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Consumer Reports provides information on new automobile models, including price, mileage ratings, engine size, body size, and indicators of features. A simple random sample of 35 new models yielded the following data on fuel tank capacity, in gallons. Use cutpoint grouping with 12 as the first cutpoint and classes of equal width 2 .

We need to determine a frequency distribution.

The given data is,

The number of values that fall between the class's bounds is the frequency.

The data's frequency distribution is as follows:

$\begin{array}{|lll|}\hline \text{Class}& \text{Frequency}& \begin{array}{l}\text{Relative}\\ \text{frequency}\end{array}\\ 12<14& 2& 0.057\\ 14<16& 6& 0.171\\ 16<18& 7& 0.2\\ 18<20& 6& 0.171\\ 20<22& 6& 0.171\\ 22<24& 3& 0.086\\ 24<26& 3& 0.086\\ 26<28& 2& 0.057\\ \text{Total}& 35& 1\\ \hline\end{array}$

Consumer Reports provides information on new automobile models, including price, mileage ratings, engine size, body size, and indicators of features. A simple random sample of 35 new models yielded the following data on fuel tank capacity, in gallons. Use cutpoint grouping with 12 as the first cutpoint and classes of equal width 2 .

We need to obtain a relative-frequency distribution.

The given data is,

The frequency is divided by the overall frequency to get the relative frequency.

The data's relative frequency distribution is as follows:

$\begin{array}{|lll|}\hline \text{Class}& \text{Frequency}& \begin{array}{l}\text{Relative}\\ \text{frequency}\end{array}\\ 12<14& 2& 0.057\\ 14<16& 6& 0.171\\ 16<18& 7& 0.2\\ 18<20& 6& 0.171\\ 20<22& 6& 0.171\\ 22<24& 3& 0.086\\ 24<26& 3& 0.086\\ 26<28& 2& 0.057\\ \text{Total}& 35& 1\\ \hline\end{array}$

Consumer Reports provides information on new automobile models, including price, mileage ratings, engine size, body size, and indicators of features. A simple random sample of 35 new models yielded the following data on fuel tank capacity, in gallons. Use cutpoint grouping with 12 as the first cutpoint and classes of equal width 2 .

We need to construct a frequency histogram based on the result from part (a)

The given data is,

On a horizontal axis, the histogram shows the quantitative data classes, and on a vertical axis, the frequencies of those classes.

The bars must all be the same width and must be bordered by the lower class limitations.

The frequency must be represented by the height of the bars.

The frequency distribution histogram is shown below:

Consumer Reports provides information on new automobile models, including price, mileage ratings, engine size, body size, and indicators of features. A simple random sample of 35 new models yielded the following data on fuel tank capacity, in gallons. Use cutpoint grouping with 12 as the first cutpoint and classes of equal width 2 .

We need to construct a relative-frequency histogram based on the result from part (b)

The given data is,

On a horizontal axis, the histogram shows the quantitative data classes, and on a vertical axis, the frequencies of those classes.

The bars must all be the same width and must be bordered by the lower class limitations.

The frequency must be represented by the height of the bars.

The relative frequency distribution histogram is shown below: