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Construct a Modified Boxplot for the Data 1.72.02.22.22.42.52.52.52.6\begin{array} { l l l l l l l l l } 1.7 & 2.0 & 2.2 & 2.2 & 2.4 & 2.5 & 2.5 & 2.5 & 2.6 \end{array}

question 48

Short Answer

Construct a modified boxplot for the data. Identify any outliers.
-The weights (in ounces) of 27 tomatoes are listed below.
1.72.02.22.22.42.52.52.52.6\begin{array} { l l l l l l l l l } 1.7 & 2.0 & 2.2 & 2.2 & 2.4 & 2.5 & 2.5 & 2.5 & 2.6 \end{array}
2.62.62.72.72.72.82.82.82.9\begin{array} { l l l l l l l l l } 2.6 & 2.6 & 2.7 & 2.7 & 2.7 & 2.8 & 2.8 & 2.8 & 2.9 \end{array}
2.92.93.03.03.13.13.33.64.2\begin{array} { l l l l l l l l l } 2.9 & 2.9 & 3.0 & 3.0 & 3.1 & 3.1 & 3.3 & 3.6 & 4.2 \end{array}

A) Outliers: 1.7 oz, 4.2 oz
 Construct a modified boxplot for the data. Identify any outliers. -The weights (in ounces) of 27 tomatoes are listed below.   \begin{array} { l l l l l l l l l } 1.7 & 2.0 & 2.2 & 2.2 & 2.4 & 2.5 & 2.5 & 2.5 & 2.6 \end{array}   \begin{array} { l l l l l l l l l } 2.6 & 2.6 & 2.7 & 2.7 & 2.7 & 2.8 & 2.8 & 2.8 & 2.9 \end{array}   \begin{array} { l l l l l l l l l } 2.9 & 2.9 & 3.0 & 3.0 & 3.1 & 3.1 & 3.3 & 3.6 & 4.2 \end{array}   A) Outliers: 1.7 oz, 4.2 oz    B) No outliers    C) Outlier: 4.2 oz    D) Outliers: 1.7 oz, 3.6 oz, 4.2 oz

B) No outliers
 Construct a modified boxplot for the data. Identify any outliers. -The weights (in ounces) of 27 tomatoes are listed below.   \begin{array} { l l l l l l l l l } 1.7 & 2.0 & 2.2 & 2.2 & 2.4 & 2.5 & 2.5 & 2.5 & 2.6 \end{array}   \begin{array} { l l l l l l l l l } 2.6 & 2.6 & 2.7 & 2.7 & 2.7 & 2.8 & 2.8 & 2.8 & 2.9 \end{array}   \begin{array} { l l l l l l l l l } 2.9 & 2.9 & 3.0 & 3.0 & 3.1 & 3.1 & 3.3 & 3.6 & 4.2 \end{array}   A) Outliers: 1.7 oz, 4.2 oz    B) No outliers    C) Outlier: 4.2 oz    D) Outliers: 1.7 oz, 3.6 oz, 4.2 oz

C) Outlier: 4.2 oz
 Construct a modified boxplot for the data. Identify any outliers. -The weights (in ounces) of 27 tomatoes are listed below.   \begin{array} { l l l l l l l l l } 1.7 & 2.0 & 2.2 & 2.2 & 2.4 & 2.5 & 2.5 & 2.5 & 2.6 \end{array}   \begin{array} { l l l l l l l l l } 2.6 & 2.6 & 2.7 & 2.7 & 2.7 & 2.8 & 2.8 & 2.8 & 2.9 \end{array}   \begin{array} { l l l l l l l l l } 2.9 & 2.9 & 3.0 & 3.0 & 3.1 & 3.1 & 3.3 & 3.6 & 4.2 \end{array}   A) Outliers: 1.7 oz, 4.2 oz    B) No outliers    C) Outlier: 4.2 oz    D) Outliers: 1.7 oz, 3.6 oz, 4.2 oz

D) Outliers: 1.7 oz, 3.6 oz, 4.2 oz
 Construct a modified boxplot for the data. Identify any outliers. -The weights (in ounces) of 27 tomatoes are listed below.   \begin{array} { l l l l l l l l l } 1.7 & 2.0 & 2.2 & 2.2 & 2.4 & 2.5 & 2.5 & 2.5 & 2.6 \end{array}   \begin{array} { l l l l l l l l l } 2.6 & 2.6 & 2.7 & 2.7 & 2.7 & 2.8 & 2.8 & 2.8 & 2.9 \end{array}   \begin{array} { l l l l l l l l l } 2.9 & 2.9 & 3.0 & 3.0 & 3.1 & 3.1 & 3.3 & 3.6 & 4.2 \end{array}   A) Outliers: 1.7 oz, 4.2 oz    B) No outliers    C) Outlier: 4.2 oz    D) Outliers: 1.7 oz, 3.6 oz, 4.2 oz



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Greater Than Minimal Risk

Research situations that pose more than minimal risk to participants, exceeding the risks encountered in daily life or during routine physical or psychological examinations.

Physical Stress

The strain or discomfort experienced by the body due to factors like exertion, environment, or injury.

Fabrication

Fabrication in research is the act of making up data or results and recording or reporting them as if they were real.

Fraud

A deliberate deception made for personal gain or to damage another individual.

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