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Replicate # Diet with Martin Grass Seeds Control Diet


1 8.3 10


2 6.6 4.8


3 4.4 4


4 13.2 2.8


5 5.1 4


6 11 9


7 19.8 3.8


8 4.4 14.3


9 7.8 7


10 5.2 7


11 11 6


12 8 8


13 3.4 3


14 2.1 2


15 2.2 3.3


16 6.8 15.8


17 10.5 2


18 5.2 4.8


19 6.1 2


20 5.7 6.8


21 7.7 3


22 13.2 5


23 3.8 5


24 5.3 2.4


25 7.7 6.9


26 4.4 7.8


27 8.9 7.8


28 11 2.3


29 5.7 2.4


30 14 1.8


Hint: To perform the analysis, the easiest way is to copy and paste the data into MS Excel and use the Data Analysis ToolPak to perform the requested calculations. Assume the treatment groups have equal variance.


Answer to 3 decimals unless otherwise specified.


1. All of these numbers are generated in the Data Analysis ToolPak:


= mean weight of treatment group


= mean weight of control group


= variance of treatment group


= variance of control group


= pooled variance


= degrees of freedom (whole number)


= calculated t statistic reported by the data analysis tool pack (NOTE: t statistic should always be a positive number)


= P value reported by the data analysis tool pack (answer to 3 significant figures)


= critical t subscript 0.05 comma d f end subscript reported by the data analysis tool pack.


Based on this, would you reject or fail to reject the null hypothesis?


As a result of this experiment, researchers would or would not expect mice in fields with Martin Grass to weigh more than mice in fields without Martin Grass.


2. A _____ with _____ would best represent these data and help Dr. Nkrumah evaluate the hypothesis. (bar graph, two bars, 30 bars, 60 bars, line graph, 2 lines, 30 lines, 60 lines, scatter plot, 60 points)

Answer :

Final answer:

To analyze the data, use Excel and the Data Analysis ToolPak. Determine whether to reject or fail to reject the null hypothesis. Consider whether mice in fields with Martin Grass would weigh more than mice in fields without.

Explanation:

The question asks to replicate the Diet with Martin Grass Seeds Control Diet and provides a set of numbers for the treatment and control groups. To analyze the data, the easiest way is to use MS Excel and the Data Analysis ToolPak. By copying and pasting the data, we can calculate the mean weights, variances, pooled variance, degrees of freedom, t statistic, P value, and critical t subscript 0.05 comma d f end subscript. Based on these results, we can determine whether to reject or fail to reject the null hypothesis. Additionally, the question asks whether researchers would expect mice in fields with Martin Grass to weigh more than mice in fields without Martin Grass.

Answering the second part of the question, a bar graph with two bars would be the best way to represent the data and help Dr. Nkrumah evaluate the hypothesis.

Learn more about Statistical analysis here:

https://brainly.com/question/33812621

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