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Directions: The data shown in the following histograms come from students who took introductory statistics between 2002 and 2(measured in grams) Penny mass, (n-42) 2.6 3.2 3.4 2.4 3.0 2.8 qualitative (categorical) quantitative nominal ordinal interva

Directions: The data shown in the following histograms come from students who took introductory statistics between 2002 and 2008 from a small institution in the PNW (not UWT, by the way). 1. For each data set, determine the variable type: qualitative (categorical) or quantitative. 2. For each data set, determine the level of measurement: nominal, ordinal, interval, or ratio 3. Then describe the shape of each distribution using the terminology discussed in class: unimodal, bimodal, right-skewed, left-skewed, symmetric, or uniform. Note: when looking at distribution shape, look at the rough pattern, not every single bump.
(measured in grams) Penny mass, (n-42) 2.6 3.2 3.4 2.4 3.0 2.8 qualitative (categorical) quantitative nominal ordinal interval ] ratio unimodal bimodal right-skewed left-skewed symmetric uniform
math   Statistics-And-Probability   
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Answer #1

The data variable is quantitative.

Since we are measuring penny mass, which is a quantity.

This is an example of an interval measurement unit.

The penny mass lies within a specified interval

The distribution is right skewed

The peak of the histogram tends to the left.

Let me know in comments if anything is not clear. Will reply ASAP. Please do upvote if satisfied.

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