. T1= 9,T2 = 6,T3 = 3 Test statistic: S = 6.00,P-value = 0.0498 Reject the null hypothesis.There is sufficient evidence to suggest at least two of diets differ in terms of their distribution of weight gain.